kingers

223.92 MB | 7min 29s | mp4 | 1024X768 | 4:3 Genre:eLearning |Language:English Files Included : FileName :01 Course Overview.mp4 | Size: (3.19 MB) FileName :01 Introduction.mp4 | Size: (1.64 MB) FileName :02 Course Pipeline and Repos.mp4 | Size: (5.8 MB) FileName :03 Setting up Jenkins.mp4 | Size: (14.9 MB) FileName :04 Demo- Connect Jenkins to GitHub.mp4 | Size: (9.39 MB) FileName :05 Scripted Pipelines Hello World.mp4 | Size: (3.05 MB) FileName :06 Demo- Running a Scripted Pipeline.mp4 | Size: (6.66 MB) FileName :07 Summary.mp4 | Size: (1019.53 KB) FileName :01 Introduction.mp4 | Size: (7.2 MB) FileName :02 Demo- Build and Push a Docker Container.mp4 | Size: (8.41 MB) FileName :03 Unit Testing Workflow.mp4 | Size: (2.23 MB) FileName :04 Demo- Run Unit Tests.mp4 | Size: (13.86 MB) FileName :05 Summary.mp4 | Size: (605.1 KB) FileName :01 Introduction.mp4 | Size: (1.83 MB) FileName :02 Demo- Push a Docker Container.mp4 | Size: (12.19 MB) FileName :03 Clair Container Scanner.mp4 | Size: (2.26 MB) FileName :04 Demo- Clair.mp4 | Size: (19.33 MB) FileName :05 Grype Container Scanner.mp4 | Size: (20.16 MB) FileName :06 Demo- Grype.mp4 | Size: (17.28 MB) FileName :07 Summary.mp4 | Size: (837.31 KB) FileName :01 Introduction.mp4 | Size: (2.97 MB) FileName :02 When Conditions and Input Steps.mp4 | Size: (5.7 MB) FileName :03 Demo- When Conditions and Input Steps.mp4 | Size: (18.48 MB) FileName :04 Summary.mp4 | Size: (934.31 KB) FileName :01 Introduction.mp4 | Size: (715.99 KB) FileName :02 Demo- The Declarative Directive Generator.mp4 | Size: (14.67 MB) FileName :03 Jenkins Shared Libraries.mp4 | Size: (3.44 MB) FileName :04 Demo- Basic Groovy Library Functions.mp4 | Size: (6.07 MB) FileName :05 Demo- Advanced Groovy Library Functions.mp4 | Size: (6.45 MB) FileName :06 Demo- Shared Library Pipelines.mp4 | Size: (5.52 MB) FileName :07 Summary.mp4 | Size: (755.85 KB) FileName :jenkins-modern-ci-cd-pipeline-building.zip | Size: (6.31 MB)] Screenshot TurboBit https://turbobit.net/2wkoq8lt7cjv/Building.a.Modern.CI-CD.Pipeline.with.Jenkins.rar.html RapidGator https://rapidgator.net/file/a0e4b83d5a3b09fead4e87f652b5f869/Building.a.Modern.CI-CD.Pipeline.with.Jenkins.rar

Deep Learning: Recurrent Neural Networks in Python 2021 MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz Language: English | Size: 3.66 GB | Duration: 11h 54m GRU, LSTM, Time Series Forecasting, Stock Predictions, Natural Language Processing (NLP) using Artificial Intelligence What you'll learn Apply RNNs to Time Series Forecasting (tackle the ubiquitous "Stock Prediction" problem) Apply RNNs to Natural Language Processing (NLP) and Text Classification (Spam Detection) Apply RNNs to Image Classification Understand the simple recurrent unit (Elman unit), GRU, and LSTM (long short-term memory unit) Write various recurrent networks in Tensorflow 2 Understand how to mitigate the vanishing gradient problem Requirements Basic math (taking derivatives, matrix arithmetic, probability) is helpful Python, Numpy, Matplotlib Description *** NOW IN TENSORFLOW 2 and PYTHON 3 *** Learn about one of the most powerful Deep Learning architectures yet! The Recurrent Neural Network (RNN) has been used to obtain state-of-the-art results in sequence modeling. This includes time series analysis, forecasting and natural language processing (NLP). Learn about why RNNs beat old-school machine learning algorithms like Hidden Markov Models. This course will teach you: The basics of machine learning and neurons (just a review to get you warmed up!) Neural networks for classification and regression (just a review to get you warmed up!) How to model sequence data How to model time series data How to model text data for NLP (including preprocessing steps for text) How to build an RNN using Tensorflow 2 How to use a GRU and LSTM in Tensorflow 2 How to do time series forecasting with Tensorflow 2 How to predict stock prices and stock returns with LSTMs in Tensorflow 2 (hint: it's not what you think!) How to use Embeddings in Tensorflow 2 for NLP How to build a Text Classification RNN for NLP (examples: spam detection, sentiment analysis, parts-of-speech tagging, named entity recognition) All of the materials required for this course can be downloaded and installed for FREE. We will do most of our work in Numpy, Matplotlib, and Tensorflow. I am always available to answer your questions and help you along your data science journey. This course focuses on "how to build and understand", not just "how to use". Anyone can learn to use an API in 15 minutes after reading some documentation. It's not about "remembering facts", it's about "seeing for yourself" via experimentation. It will teach you how to visualize what's happening in the model internally. If you want more than just a superficial look at machine learning models, this course is for you. See you in class! "If you can't implement it, you don't understand it" Or as the great physicist Richard Feynman said: "What I cannot create, I do not understand". My courses are the ONLY courses where you will learn how to implement machine learning algorithms from scratch Other courses will teach you how to plug in your data into a library, but do you really need help with 3 lines of code? After doing the same thing with 10 datasets, you realize you didn't learn 10 things. You learned 1 thing, and just repeated the same 3 lines of code 10 times. Suggested Prerequisites: matrix addition, multiplication basic probability (conditional and joint distributions) Python coding: if/else, loops, lists, dicts, sets Numpy coding: matrix and vector operations, loading a CSV file WHAT ORDER SHOULD I TAKE YOUR COURSES IN?: Check out the lecture "Machine Learning and AI Prerequisite Roadmap" (available in the FAQ of any of my courses, including the free Numpy course) Who this course is for: Students, professionals, and anyone else interested in Deep Learning, Time Series Forecasting, Sequence Data, or NLP Software Engineers and Data Scientists who want to level up their career TurboBit https://turbobit.net/zbtu57nf33s8/Udemy.Deep.Learning.Recurrent.Neural.Networks.in.Python.06.2021.part1.rar.html https://turbobit.net/l2gcx9i4sx6g/Udemy.Deep.Learning.Recurrent.Neural.Networks.in.Python.06.2021.part2.rar.html https://turbobit.net/skx86r78rrk9/Udemy.Deep.Learning.Recurrent.Neural.Networks.in.Python.06.2021.part3.rar.html https://turbobit.net/yu9313mpp87c/Udemy.Deep.Learning.Recurrent.Neural.Networks.in.Python.06.2021.part4.rar.html RapidGator https://rapidgator.net/file/6b368f5df63547040f9dd2fe2b620c78/Udemy.Deep.Learning.Recurrent.Neural.Networks.in.Python.06.2021.part1.rar https://rapidgator.net/file/6541d04743c62253689fefa21f36f3a7/Udemy.Deep.Learning.Recurrent.Neural.Networks.in.Python.06.2021.part2.rar https://rapidgator.net/file/00df2c42e2aeb89e7f7f7721d6976bc1/Udemy.Deep.Learning.Recurrent.Neural.Networks.in.Python.06.2021.part3.rar https://rapidgator.net/file/53c70e53c56f2ac784771a50c55a1d1c/Udemy.Deep.Learning.Recurrent.Neural.Networks.in.Python.06.2021.part4.rar FileFactory

Complete Next.js Developer in 2023: Zero to Mastery Last Updated 11/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 433 lectures • 36h 52m | Size: 21.9 GB Master NextJS and build enterprise level fullstack ReactJS apps. Taught by industry expert, using modern best practices! What you'll learn Build REAL enterprise level NextJS applications and deploy to production Learn to build reactive, performant, large scale applications like a senior developer Learn the latest features and tools in the NextJS ecosystem including, SWR (React Hooks), Hasura, Serverless Functions, Vercel, Framer Motion + more Learn the different rendering techniques: static site generation, server side rendering, incremental static regeneration, hydration, etc. Using GraphQL as a NextJS Developer Become the top 10% NextJS Developer Set up authentication and user accounts (including password-less login!) Using Airtable (which is exploding in popularity) to build full stack applications Learn about SEO and how to use NextJS to have your applications rank on Google Master the latest ecosystem of a NextJS Developer from scratch Learn to lead Next JS projects by making good architecture decisions and helping others on your team Using the latest ES6/ES7/ES8/ES9/ES10/ES2020/ES2021 JavaScript to write clean code Requirements Basic HTML, CSS and JavaScript knowledge You do not need any experience with React or any other JS framework! We even provide introductory React lectures as an option! Description Just released with all the latest Next.js features for 2023! Join a live online community of over 900,000+ developers and a course taught by industry experts that have actually worked with Next.js both in Silicon Valley and Toronto. Ankita is also a regular speaker and lecturer at all the Next.js and React conferences. Using the latest version of Next.js, this course is focused on efficiency. Never spend time on confusing, out of date, incomplete tutorials anymore. Graduates of Andrei's courses are now working at Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, + other top tech companies for a reason. We guarantee you this is the most comprehensive online resource on Next.js and React. This project based course will introduce you to all of the modern toolchain of a Next.js developer in 2023. Along the way, we will build a massive Netflix Clone application using React Hooks, Hasura (GraphQL), Context API, Airtable, Serverless Functions, Framer Motion, Vercel + more. This is going to be a full stack app unlike what you see in most "easy" tutorials online! The curriculum is going to be very hands on as we walk you from start to finish of releasing a professional Next.js project all the way into production. We will start from the very beginning by teaching you Next.js fundamentals, and then going into advanced topics so you can make good decisions on architecture and tools on any of your future NextJS projects. All code is going to be provided step by step, and even if you don't like to code along, you will get access to the the full master project code so anyone signed up for the course will have their own project to put on their portfolio right away. This is what the course will cover: 1. Next.js Fundamentals Comparing Next.js with React, and learning about the benefits that Next.js offers. You will understand why Next.js has gained so much popularity and what JAM Stack is all about. This section will build the foundation you need for the rest of the course. 2. Build your first Next.js app | Coffee Connoisseur We will be building the first project right away. This 1st one mainly teaches the fundamentals of Next.js. This section focuses on setting up the project, teaching fundamentals such as css modules, fast refresh, how the project is setup, etc. 3. Routing with Next.js | Coffee Connoisseur You will learn everything about routing such as dynamic routes, index routes, named routes, Link component. 4. Styling in Next.js | Coffee Connoisseur This section will teach you how to style your applications using css modules, separate components styles, and global styles. 5. Hydration, SEO and Different Rendering Techniques in Next.js This is one of the most important section of the course. The section will teach you about what SEO is, how Next.js helps with SEO, what the different rendering techniques are such as: static site generation, server side rendering, incremental static regeneration (and how they are different), client side rendering, and what is hydration. 6. Static Coffee Store Pages | Coffee Connoisseur Students will learn about static rendering in detail and how to choose what to statically render. You will make API requests to Foursquare and rendering those using SSG. 7. Coffee stores by Location | Coffee Connoisseur Next.js allows you to use different fallbacks when you choose to statically render. This section will talk about that in depth and you will also learn how to retrieve users location and use the Context API. 8. Serverless functions | Coffee Connoisseur What are serverless functions? Why do we use them and when? You will be creating serverless functions for retrieving static coffee stores. 9. Store Coffee Store using Airtable | Coffee Connoisseur You will learn about database storage using Airtable. We will be storing the coffee store data in Airtable and will learn client side rendering here. 10. SWR with Client Side Rendering | Coffee Connoisseur What is SWR? When to use it? We will be using the Next.js library for SWR, and using SWR and client side rendering in this section. 11. Deployment and Build Optimization | Coffee Connoisseur Deploy your app to Vercel as well as Netlify. You will learn what the different cloud providers are and how Vercel is different, what is Lighthouse, and how to improve our performance in Next.js. 12. Project Setup | Netflix with Next.js This is a big one! You will start to set up for the final project. This section is about setting up our Netflix project. 13. Netflix Home Page and Video | Netflix with Next.js You will build the home page and use server side rendering. You will learn how to server render content, and we will also invoke the YouTube API to get a list of videos and display on the home page. Card component is complex in Netflix so you will also learn some framer motion to build the card component. 14. Authentication with Magic | Netflix with Next.js How does Auth works in Next.js? We will be using passwordless login in Next and build the login page with proper authentication and validation. 15. Incremental Static Regeneration | Netflix with Next.js Display the videos on the home page and use ISR to build the modal as a page. You will learn more about incremental static generation to build this modal. 16. Hasura GraphQL | Netflix with Next.js You will learn what is GraphQL, Hasura, and how Hasura architecture looks like. We will be setting up the project with the Hasura environment. 17. Authentication with Hasura | Netflix with Next.js You will learn how auth flow architecture works, and introduce server side SDK to log the user in. 18. Ratings service and Favourited Videos Page | Netflix with Next.js You will setup Hasura for ratings service, create ratings API to like and dislike videos, and build the my list page to show a list of favourited YouTube videos. 19. Deploying to Production | Netflix with Next.js Create the final GitHub repo, setup the repo, and finally deploy to Vercel! 20. Appendix: Introduction to React An optional section for those that need a primer on React.js and React Hooks to get you ready to fully get the most out of this course. ------ We guarantee you this is the best course out there on Next.js. This course is not about making you just code along without understanding the principles so that when you are done with the course you don't know what to do other than watch another tutorial. No! This course will push you and challenge you to go from an absolute beginner in Next.js to someone that is in the top 10% of Next.js and React developers. We guarantee it. See you inside the course! Who this course is for: Students who are interested in going beyond a normal "beginner" tutorial Programmers who want to learn the most in demand skill of a web developer Developers that want to be in the top 10% of NextJS Developers Students who want to gain experience working on a scalable large application Bootcamp or online tutorial graduates that want to go beyond the basics Students who want to learn from real industry experts, not just another online instructor that teaches off of documentation TurboBit https://turbobit.net/jtgzrmte5kpm/Zerotomastery.-.Complete.Next.js.Developer.in.2023.Zero.to.Mastery.part01.rar.html https://turbobit.net/fvfpub08guv7/Zerotomastery.-.Complete.Next.js.Developer.in.2023.Zero.to.Mastery.part02.rar.html https://turbobit.net/1g0qo0jc3ibf/Zerotomastery.-.Complete.Next.js.Developer.in.2023.Zero.to.Mastery.part03.rar.html https://turbobit.net/p4brnl4xncze/Zerotomastery.-.Complete.Next.js.Developer.in.2023.Zero.to.Mastery.part04.rar.html https://turbobit.net/4clvhu191m7g/Zerotomastery.-.Complete.Next.js.Developer.in.2023.Zero.to.Mastery.part05.rar.html https://turbobit.net/2k6qa2g6d6or/Zerotomastery.-.Complete.Next.js.Developer.in.2023.Zero.to.Mastery.part06.rar.html https://turbobit.net/82wg4rjx1tkz/Zerotomastery.-.Complete.Next.js.Developer.in.2023.Zero.to.Mastery.part07.rar.html https://turbobit.net/4h3jza5ta3ug/Zerotomastery.-.Complete.Next.js.Developer.in.2023.Zero.to.Mastery.part08.rar.html https://turbobit.net/om61i9j509m4/Zerotomastery.-.Complete.Next.js.Developer.in.2023.Zero.to.Mastery.part09.rar.html https://turbobit.net/jdldvyyf1un2/Zerotomastery.-.Complete.Next.js.Developer.in.2023.Zero.to.Mastery.part10.rar.html https://turbobit.net/p1bm779mf43f/Zerotomastery.-.Complete.Next.js.Developer.in.2023.Zero.to.Mastery.part11.rar.html RapidGator https://rapidgator.net/file/787735fedef9881aba90c0715550165b/Zerotomastery.-.Complete.Next.js.Developer.in.2023.Zero.to.Mastery.part01.rar https://rapidgator.net/file/e32306f7c3cd28aa7677d43b3306609e/Zerotomastery.-.Complete.Next.js.Developer.in.2023.Zero.to.Mastery.part02.rar https://rapidgator.net/file/6d33ceaf258ea4aab40b38267816eb6c/Zerotomastery.-.Complete.Next.js.Developer.in.2023.Zero.to.Mastery.part03.rar https://rapidgator.net/file/a4697055516763ae29026356795eb94a/Zerotomastery.-.Complete.Next.js.Developer.in.2023.Zero.to.Mastery.part04.rar https://rapidgator.net/file/49a72356730f94c6d418b0a3296d6279/Zerotomastery.-.Complete.Next.js.Developer.in.2023.Zero.to.Mastery.part05.rar https://rapidgator.net/file/fdf4a6884f92fb7e9c289938940171df/Zerotomastery.-.Complete.Next.js.Developer.in.2023.Zero.to.Mastery.part06.rar https://rapidgator.net/file/4499a301b5ae2f0aca360830dbb0aa1b/Zerotomastery.-.Complete.Next.js.Developer.in.2023.Zero.to.Mastery.part07.rar https://rapidgator.net/file/4361f43087229c3d4157aa872fcffffb/Zerotomastery.-.Complete.Next.js.Developer.in.2023.Zero.to.Mastery.part08.rar https://rapidgator.net/file/7c75f8bccd5fe68a80be68db2726e625/Zerotomastery.-.Complete.Next.js.Developer.in.2023.Zero.to.Mastery.part09.rar https://rapidgator.net/file/00175a5350f583c8a66f765ffeb92f8a/Zerotomastery.-.Complete.Next.js.Developer.in.2023.Zero.to.Mastery.part10.rar https://rapidgator.net/file/9378e68b1636a75f7e09d493d78f038b/Zerotomastery.-.Complete.Next.js.Developer.in.2023.Zero.to.Mastery.part11.rar FileFactory

Sorting Algorithms in Python (Animation-Based) Last updated 6/2023 Duration: 4h 34m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.28 GB Genre: eLearning | Language: English Implement and understand sorting algorithms through animations. Master sorting for your next coding interview! What you'll learn Six important comparison based sorting algorithms: Bubble Sort, Selection Sort, Insertion Sort, Quick Sort, Merge Sort and Heap Sort. Relate each line in the code with its purpose in the algorithm. How to implement the covered sorting algorithms in Python. Compare the efficiency of sorting algorithms using the Big O Notation. Requirements Basic programming (Data types, variables, loops, functions, etc.) Basic math for the time complexity analysis (Summations, functions, etc.) To run the code and experiment by yourself, you will need to have Python 3 installed on your device. Description Sorting is a fundamental concept in computer science and is essential for many applications. This course will teach you through detailed animations how the most important sorting algorithms work and how to implement them in Python. By the end of this course, you will have an excellent understanding of the six popular sorting algorithms: Bubble Sort, Selection Sort, Insertion Sort, Quick Sort, Merge Sort and Heap Sort. We will start in the first section with an introduction to sorting, the Big O notation, and a rough overview over the master theorem. For each sorting algorithm, there is a separate section, where we'll delve into at least two videos. The first video serves always as an introduction to the underlying algorithm, covering its core concept, the corresponding Python code, and practical examples. An additional example video is available for Quick Sort , as it can be a challenging algorithm for beginners to understand. By providing a very detailed example, the corresponding video aims to simplify the learning process and help learners gain a better understanding of the connection of Quick Sort and its implementation. In the second video , we conduct a comprehensive analysis of the algorithm's properties. This includes mainly examining its stability, whether it performs in-place sorting, as well as its time complexity under various cases such as best, average, and worst-case scenarios. This course is for anyone who wants to gain a better understanding of sorting algorithms and a bit of Python programming. Join this course today and take the first step in becoming an expert in sorting! Who this course is for: Computer Science Students College Graduates Software engineers More Info TurboBit https://turbobit.net/qkem1kfe3i5q/sorting-algorithms-in-python-animation-based.part1.rar.html https://turbobit.net/vgycuatenbkf/sorting-algorithms-in-python-animation-based.part2.rar.html RapidGator https://rapidgator.net/file/ace3b6aeed6d3ed3e0d8e0451723bd06/sorting-algorithms-in-python-animation-based.part1.rar https://rapidgator.net/file/729033af8b5d3fb83e07e563553beabb/sorting-algorithms-in-python-animation-based.part2.rar FileFactory

AutoCAD: Output .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 52m | 133 MB Instructor: Shaun Bryant AutoCAD 2021 is powerful designing and drafting software used to create precise 2D and 3D designs. In this course, explore learning beyond the basics offered in Learning AutoCAD and AutoCAD 2021 Essential Training. Instructor Shaun Bryant covers how to create output and share drawings, including web and mobile. The course offers training that helps prepare you to use AutoCAD competently in any industry including architecture, engineering, construction, manufacturing, and product design. Topics include: Creating output with AutoCAD The AutoCAD 2021 interface Plotting from the Model and Layout tabs Packaging with eTransmit Batch plotting Outputting to different file formats Autodesk Design review Using the Drawing Compare command Sharing drawings Saving and opening drawings with web and mobile More Info TurboBit https://turbobit.net/o75n4xgtfroq/2020.AutoCAD.-.Output-IVY.rar.html RapidGator https://rapidgator.net/file/134e29525fca40fd5ee6f8b5cedd757d/2020.AutoCAD.-.Output-IVY.rar FileFactory

Learning Bitcoin and Other Cryptocurrencies MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour 16M | 315 MB Genre: eLearning | Language: English Bitcoin is a form of money that only exists online. While it's making headlines around the world, many people don't really understand how bitcoin works or the underlying concepts of cryptocurrency. In this course, Tom Geller demystifies bitcoin, revealing the promise and perils of the new crypto economy. Tom begins by explaining what bitcoin is, how it originated, and how it compares with other cryptocurrencies. Next, he explains how to get started by creating a bitcoin wallet, buying and selling bitcoin, and protecting your transactions. He discusses other top cryptocurrencies-Ripple, Ethereum, and IOTA-and explains how "initial coin offerings" (ICOs) have changed the investment landscape. Finally, he covers bitcoin mining, threats to the bitcoin economy, and how to connect with others in cryptocurrency communities. TurboBit https://turbobit.net/gkmlmmzxmpa7/Lynda.-.Learning.Bitcoin.and.Other.Cryptocurrencies.rar.html RapidGator https://rapidgator.net/file/7967a81791f5df4c0ad56cfcc742a4f8/Lynda.-.Learning.Bitcoin.and.Other.Cryptocurrencies.rar FileFactory

Contributing to an Open Source Project on GitHub .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 48m | 277 MB Instructor: Kamran Ayub In this course, you will learn how to get involved in an open source project by being an effective contributor. You'll understand how to onboard yourself, engage the team, work with others, and walk through real-world scenarios. Where do you begin to get involved in an open source project? In this course, Contributing to an Open Source Project on GitHub, you will learn foundational knowledge of how to be an effective open source contributor. First, you will explore how to find a project that suits your interests. Next, you will discover how to tackle common pull request scenarios in the real world by working with others. Finally, you will learn how to leverage GitHub's social features to keep updated on what you care about most. When you are finished with this course, you will have the skills and knowledge of working with open source projects needed to make high-quality contributions you will be proud of. More Info TurboBit https://turbobit.net/wp38tad6btbh/Contributing.to.an.Open.Source.Project.on.GitHub.rar.html RapidGator https://rapidgator.net/file/d7f34731c150cc1a73cb10e1a92bd376/Contributing.to.an.Open.Source.Project.on.GitHub.rar FileFactory

Asynchronous Programming in JavaScript .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 17m | 186 MB Instructor: Nate Taylor Asynchronous programming is often intimidating, it's not how we normally consider writing code. This course shows how promises and async/await can help simplify async programming. What you'll learn Asynchronous programming is often confusing when first learning JavaScript. In this course, Asynchronous Programming in JavaScript,, you'll gain the ability to handle async programming in JavaScript. First, you'll explore consuming promises. Next, you'll discover creating your own promises. Finally, you'll learn how to use async/await to handle asynchronous programming. When you're finished with this course, you'll have the skills and knowledge of JavaScript promises needed to handle asynchronous code. More Info TurboBit https://turbobit.net/zm0v8e69xolv/Asynchronous.Programming.in.JavaScript.rar.html RapidGator https://rapidgator.net/file/06ade81231561de8bc2374fdec5e4229/Asynchronous.Programming.in.JavaScript.rar FileFactory

Offensive Security Pathway Published 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 29.35 GB | Duration: 46h 35m From Script Kiddy to Offensive Security General - From Absolute Beginner to Skilled Ethical Hacker! What you'll learn Become a skilled ethical hacker Start with zero knowledge and learn all the important things from scratch! Cybersecurity Concepts Job Opportunities Legal & Ethical Hacking Learn about Computers, Networking, the Commandline, Cryptography and Virtualisation Setup a Pentesting Demo Lab Working with Windows & Linux OSINT Techniques Social Engineering Scripting Hacking tools Gaining a Foothold Windows & Linux Enumeration Web Attacks Hacking Active Directory Privilege Escalation Persistence Techniques Lateral Movement Cloud Exploitation Reverse Engineering Anti-Virus Evasion Requirements All you need is a computer and a willingness to learn! This course is truly unique, as we start from the basics and gradually progress to a professional level. If you're ready to invest your valuable time, you'll gain in-depth knowledge and hands-on skills, fully prepared to step into an offensive security role in the real world. Description Jarno Baselier's Offensive Security Pathway is a comprehensive training program (+/- 47 hour) designed for aspiring cybersecurity professionals eager to develop expertise in offensive security. This meticulously structured course takes participants from foundational knowledge to advanced offensive techniques, ensuring a thorough understanding of the cybersecurity landscape. Beginning with no prior knowledge, learners will be introduced to essential offensive security concepts, fundamental cybersecurity principles, and the importance of ethical hacking. They will explore vital topics such as Windows and Linux basics, networking fundamentals, and scripting, laying the groundwork for their journey into offensive security.As participants progress, they will delve deeper into critical skills, including virtualization, network protocols, and command-line interfaces necessary for effective system management. Basic social engineering tactics will prepare them for real-world scenarios where human factors significantly influence security outcomes. The course emphasizes practical application, teaching students to utilize popular hacking tools like Nmap and Metasploit for vulnerability assessment and exploitation. They will learn to identify and exploit vulnerabilities in both Windows and Linux systems, gaining hands-on experience that is essential for a successful career in offensive security.Advanced topics such as web attacks, post-exploitation techniques, and privilege escalation strategies will be covered, with a focus on Active Directory environments and sophisticated network attacks. This approach ensures that learners develop the real-world application and problem-solving skills needed in the field. Critical skills in documentation and reporting, alongside advanced persistence techniques and cloud exploitation, will also be introduced, enabling participants to navigate the complexities of modern cybersecurity challenges effectively.Finally, this course prepares students for industry-recognized certifications such as CEH, OSCP, eCPTX, and PNPT. With an emphasis on advanced evasion techniques, exploit development, and threat hunting, participants will emerge from the program job-ready, equipped to tackle sophisticated cyber threats. By the end of this course, students will possess extensive knowledge, practical experience, and the confidence necessary to pursue rewarding careers in offensive security. Join us to transform your passion for cybersecurity into a successful and fulfilling career!Course Learning path:Start with Zero Knowledge: Begin with foundational concepts in cybersecurity, computer systems, and networking, ensuring that everyone, regardless of their background, can follow along.Understanding the Basics: Dive into essential knowledge of Windows and Linux operating systems, networking fundamentals, and introduction to cybersecurity principles.Grasping Offensive Security: Learn the principles of offensive security, ethical hacking, and legal practices. This prepares you for a career in cybersecurity.Hands-On Lab Experience: Set up and configure a demo lab environment to practice skills in a safe and isolated setting. This practical experience is crucial for applying theoretical knowledge.Basic Hacking Skills: Start using basic hacking tools and techniques to understand vulnerabilities in systems. Gain hands-on experience in vulnerability scanning and exploit development.Web Application Security: Develop skills in identifying and exploiting web vulnerabilities, learning to hack applications and understand the OWASP Top 10 vulnerabilities.Advanced Hacking Techniques: As you progress, dive deeper into specialized hacking techniques, including advanced web attacks, privilege escalation, and exploitation of Active Directory.Persistence & Evasion Techniques: Learn advanced persistence techniques for maintaining access to compromised systems, and study advanced evasion techniques to bypass security mechanisms.Expert-Level Skills: Finally, master advanced topics such as shellcoding, exploit development, reverse engineering, and cloud exploitation, while preparing for professional certifications.Job-Ready Skills: By the end of the course, participants will have extensive knowledge and practical skills, making them well-prepared for a job in offensive security and able to tackle widely recognized certifications. Overview Section 1: Level 1 - Offensive Security Recruit (OSR) Lecture 1 Course Information Lecture 2 1.1 Intro Lecture 3 1.2 Intro + What Can You Expect Lecture 4 1.3 Offensive Security Introduction Lecture 5 1.4 Next Steps in Learning - Computers Lecture 6 1.5 Next Steps in Learning - Windows Lecture 7 1.6 Next Steps in Learning - Linux Lecture 8 1.7 Next Steps in Learning - Networking Lecture 9 1.8 Next Steps in Learning - Cryptography Lecture 10 1.9 Shell Commands and Scripting Lecture 11 1.10 Virtualization and Cloud Basics Lecture 12 1.11 Installing Demo Lab Environment Lecture 13 1.12 Demo Lab Virtual Box Networks Lecture 14 1.13 Setup Kali Linux Machine Lecture 15 1.14 Setup Win10 & Win11 Clients + CommandoVM Lecture 16 1.15 bWAPP Install Lecture 17 1.16 pfSense Install Lecture 18 1.17 Install Metasploitable Lecture 19 1.18 DC01 Installation Lecture 20 1.19 Install IIS - SQL Server Lecture 21 1.20 Install Windows Client Lecture 22 1.21 Outro Section 2: Level 2 - Offensive Security Officer (OSO) Lecture 23 Course Information Lecture 24 2.1 Intro Lecture 25 2.2 Windows Medium Knowledge Lecture 26 2.3 Linux Medium Knowledge Lecture 27 2.4 Networking Medium Knowledge Lecture 28 2.5 Network Packet Analysis Lecture 29 2.6 Basic Scripting in Python Lecture 30 2.7 OSINT Lecture 31 2.8 Social Engineering Lecture 32 2.9 Wrapping Up Section 3: Level 3 - Offensive Security Lieutenant (OSL) Lecture 33 Course Information Lecture 34 3.1 Intro Lecture 35 3.2 Chapter & Hacking Tools Introduction Lecture 36 3.3 Active DNS Enumeration Lecture 37 3.4 Nmap Lecture 38 3.5 NetCat Lecture 39 3.6 RPC Lecture 40 3.7 NetBIOS Lecture 41 3.8 SMB Lecture 42 3.9 FTP Lecture 43 3.10 SNMP Lecture 44 3.11 SMTP Lecture 45 3.12 LolBins Lecture 46 3.13 Shells Lecture 47 3.14 Metasploit and Meterpreter Lecture 48 3.15 Interactive and Non-Interactive Shells Lecture 49 3.16 Hacking Windows VS Hacking Linux Lecture 50 3.17 Password Cracking Lecture 51 3.18 NTLM & Kerberos Lecture 52 3.19 Vulnerability Scanning Lecture 53 3.20 Wrapping Up Section 4: Level 4 - Offensive Security Colonel (OSC) Lecture 54 Course Information Lecture 55 4.1 Intro Lecture 56 4.2 Course Content Lecture 57 4.3 Web Proxy Tools and BurpSuite Lecture 58 4.4 Web Reconnaissance Tools Lecture 59 4.5 cURL Lecture 60 4.6 Basic Web Knowledge Lecture 61 4.7 Basic Website Enumeration Lecture 62 4.8 API Testing Lecture 63 4.9 Cross-Side Request Forgery Lecture 64 4.10 Server-Side Request Forgery Lecture 65 4.11 Cross-Site Scripting Lecture 66 4.12 Directory Traversal Lecture 67 4.13 File Inclusion - Local and Remote Lecture 68 4.14 PHP Wrappers Lecture 69 4.15 File Upload Vulnerabilities Lecture 70 4.16 Command Injection Lecture 71 4.17 SQL Injection Lecture 72 4.18 Active Directory Introduction Lecture 73 4.19 Active DIrectory Enumeration Lecture 74 4.20 Mapping Active Directory - Bloodhound Lecture 75 4.21 AD Password Spraying Lecture 76 4.22 AS-REP Roasting Lecture 77 4.23 Kerberoasting Lecture 78 4.24 DES-Based AS-REP Roasting and Kerberoasting Lecture 79 4.25 Golden & Silver Tickets Lecture 80 4.26 Pass the Hash and OverPass the Hash Lecture 81 4.27 Pass the Ticket Lecture 82 4.28 Relay NTLMv2 Hashes Lecture 83 4.29 TimeRoasting Lecture 84 4.30 Active Directory User Security Permissions Lecture 85 4.31 Unconstrained Delegation Lecture 86 4.32 Constrained Delegation Lecture 87 4.33 Resource-Based Constrained Delegation Lecture 88 4.34 Windows Privilege Escalation - Manual Enumeration Lecture 89 4.35 Windows Privilege Escalation - Automatic Enumeration tools & techniques Lecture 90 4.36 Windows Shadow Copies Lecture 91 4.37 Binary & DLL Hijacking Lecture 92 4.38 Unquoted Service Paths Lecture 93 4.39 Scheduled Tasks Lecture 94 4.40 Windows Exploits Lecture 95 4.41 Abusing Windows Privileges Lecture 96 4.42 Exploiting Microsoft Office Macro's Lecture 97 4.43 Abusing Microsoft Library Files and Shortcuts Lecture 98 4.44 Linux Privilege Escalation - Manual Enumeration Lecture 99 4.45 Linux Automatic Enumeration Lecture 100 4.46 SUID Programs and Linux Capabilities Lecture 101 4.47 Special Sudo Permissions Lecture 102 4.48 Exploiting Writeable Path Lecture 103 4.49 SSH Key Injection Lecture 104 4.50 Abusing SystemCTL Lecture 105 4.51 CRON Job Exploitation Lecture 106 4.52 System Kernel Vulnerabilities Lecture 107 4.53 Wrapping Up Section 5: Level 5 - Offensive Security Major (OSM) Lecture 108 Course Information Lecture 109 5.1 Intro Lecture 110 5.2 Course Content Lecture 111 5.3 Advanced Persistence Techniques - Windows Lecture 112 5.4 Advanced Persistence Techniques - Linux Lecture 113 5.5 Data Exfiltration Techniques Lecture 114 5.6 Pivotting Lecture 115 5.7 Buffer Overflows Lecture 116 5.8 Cloud Exploitation - General Concepts and Azure Concepts Lecture 117 5.9 Cloud Exploitation - Azure Enumeration and gaining credentials Lecture 118 5.10 Cloud Exploitation - Azure Persistence Lecture 119 5.11 Documentation and Reporting Lecture 120 5.12 Wrapping Up Section 6: Level 6 - Offensive Security General (OSG) Lecture 121 Course Information Lecture 122 6.1 Intro Lecture 123 6.2 Course Content Lecture 124 6.3 Active Directory Certificate Services Lecture 125 6.4 Advanced Reverse Engineering - Theory Lecture 126 6.5 Advanced Reverse Engineering - Reversing a simple binary Lecture 127 6.6 Advanced Reverse Engineering - Reversing a stripped binary Lecture 128 6.7 User Account Control Bypassing Techniques Lecture 129 6.8 Advanced Evasion Techniques Lecture 130 6.9 Wireless Hacking Lecture 131 6.10 Wrapping Up Beginners in Cybersecurity: Individuals with little to no prior knowledge in cybersecurity who are eager to start a career in the field of offensive security. This course provides a solid foundation and guides them through the necessary concepts and skills.,Aspiring Ethical Hackers: Individuals who have a keen interest in ethical hacking and wish to develop the skills needed to identify vulnerabilities in systems, applications, and networks, and understand the mindset of an attacker.,IT Professionals: Current IT practitioners looking to expand their skill set by gaining expertise in offensive security practices. This course can help IT support staff, network administrators, system engineers and developers transition into cybersecurity roles.,Security Enthusiasts: Individuals who have a passion for technology and security, and want to deepen their knowledge in offensive strategies to better understand and defend against cyber threats.,Career Changers: Professionals from other fields who are looking to pivot into cybersecurity. This course offers comprehensive training that prepares them for entry-level positions in offensive security.,Students and Recent Graduates: Individuals studying computer science, information technology, or related fields who want to enhance their resumes with practical skills and knowledge in offensive security.,Job Seekers in offensive Cybersecurity: Those actively seeking employment in the cybersecurity industry who need a structured learning path that equips them with the skills necessary to meet job requirements and prepare for certification exams.,By the end of this course, participants will possess extensive knowledge and hands-on experience, making them well-prepared to enter the workforce and pursue recognized certifications in the field of offensive security. TurboBit https://turbobit.net/tbkcqov414hp/Udemy_Offensive_Security_Pathway_2025-3.part01.rar.html https://turbobit.net/bozn6nen2tlm/Udemy_Offensive_Security_Pathway_2025-3.part02.rar.html https://turbobit.net/uob5w6cwi5b8/Udemy_Offensive_Security_Pathway_2025-3.part03.rar.html https://turbobit.net/4p18bp0izlcv/Udemy_Offensive_Security_Pathway_2025-3.part04.rar.html https://turbobit.net/wa36sgajeso2/Udemy_Offensive_Security_Pathway_2025-3.part05.rar.html https://turbobit.net/syfxzvgbp8mq/Udemy_Offensive_Security_Pathway_2025-3.part06.rar.html https://turbobit.net/j0nbxm0zegoy/Udemy_Offensive_Security_Pathway_2025-3.part07.rar.html https://turbobit.net/inethrvmmenx/Udemy_Offensive_Security_Pathway_2025-3.part08.rar.html https://turbobit.net/80wpwt111p8v/Udemy_Offensive_Security_Pathway_2025-3.part09.rar.html https://turbobit.net/d660nqvwf88k/Udemy_Offensive_Security_Pathway_2025-3.part10.rar.html https://turbobit.net/4aitfjkx2d4v/Udemy_Offensive_Security_Pathway_2025-3.part11.rar.html https://turbobit.net/yf5bomfrvmca/Udemy_Offensive_Security_Pathway_2025-3.part12.rar.html https://turbobit.net/f5vlyap6vsng/Udemy_Offensive_Security_Pathway_2025-3.part13.rar.html https://turbobit.net/7sn932m1zlud/Udemy_Offensive_Security_Pathway_2025-3.part14.rar.html https://turbobit.net/qv5jv99unhue/Udemy_Offensive_Security_Pathway_2025-3.part15.rar.html https://turbobit.net/qc866vy70448/Udemy_Offensive_Security_Pathway_2025-3.part16.rar.html https://turbobit.net/g2ygxxjpbf4l/Udemy_Offensive_Security_Pathway_2025-3.part17.rar.html https://turbobit.net/6d6i4vefz99c/Udemy_Offensive_Security_Pathway_2025-3.part18.rar.html https://turbobit.net/cfe9sij5rjxl/Udemy_Offensive_Security_Pathway_2025-3.part19.rar.html https://turbobit.net/e4b1l8ohwp1d/Udemy_Offensive_Security_Pathway_2025-3.part20.rar.html https://turbobit.net/s2f504wu8adm/Udemy_Offensive_Security_Pathway_2025-3.part21.rar.html https://turbobit.net/lcbijbp7zo4d/Udemy_Offensive_Security_Pathway_2025-3.part22.rar.html RapidGator https://rapidgator.net/file/3581e27021c25a6666b7c67a8628abac/Udemy_Offensive_Security_Pathway_2025-3.part01.rar https://rapidgator.net/file/9e683c6c40b1685a424cdf6540722ead/Udemy_Offensive_Security_Pathway_2025-3.part02.rar https://rapidgator.net/file/13462a8fe7be94843215cae1ea419a94/Udemy_Offensive_Security_Pathway_2025-3.part03.rar https://rapidgator.net/file/187203cc95d390e7e42e0a1d6fc398c7/Udemy_Offensive_Security_Pathway_2025-3.part04.rar https://rapidgator.net/file/d25aa1d8888f8a87bf623bc1a6a03fde/Udemy_Offensive_Security_Pathway_2025-3.part05.rar https://rapidgator.net/file/d1f53d5d18da8941b083c38e3dce9e04/Udemy_Offensive_Security_Pathway_2025-3.part06.rar https://rapidgator.net/file/f44beeb707bd95ca805398bae81e9d7a/Udemy_Offensive_Security_Pathway_2025-3.part07.rar https://rapidgator.net/file/ab315812ecc923297fa7899c3de769a3/Udemy_Offensive_Security_Pathway_2025-3.part08.rar https://rapidgator.net/file/dd65c666ae35ec2558db4c4ba3a00c99/Udemy_Offensive_Security_Pathway_2025-3.part09.rar https://rapidgator.net/file/6f3a7f2cff9c148d9241996840ad677c/Udemy_Offensive_Security_Pathway_2025-3.part10.rar https://rapidgator.net/file/78c4ed7d74f7224b61f08d5f801d7b13/Udemy_Offensive_Security_Pathway_2025-3.part11.rar https://rapidgator.net/file/56fedbadaa82eea3af3f3529f13884fa/Udemy_Offensive_Security_Pathway_2025-3.part12.rar https://rapidgator.net/file/204b4f2a4bf3aa182ab1bb8262069187/Udemy_Offensive_Security_Pathway_2025-3.part13.rar https://rapidgator.net/file/fa587287548fc56cb677593805fd7376/Udemy_Offensive_Security_Pathway_2025-3.part14.rar https://rapidgator.net/file/ef768e8fbaeb503bf7bc6a1796dbab99/Udemy_Offensive_Security_Pathway_2025-3.part15.rar https://rapidgator.net/file/0547b6301ffeb0e2df268b7b906ddd88/Udemy_Offensive_Security_Pathway_2025-3.part16.rar https://rapidgator.net/file/48eb1898e876395154a60d821ddc8f12/Udemy_Offensive_Security_Pathway_2025-3.part17.rar https://rapidgator.net/file/999e1e723d93c606d28e7bd07531814c/Udemy_Offensive_Security_Pathway_2025-3.part18.rar https://rapidgator.net/file/dda0c0651daeac9845f965910d147548/Udemy_Offensive_Security_Pathway_2025-3.part19.rar https://rapidgator.net/file/c5eeb8ded523916512330734dbd4c5b4/Udemy_Offensive_Security_Pathway_2025-3.part20.rar https://rapidgator.net/file/bd6238b682f0fd902f6e553c962bf219/Udemy_Offensive_Security_Pathway_2025-3.part21.rar https://rapidgator.net/file/7a2d9dbe05a218fe49f181fd9873d994/Udemy_Offensive_Security_Pathway_2025-3.part22.rar FileFactory

Linux And Unix Command Line For Beginners Published 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 9.62 GB | Duration: 17h 18m This is an Introduction Course to the Linux and Unix Command Line for Beginners What you'll learn This is an Introduction Course to the Linux and Unix Command Line and will provide a solid foundation to work with the Linux and Unix Command Line. In this Course, there will be Presentations and Demonstrations, Quiz Questions and Hands-On Lab Practice Activities. The Learners will be able to check their understanding of the different Topics with the help of Quiz Questions and will also perform hands-on Lab Practice In addition to the Hands-on Lab Practice in this Course, it is suggested that the Learners create their own scenarios and provide solutions for those scenarios. On completing this Course, the Learners will be able to work confidently with the Linux and Unix Command Line. Requirements A Microsoft Windows 10/11 based Computer where Oracle VirtualBox can be installed. A Virtual Machine shall be created using Oracle VirtualBox and in this Virtual Machine, CentOS Stream 9 Operating System can be installed and used for the Practice Exercises. Interest and Curiosity to explore the Linux and Unix Command Line. Prior knowledge of Linux and Unix Command Line is not required since this Course will cover Linux and Unix Command Line Fundamentals from the beginning. Description This Course will provide a solid foundation to work with the Linux and Unix Command Line. In this course, lot of useful commands and features that can be used in the Linux and Unix Command Line are covered for purposes like working with files and directories, searching for files and directories, performing pattern matching in case of text files, using variables, using shell aliases among many other activities. A brief Introduction to Shell Scripting is also provided in this Course.This Course is a very practical course where every command and feature covered is demonstrated along with detailed explanation for every step in the demonstration. The Quiz Questions help in checking the understanding of the different Topics that are covered in this Course. The Lab Practice activities ensure that the Learner will work with the different topics in the form of Hands-on Lab Practice activities and this ensures that the Learner can work confidently with the Linux and Unix Command Line.The knowledge that is gained in this Course will be very useful for the Learner when working with any role like Application Developer, Application Support, System Administrator, Database Administrator, Storage Administrator and so on in the real-time projects in the Linux and Unix Operating System environments. Overview Section 1: Introduction Lecture 1 Instructor Introduction and Course Introduction Lecture 2 Important general information Section 2: The recommended approach for learning Linux/Unix Command Line Lecture 3 The importance of repeated practice with the Linux/Unix Command Line Section 3: How Unix and Linux Systems evolved and what are Unix and Linux Flavours? Lecture 4 Course Material for this Section Lecture 5 Evolution of Unix and Linux Operating Systems Section 4: Setting up Lab Practice Environment to work with the Linux and Unix Command Line Lecture 6 Course Material for setting up the Lab Practice Environment Lecture 7 Overview of Lab Practice Setup Lecture 8 Downloading and Installing Oracle VirtualBox Lecture 9 Downloading the CentOS Stream 9 ISO Image Lecture 10 Installing CentOS Stream 9 in the Virtual Machine created with Oracle VirtualBox Section 5: Introduction to the Linux and Unix Command Line Lecture 11 Course Materials for this Section Lecture 12 Directory Hierarchy in Linux and Unix Systems Lecture 13 Types of Users and Logins in Linux and Unix Systems Lecture 14 Beginning with Linux and Unix Commands Lecture 15 The pwd and cd commands Lecture 16 The id and who commands Lecture 17 The su command Lecture 18 The whoami and logname commands Lecture 19 The date and cal commands Lecture 20 Introduction to the ls command Lecture 21 Using the absolute path and relative path for files and directories Lecture 22 The use of . and .. relative path characters Lecture 23 The mkdir command Lecture 24 The vi Editor Lecture 25 The cat and tac commands Lecture 26 The more command Lecture 27 The man command Lecture 28 The touch command Lecture 29 A detailed look at the ls command Lecture 30 The head and tail commands Lecture 31 The wc command Lecture 32 The cp command Lecture 33 The mv command Lecture 34 The rm and rmdir commands Section 6: Lab Practice for Introduction to the Linux and Unix Command Line Lecture 35 Course Material (for the Lab Practice Activities) for this Section Section 7: Linux and Unix Shell Features Lecture 36 Course Material for this Section Lecture 37 Introduction to the Linux and Unix Shells Lecture 38 The different types of Shells in Linux and Unix Systems Lecture 39 External Commands and Shell Built-in Commands Lecture 40 The bash Shell Lecture 41 The echo command Lecture 42 The Shell metacharacters Lecture 43 Quoting Mechanisms and Escape Characters Lecture 44 The find command Lecture 45 The grep, egrep and fgrep commands and Regular expressions in pattern matching Lecture 46 Redirection in the Shell Lecture 47 The | (pipe) symbol and the tee command Lecture 48 Working with variables in the Linux and Unix Shell Lecture 49 Shell Aliases Section 8: Lab Practice for Linux and Unix Shell Features Lecture 50 Course Material (for the Lab Practice Activities) for this Section Section 9: Importance of being very careful when working with Linux and Unix Command Line Lecture 51 Course Material for this Section Lecture 52 Importance of being very careful when working with Linux and Unix Command Line Section 10: Introduction to Shell Scripting Lecture 53 Course Materials for this Section Lecture 54 Writing and Executing Shell Scripts Lecture 55 Handling Input and Output in Shell Scripts Lecture 56 Conditional Execution of code in Shell Scripts Lecture 57 Using Loop Constructs in Shell Scripts Section 11: Conclusion Lecture 58 Conclusion of the Course Beginners to the Linux and Unix Command Line TurboBit https://turbobit.net/5mhwzu1mc5jv/Udemy_Linux_and_Unix_Command_Line_for_Beginners_2025-3.part01.rar.html https://turbobit.net/4wo34anrx6mm/Udemy_Linux_and_Unix_Command_Line_for_Beginners_2025-3.part02.rar.html https://turbobit.net/uzfj3xewbcxi/Udemy_Linux_and_Unix_Command_Line_for_Beginners_2025-3.part03.rar.html https://turbobit.net/mof5vhpot11g/Udemy_Linux_and_Unix_Command_Line_for_Beginners_2025-3.part04.rar.html https://turbobit.net/spc2d43gfecl/Udemy_Linux_and_Unix_Command_Line_for_Beginners_2025-3.part05.rar.html https://turbobit.net/pwnkkv5v22u3/Udemy_Linux_and_Unix_Command_Line_for_Beginners_2025-3.part06.rar.html https://turbobit.net/aztgi86wy8no/Udemy_Linux_and_Unix_Command_Line_for_Beginners_2025-3.part07.rar.html https://turbobit.net/ohaihr9blni9/Udemy_Linux_and_Unix_Command_Line_for_Beginners_2025-3.part08.rar.html https://turbobit.net/tys56ctw8fki/Udemy_Linux_and_Unix_Command_Line_for_Beginners_2025-3.part09.rar.html https://turbobit.net/ggsk8z5nuvs1/Udemy_Linux_and_Unix_Command_Line_for_Beginners_2025-3.part10.rar.html https://turbobit.net/v7nhvg319m5e/Udemy_Linux_and_Unix_Command_Line_for_Beginners_2025-3.part11.rar.html https://turbobit.net/8weysi0xaz3k/Udemy_Linux_and_Unix_Command_Line_for_Beginners_2025-3.part12.rar.html RapidGator https://rapidgator.net/file/f9c6c3347db02e96a86061cf634e8f16/Udemy_Linux_and_Unix_Command_Line_for_Beginners_2025-3.part01.rar https://rapidgator.net/file/33442992048f8e7a70df5f9f4522a9f2/Udemy_Linux_and_Unix_Command_Line_for_Beginners_2025-3.part02.rar https://rapidgator.net/file/ba2198b0ebe3ca247311ff2ff2578d15/Udemy_Linux_and_Unix_Command_Line_for_Beginners_2025-3.part03.rar https://rapidgator.net/file/2ca1db4af646f5a50dbbfbc3afbe5700/Udemy_Linux_and_Unix_Command_Line_for_Beginners_2025-3.part04.rar https://rapidgator.net/file/a6703fb31fdaff4c6dd039a93bb4f6c4/Udemy_Linux_and_Unix_Command_Line_for_Beginners_2025-3.part05.rar https://rapidgator.net/file/02bf3ea952e3280828b0a002528fdb3e/Udemy_Linux_and_Unix_Command_Line_for_Beginners_2025-3.part06.rar https://rapidgator.net/file/d23e2f736eede894a6fdfa0433ba86db/Udemy_Linux_and_Unix_Command_Line_for_Beginners_2025-3.part07.rar https://rapidgator.net/file/7bf5c86af147ad65dfc85f6aa2e0235f/Udemy_Linux_and_Unix_Command_Line_for_Beginners_2025-3.part08.rar https://rapidgator.net/file/7b262119a03a3a760bb2c2871d46f872/Udemy_Linux_and_Unix_Command_Line_for_Beginners_2025-3.part09.rar https://rapidgator.net/file/a25c8e2a6a4f84a9c5926b54dabafc80/Udemy_Linux_and_Unix_Command_Line_for_Beginners_2025-3.part10.rar https://rapidgator.net/file/4da902711d77a286fdd812e6b31117af/Udemy_Linux_and_Unix_Command_Line_for_Beginners_2025-3.part11.rar https://rapidgator.net/file/a59db5afac41e181b4d9b06112b29a87/Udemy_Linux_and_Unix_Command_Line_for_Beginners_2025-3.part12.rar FileFactory

Databricks: Master Data Engineering, Big Data, Analytics, Ai Published 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 21.70 GB | Duration: 53h 3m Master Databricks for data engineering, analytics, machine learning, and cloud integration with real-world applications. What you'll learn Understand Databricks Architecture - Learn the key components, workspace features, and advantages of Databricks over traditional data platforms. Set Up and Configure Databricks - Create a Databricks workspace, manage clusters, and navigate notebooks for data processing. Perform ETL Operations - Use Apache Spark in Databricks for extracting, transforming, and loading (ETL) large datasets efficiently. Work with Delta Lake - Implement incremental data loading, schema evolution, and time travel features using Delta Lake. Run SQL Queries in Databricks - Utilize Databricks SQL for querying and analyzing structured data, optimizing performance, and creating dashboards. Build and Deploy Machine Learning Models - Use MLflow for model tracking, hyperparameter tuning, and deploying ML models within Databricks. Integrate Databricks with Cloud Services - Connect Databricks with AWS S3, Azure Data Factory, Snowflake, and BI tools like Power BI. Optimize Cluster Performance - Learn auto-scaling, partitioning, bucketing, and performance tuning techniques for handling big data workloads. Implement Real-Time Data Processing - Develop streaming analytics pipelines for IoT and real-time event processing in Databricks. Secure Data in Databricks - Apply role-based access control (RBAC), encryption, and auditing to protect sensitive data. Develop CI/CD Pipelines for Databricks - Automate deployment and testing using GitHub, Azure DevOps, and Databricks REST API. Manage Data Warehousing in Databricks - Design scalable data lakes, data marts, and warehouse architectures for enterprise solutions. Perform Graph and Time Series Analysis - Use GraphFrames for graph processing and time-series forecasting in Databricks. Monitor and Audit Databricks Workloads - Track resource utilization, job performance, and cost optimization strategies for efficient cloud usage. Apply Databricks to Real-World Use Cases - Work on projects like customer segmentation, predictive maintenance, and fraud detection using Databricks. Requirements Enthusiasm and determination to make your mark on the world! Description A warm welcome to the Databricks: Master Data Engineering, Big Data, Analytics, AI course by Uplatz.Databricks is a cloud-based data engineering, analytics, and machine learning platform built on Apache Spark. It provides an integrated environment for processing big data, performing analytics, and deploying machine learning models. Databricks simplifies data engineering and collaboration by offering a unified workspace where data engineers, data scientists, and analysts can work together efficiently. It is available on Microsoft Azure, Amazon Web Services, and Google Cloud, making it a versatile choice for enterprises working with large datasets.Databricks is widely used in industries such as finance, healthcare, retail, and technology for handling large-scale data workloads efficiently. It provides a powerful and scalable solution for organizations looking to leverage big data for analytics, machine learning, and business intelligence.How Databricks WorksDatabricks operates as a fully managed, cloud-based platform that automates and optimizes big data processing. The workflow typically involves:Creating a workspace where users manage notebooks, clusters, and data assets.Configuring clusters using Apache Spark for scalable and distributed computing.Importing and processing data from multiple sources, including data lakes, relational databases, and cloud storage.Running analytics and SQL queries using Databricks SQL for high-performance querying and data visualization.Building and deploying machine learning models using MLflow for tracking experiments, hyperparameter tuning, and deployment.Optimizing performance through auto-scaling, caching, and parallel processing to handle large-scale data workloads efficiently.Integrating with cloud services and APIs such as Azure Data Factory, AWS S3, Power BI, Snowflake, and REST APIs for seamless workflows.Core Features of DatabricksUnified data analytics platform combining data engineering, analytics, and machine learning in a single environment.Optimized runtime for Apache Spark, improving performance for big data workloads.Delta Lake for improved data reliability, versioning, and schema evolution in data lakes.Databricks SQL for running high-performance SQL queries and building interactive dashboards.MLflow for streamlined machine learning development, including model tracking, experimentation, and deployment.Auto-scaling clusters that dynamically allocate resources based on workload requirements.Real-time streaming analytics for processing event-driven data from IoT devices, logs, and real-time applications.Advanced security features, including role-based access control, encryption, and audit logging for compliance.Multi-cloud support with deployment options across AWS, Azure, and Google Cloud.Seamless integration with third-party analytics and business intelligence tools like Power BI, Tableau, and Snowflake.Benefits of Using DatabricksAccelerates data processing by optimizing Spark-based computations for better efficiency.Simplifies data engineering by automating ETL processes, reducing manual intervention.Enhances collaboration by allowing engineers, analysts, and data scientists to work in a shared, cloud-based workspace.Supports AI and machine learning with an integrated framework for training and deploying models at scale.Reduces cloud computing costs through auto-scaling and optimized resource allocation.Ensures data reliability with Delta Lake, enabling ACID transactions and schema enforcement in large datasets.Provides real-time analytics capabilities for fraud detection, IoT applications, and event-driven processing.Offers flexibility with multi-cloud deployment, making it easier to integrate with existing enterprise infrastructure.Meets enterprise security and compliance standards, ensuring data protection and regulatory adherence.Improves business intelligence with Databricks SQL, enabling organizations to gain deeper insights and make data-driven decisions.Databricks - Course Curriculum1. Introduction to DatabricksIntroduction to DatabricksWhat is Databricks? Platform OverviewKey Features of Databricks WorkspaceDatabricks Architecture and ComponentsDatabricks vs Traditional Data Platforms2. Getting Started with DatabricksSetting Up a Databricks WorkspaceDatabricks Notebook BasicsImporting and Organizing Datasets in DatabricksExploring Databricks ClustersDatabricks Community Edition: Features and Limitations3. Data Engineering in DatabricksIntroduction to ETL in DatabricksUsing Apache Spark with DatabricksWorking with Delta Lake in DatabricksIncremental Data Loading Using Delta LakeData Schema Evolution in Databricks4. Data Analysis with DatabricksRunning SQL Queries in DatabricksCreating and Visualizing DashboardsOptimizing Queries in Databricks SQLWorking with Databricks Connect for BI ToolsUsing the Databricks SQL REST API5. Machine Learning & Data ScienceIntroduction to Machine Learning with DatabricksFeature Engineering in DatabricksBuilding ML Models with Databricks MLFlowHyperparameter Tuning in DatabricksDeploying ML Models with Databricks6. Integration and APIsIntegrating Databricks with Azure Data FactoryConnecting Databricks with AWS S3 BucketsDatabricks REST API BasicsConnecting Power BI with DatabricksIntegrating Snowflake with Databricks7. Performance OptimizationUnderstanding Databricks Auto-ScalingCluster Performance Optimization TechniquesPartitioning and Bucketing in DatabricksManaging Metadata with Hive Tables in DatabricksCost Optimization in Databricks8. Security and ComplianceSecuring Data in Databricks Using Role-Based Access Control (RBAC)Setting Up Secure Connections in DatabricksManaging Encryption in DatabricksAuditing and Monitoring in Databricks9. Real-World ApplicationsReal-Time Streaming Analytics with DatabricksData Warehousing Use Cases in DatabricksBuilding Customer Segmentation Models with DatabricksPredictive Maintenance Using DatabricksIoT Data Analysis in Databricks10. Advanced Topics in DatabricksUsing GraphFrames for Graph Processing in DatabricksTime Series Analysis with DatabricksData Lineage Tracking in DatabricksBuilding Custom Libraries for DatabricksCI/CD Pipelines for Databricks Projects11. Closing & Best PracticesBest Practices for Managing Databricks Projects Overview Section 1: Introduction to Databricks Lecture 1 Introduction to Databricks Section 2: Databricks Platform Overview Lecture 2 Databricks Platform Overview Section 3: Key Features of Databricks Workspace Lecture 3 Key Features of Databricks Workspace Section 4: Databricks Architecture and Components Lecture 4 Databricks Architecture and Components Section 5: Databricks vs. Traditional Data Platforms Lecture 5 Databricks vs. Traditional Data Platforms Section 6: Setting up a Databricks Workspace Lecture 6 Setting up a Databricks Workspace Section 7: Databricks Notebook Basics Lecture 7 Databricks Notebook Basics Section 8: Importing and Organizing Datasets in Databricks Lecture 8 Importing and Organizing Datasets in Databricks Section 9: Exploring Databricks Clusters Lecture 9 Exploring Databricks Clusters Section 10: Databricks Community Edition: Features and Limitations Lecture 10 Databricks Community Edition: Features and Limitations Section 11: Introduction to ETL in Databricks Lecture 11 Introduction to ETL in Databricks Section 12: Using Apache Spark with Databricks Lecture 12 Using Apache Spark with Databricks Section 13: Working with Delta Lake in Databricks Lecture 13 Working with Delta Lake in Databricks Section 14: Incremental Data Loading using Delta Lake Lecture 14 Incremental Data Loading using Delta Lake Section 15: Data Schema Evolution in Databricks Lecture 15 Data Schema Evolution in Databricks Section 16: Running SQL Queries in Databricks Lecture 16 Running SQL Queries in Databricks Section 17: Creating and Visualizing Dashboards Lecture 17 Creating and Visualizing Dashboards Section 18: Optimizing Queries in Databricks SQL Lecture 18 Optimizing Queries in Databricks SQL Section 19: Working with Databricks Connect for BI Tools Lecture 19 Working with Databricks Connect for BI Tools Section 20: Using the Databricks SQL REST API Lecture 20 Using the Databricks SQL REST API Section 21: Introduction to Machine Learning with Databricks Lecture 21 Introduction to Machine Learning with Databricks Section 22: Feature Engineering in Databricks Lecture 22 Feature Engineering in Databricks Section 23: Building ML Models with Databricks MLFlow Lecture 23 Building ML Models with Databricks MLFlow Section 24: Hyperparameter Tuning in Databricks Lecture 24 Part 1 - Hyperparameter Tuning in Databricks Lecture 25 Part 2 - Hyperparameter Tuning in Databricks Section 25: Deploying ML Models with Databricks Lecture 26 Deploying ML Models with Databricks Section 26: Integrating Databricks with Azure Data Factory Lecture 27 Integrating Databricks with Azure Data Factory Section 27: Connecting Databricks with AWS S3 Buckets Lecture 28 Connecting Databricks with AWS S3 Buckets Section 28: Databricks REST API Basics Lecture 29 Databricks REST API Basics Section 29: Connecting Power BI with Databricks Lecture 30 Connecting Power BI with Databricks Section 30: Integrating Snowflake with Databricks Lecture 31 Integrating Snowflake with Databricks Section 31: Understanding Databricks Auto-Scaling Lecture 32 Understanding Databricks Auto-Scaling Section 32: Cluster Performance Optimization Techniques Lecture 33 Cluster Performance Optimization Techniques Section 33: Partitioning and Bucketing in Databricks Lecture 34 Part 1 - Partitioning and Bucketing in Databricks Lecture 35 Part 2 - Partitioning and Bucketing in Databricks Section 34: Managing Metadata with Hive Tables in Databricks Lecture 36 Managing Metadata with Hive Tables in Databricks Section 35: Cost Optimization in Databricks Lecture 37 Cost Optimization in Databricks Section 36: Securing Data in Databricks using Role-Based Access Control Lecture 38 Securing Data in Databricks using Role-Based Access Control Section 37: Setting up Secure Connections in Databricks Lecture 39 Setting up Secure Connections in Databricks Section 38: Managing Encryption in Databricks Lecture 40 Managing Encryption in Databricks Section 39: Auditing and Monitoring in Databricks Lecture 41 Auditing and Monitoring in Databricks Section 40: Real-Time Streaming Analytics with Databricks Lecture 42 Real-Time Streaming Analytics with Databricks Section 41: Data Warehousing Use Cases in Databricks Lecture 43 Data Warehousing Use Cases in Databricks Section 42: Building Customer Segmentation Models with Databricks Lecture 44 Building Customer Segmentation Models with Databricks Section 43: Predictive Maintenance using Databricks Lecture 45 Predictive Maintenance using Databricks Section 44: IoT Data Analysis in Databricks Lecture 46 IoT Data Analysis in Databricks Section 45: Using GraphFrames for Graph Processing in Databricks Lecture 47 Using GraphFrames for Graph Processing in Databricks Section 46: Time Series Analysis with Databricks Lecture 48 Time Series Analysis with Databricks Section 47: Data Lineage Techniques in Databricks Lecture 49 Data Lineage Techniques in Databricks Section 48: Building Custom Libraries for Databricks Lecture 50 Building Custom Libraries for Databricks Section 49: CI/CD Pipelines for Databricks Projects Lecture 51 CI/CD Pipelines for Databricks Projects Section 50: Best Practices for Managing Databricks Projects Lecture 52 Best Practices for Managing Databricks Projects Data Engineers - Professionals working with ETL pipelines, data transformation, and big data processing.,Data Scientists - Those looking to use Databricks for machine learning, feature engineering, and predictive analytics.,Big Data Analysts - Individuals working with large-scale datasets, SQL queries, and business intelligence tools.,Cloud Engineers - Professionals integrating Databricks with AWS, Azure, and Google Cloud for scalable data solutions.,Machine Learning Engineers - Those building and deploying ML models using MLflow, hyperparameter tuning, and automation.,Business Intelligence Professionals - Users working with Databricks SQL, Power BI, and dashboarding tools.,Database Administrators - DBAs managing data lakes, Delta Lake, Hive tables, and metadata in Databricks.,Software Engineers - Developers looking to understand Apache Spark, API integrations, and data pipeline automation.,AI & IoT Specialists - Professionals working on real-time analytics, IoT data processing, and AI-driven insights.,Enterprise Architects - Those designing scalable, cost-effective, and high-performance data platforms.,Cloud Data Professionals - Individuals managing data migration, cost optimization, and auto-scaling clusters.,Students & Graduates - Learners interested in big data technologies, cloud computing, and machine learning.,Finance & Healthcare Analysts - Professionals working with large datasets for fraud detection, risk analysis, and patient insights.,Consultants & Freelancers - Independent professionals offering Databricks consulting, cloud data engineering, and analytics solutions.,Technology Leaders & Decision Makers - CTOs, data managers, and tech leads looking to implement Databricks for business transformation. TurboBit https://turbobit.net/zubozpqzqk47/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part01.rar.html https://turbobit.net/z5f2ko09rdwa/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part02.rar.html https://turbobit.net/2pkt955yqdii/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part03.rar.html https://turbobit.net/g0posm6r08ax/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part04.rar.html https://turbobit.net/ln45x0m842ig/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part05.rar.html https://turbobit.net/gqz2qucxsusf/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part06.rar.html https://turbobit.net/kj58a3tbtezd/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part07.rar.html https://turbobit.net/3gnypd8u3z12/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part08.rar.html https://turbobit.net/y32o7ln7tr77/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part09.rar.html https://turbobit.net/wo3qjb4qbvxg/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part10.rar.html https://turbobit.net/ualuv5vwkqhw/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part11.rar.html https://turbobit.net/6d6cojuqtwrb/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part12.rar.html https://turbobit.net/pkki7e7fmnvv/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part13.rar.html https://turbobit.net/f1d1orznmnqg/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part14.rar.html https://turbobit.net/cmeuujqmwpgo/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part15.rar.html https://turbobit.net/y2ihrnxm71p2/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part16.rar.html https://turbobit.net/e380uwq2cc6r/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part17.rar.html https://turbobit.net/f6w9obbe5svt/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part18.rar.html https://turbobit.net/a9hkder2cobf/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part19.rar.html https://turbobit.net/82cm9kvhut92/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part20.rar.html https://turbobit.net/wboa3t57bms5/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part21.rar.html https://turbobit.net/x4tebvj1lvsn/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part22.rar.html https://turbobit.net/c0ejua2vjg8a/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part23.rar.html https://turbobit.net/t51x3ghfb2gg/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part24.rar.html https://turbobit.net/0pucinczsuy9/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part25.rar.html RapidGator https://rapidgator.net/file/8601a0214b6322d7a7fa5c53160aaee5/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part01.rar https://rapidgator.net/file/9357c8e8689164b71b995e6861f2e559/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part02.rar https://rapidgator.net/file/642e844391dbc5e2f2e508ca7ec5c640/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part03.rar https://rapidgator.net/file/8bc7cfb0fffd333548b34b76ca775ca4/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part04.rar https://rapidgator.net/file/bfe102dabee18fa20425e86b9f8f763d/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part05.rar https://rapidgator.net/file/4100d5eab65ce6576eedc38554291c9b/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part06.rar https://rapidgator.net/file/d3fc8f80b97e59ce8e9e38da8db95a14/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part07.rar https://rapidgator.net/file/17442d44df386ba5c24ee947b5747e35/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part08.rar https://rapidgator.net/file/d55e6f5754deca6178c73156d2cb0d91/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part09.rar https://rapidgator.net/file/b0937421da91bd3ca4930d52832b51f8/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part10.rar https://rapidgator.net/file/223e589fdcd9382cff076e6093989ad5/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part11.rar https://rapidgator.net/file/9fcd571aaf63f0c130d1bbff7a889372/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part12.rar https://rapidgator.net/file/ae660cdc69f5d4c58137669cb85a4573/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part13.rar https://rapidgator.net/file/efcb0a91d949b9f543439ffb7be21531/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part14.rar https://rapidgator.net/file/b0e2a69fa1ed21b039228ef28f33335f/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part15.rar https://rapidgator.net/file/6721a68cbc3adc5c4f4d0791f3787a83/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part16.rar https://rapidgator.net/file/775ca09e758e22a6e86709deea66a14f/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part17.rar https://rapidgator.net/file/23c70cea66fad52d0a0529bef29cb612/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part18.rar https://rapidgator.net/file/de28268e9c93b2c69674430895689567/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part19.rar https://rapidgator.net/file/96c54d75914f2995739c395c839b1b70/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part20.rar https://rapidgator.net/file/002dea264753cebea9d7aa4d5fc3ecce/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part21.rar https://rapidgator.net/file/1af48044a216f9cd0006337dd2228b6b/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part22.rar https://rapidgator.net/file/49142a9c427a3bda47ce360d65325ea7/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part23.rar https://rapidgator.net/file/6aae567cffa74733267115c0ac236041/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part24.rar https://rapidgator.net/file/1045cd74b8e612549f435d120316f6e2/Udemy_Databricks_Master_Data_Engineering_Big_Data_Analytics_AI_2025-3.part25.rar FileFactory

Create A Jurassic Coast Environment Concept Art In Photoshop Published 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 9.88 GB | Duration: 4h 46m Create Conceptual Environments for Games, Film and Animation using Photoshop What you'll learn How to create a concept art of a jurassic coast environment using Photoshop Master the Blocking Phase Boost creativity with photobashing and paintover techniques while keeping an organized progress Complete a case study of a full project, step-by-step Requirements Basic Photoshop knowledge Description This Jurassic Coast artwork is a personal artwork inspired by UK historical coast landscape of Lulworth Cove - Stairs Hole.In this tutorial you´ll reveal the main 2D techniques and mindset used in a daily life of a concept artist / matte painter creating photoreal DMPs in Photoshop. With a full voiceover art demo we´ll focus on a loose, unlimited conceptual workflow.We go through the entire process of creation, I begin presenting the photo pack used for the blocking, interact with the recorded process adding some inputs and focusing on the most important points of the journey.You´ll learn my personal art workflow without a specific method and testing different techniques, exploring drawings and painting skills, photobashing, matte painting and composition tips & tricks to achieve a nice result with a few assets and tight timeline.You will get:⠀+6 HS voice over video demo in Photoshop | 1x - 4x speed.10 video clips | mp4 format | English narrationFull recorded process in 1x speed with ambient soundtrack.Concept workflow mindset⠀You will learn in 10 classes:How to design a Jurassic Coast environment using PhotoshopConcept Art & Rough Matte Painting techniquesCreate an appealing illustrated composition using photos and paintoverHow to combine different photosHow to think about your design strategies by sketching and observing your artworkPhotobashing fast photos for conceptual stage of productionFast blending techniques for Concept ArtHow to use advanced "blending techniques" like "blend if"⠀How to quickly combine multiple photos respecting perspective and lighting conditionsHow to add atmosphere and details with painting skills and photo manipulation⠀How to create a good crop and simulate realistic camera effectsHow to improve your composition skills with simple observations and notesPre-requirements:⠀Basic Photoshop knowledge required⠀Extras!4K Wallpaper of the final artworkGet all photo assets used at the projectLayer Breakdown and final PSD used at the creationAll project files provided at introduction class.All images were taken by me and are provided inside "Photo assets" folder. Overview Section 1: Introduction Lecture 1 Initial blocking Section 2: Adapting the Block to the Sketch Design Lecture 2 Adapting the Block to the Sketch Design Lecture 3 Paintover and quick demo of painting techniques Lecture 4 Clone stamp for matte painting Lecture 5 Improving water material Lecture 6 Adding shadows to water reflection Lecture 7 Adding BG and water highlights Section 3: Final Adjustments Lecture 8 Painting Sunlight and Comp review Lecture 9 Final Effects Lecture 10 Ambience and Overall Refinements Artists curious about concept art, photobashing and matte painting techniques TurboBit https://turbobit.net/im5ph4poqr0h/Udemy_Create_a_Jurassic_Coast_Environment_Concept_Art_in_Photoshop_2025-1.part01.rar.html https://turbobit.net/se317ejp22xg/Udemy_Create_a_Jurassic_Coast_Environment_Concept_Art_in_Photoshop_2025-1.part02.rar.html https://turbobit.net/5t1pylc9g22l/Udemy_Create_a_Jurassic_Coast_Environment_Concept_Art_in_Photoshop_2025-1.part03.rar.html https://turbobit.net/v9c8z81yuov8/Udemy_Create_a_Jurassic_Coast_Environment_Concept_Art_in_Photoshop_2025-1.part04.rar.html https://turbobit.net/jhpa72clgorb/Udemy_Create_a_Jurassic_Coast_Environment_Concept_Art_in_Photoshop_2025-1.part05.rar.html https://turbobit.net/6falruina1xn/Udemy_Create_a_Jurassic_Coast_Environment_Concept_Art_in_Photoshop_2025-1.part06.rar.html https://turbobit.net/31oejltj0c8t/Udemy_Create_a_Jurassic_Coast_Environment_Concept_Art_in_Photoshop_2025-1.part07.rar.html https://turbobit.net/kh8pipeupszl/Udemy_Create_a_Jurassic_Coast_Environment_Concept_Art_in_Photoshop_2025-1.part08.rar.html https://turbobit.net/i507sssrszdg/Udemy_Create_a_Jurassic_Coast_Environment_Concept_Art_in_Photoshop_2025-1.part09.rar.html https://turbobit.net/uziwemxnny2n/Udemy_Create_a_Jurassic_Coast_Environment_Concept_Art_in_Photoshop_2025-1.part10.rar.html https://turbobit.net/dknuqo350a3s/Udemy_Create_a_Jurassic_Coast_Environment_Concept_Art_in_Photoshop_2025-1.part11.rar.html RapidGator https://rapidgator.net/file/1923fb57955a12f096f369a8938a9d58/Udemy_Create_a_Jurassic_Coast_Environment_Concept_Art_in_Photoshop_2025-1.part01.rar https://rapidgator.net/file/59aa4f4458acc1bc33aef6c723ae017b/Udemy_Create_a_Jurassic_Coast_Environment_Concept_Art_in_Photoshop_2025-1.part02.rar https://rapidgator.net/file/44ef4091f137ae396df1ff908faf6402/Udemy_Create_a_Jurassic_Coast_Environment_Concept_Art_in_Photoshop_2025-1.part03.rar https://rapidgator.net/file/1620bde35882c4b750698f130a10b5ed/Udemy_Create_a_Jurassic_Coast_Environment_Concept_Art_in_Photoshop_2025-1.part04.rar https://rapidgator.net/file/da499a5c9867d7329537b079809dc080/Udemy_Create_a_Jurassic_Coast_Environment_Concept_Art_in_Photoshop_2025-1.part05.rar https://rapidgator.net/file/88573d1eccf5eb66675369a162ce4c20/Udemy_Create_a_Jurassic_Coast_Environment_Concept_Art_in_Photoshop_2025-1.part06.rar https://rapidgator.net/file/2d4a667b5ded99a5f91f8f0010c86149/Udemy_Create_a_Jurassic_Coast_Environment_Concept_Art_in_Photoshop_2025-1.part07.rar https://rapidgator.net/file/2a2788022054cebc13469f045b69abe1/Udemy_Create_a_Jurassic_Coast_Environment_Concept_Art_in_Photoshop_2025-1.part08.rar https://rapidgator.net/file/3c5df8867f783d0ef155fa4634350186/Udemy_Create_a_Jurassic_Coast_Environment_Concept_Art_in_Photoshop_2025-1.part09.rar https://rapidgator.net/file/4c13c5db5dfc80a7c9f58036570aae90/Udemy_Create_a_Jurassic_Coast_Environment_Concept_Art_in_Photoshop_2025-1.part10.rar https://rapidgator.net/file/abd3821d6b7d4454235f80fc5b6324db/Udemy_Create_a_Jurassic_Coast_Environment_Concept_Art_in_Photoshop_2025-1.part11.rar FileFactory

The complete Vue JS course .MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 44100 Hz, 2ch | 11.9 GB Duration: 25.5 hours | Genre: eLearning | Language: English Learn to build beautiful web apps using VUE js.Includes three practice projects What you'll learn Create applications using javascript and Vue js framework. Requirements HTML, CSS and Javascript Description Do you want to learn the whole process of building your App with Vue ?. This is the course for you. We will start from the very beginning, from "I don't even know how use it..and why should I" to actually understanding how Vue works and make it communicate with other technologies like Firebase and Node js. You will learn all the logic and practice behind Vue in different modules, and as we advance through the course we will be increasing the difficulty. Since I believe that the best way to fully learn is by coding, after each important section we will put everything in practice with some course projects, and after you have a strong base of Vue we will journey into Routes, VUEX and Authentication. We will use ES6.Don't know ES6 ? Don't sweat it, there is a full section where we will show you all the ES6 magic. To sum everything up, you will learn in this course: The very basics of Vue. How to install and the logic behind it. We will build a tiny game just knowing the basics. Once we are done with the basics, we will use Vue like the pro's by adding Node js We will connect our Vue app with technologies like Firebase and we will push our practice project to production. Everybody is using VUEX, so we will learn how to use Vuex. Once we know the hardcore stuff about Vue, Vuex and routes we will put everything in practice by creating a third practice project where we will mix it all. You also get a Full ES6 course, just in case What about the instructor experience ? Well I've been around for 10 years now, built lots of applications for small projects and big companies like Citi,Fox, Disney and a lot more. Today I work as developer for a major company developing applications in React or Angular mostly, but I like to teach in my spare time. How about the target audience? This course is for almost everyone, a little bit of Javascript is required.We will use ES6 but you can learn as we go. If you want to take your coding to the next level, this is the course for you. Who this course is for: Anyone who wants to learn how to use VUE JS TurboBit https://turbobit.net/2l446j5n2x3o/Udemy.-.The.complete.VUE.JS.course.2025-1.part01.rar.html https://turbobit.net/2e5x5s80upem/Udemy.-.The.complete.VUE.JS.course.2025-1.part02.rar.html https://turbobit.net/sw33olvldp9a/Udemy.-.The.complete.VUE.JS.course.2025-1.part03.rar.html https://turbobit.net/atg24tu4vm3d/Udemy.-.The.complete.VUE.JS.course.2025-1.part04.rar.html https://turbobit.net/80s04cqstmbc/Udemy.-.The.complete.VUE.JS.course.2025-1.part05.rar.html https://turbobit.net/wmrc142gp4aj/Udemy.-.The.complete.VUE.JS.course.2025-1.part06.rar.html https://turbobit.net/2knqvj9r5lnr/Udemy.-.The.complete.VUE.JS.course.2025-1.part07.rar.html https://turbobit.net/cl0e49soolmd/Udemy.-.The.complete.VUE.JS.course.2025-1.part08.rar.html https://turbobit.net/w0pmo4om4mdf/Udemy.-.The.complete.VUE.JS.course.2025-1.part09.rar.html https://turbobit.net/vscrpcd3skzg/Udemy.-.The.complete.VUE.JS.course.2025-1.part10.rar.html https://turbobit.net/ofx0tdezf9vi/Udemy.-.The.complete.VUE.JS.course.2025-1.part11.rar.html https://turbobit.net/9ox7yj6zoxl5/Udemy.-.The.complete.VUE.JS.course.2025-1.part12.rar.html https://turbobit.net/jh7upwwe2f2l/Udemy.-.The.complete.VUE.JS.course.2025-1.part13.rar.html https://turbobit.net/ebazihezoz1e/Udemy.-.The.complete.VUE.JS.course.2025-1.part14.rar.html https://turbobit.net/d4qwvf6nwy5e/Udemy.-.The.complete.VUE.JS.course.2025-1.part15.rar.html https://turbobit.net/ke0i80ld9h1p/Udemy.-.The.complete.VUE.JS.course.2025-1.part16.rar.html https://turbobit.net/wtxpr422pm33/Udemy.-.The.complete.VUE.JS.course.2025-1.part17.rar.html https://turbobit.net/cnioqd6cwjsl/Udemy.-.The.complete.VUE.JS.course.2025-1.part18.rar.html RapidGator https://rapidgator.net/file/37a83868e28270aaf5a86c2fe953f657/Udemy.-.The.complete.VUE.JS.course.2025-1.part01.rar https://rapidgator.net/file/12408663a0feb389672f746517c6f7aa/Udemy.-.The.complete.VUE.JS.course.2025-1.part02.rar https://rapidgator.net/file/0c6f7579f4dd2e41b9dc076d6667aa76/Udemy.-.The.complete.VUE.JS.course.2025-1.part03.rar https://rapidgator.net/file/790deec920d3df17308a4c55dd8cc877/Udemy.-.The.complete.VUE.JS.course.2025-1.part04.rar https://rapidgator.net/file/58d53eb29098448e02dcc282eddb2405/Udemy.-.The.complete.VUE.JS.course.2025-1.part05.rar https://rapidgator.net/file/7f676b51e2e3f60ba838942330263003/Udemy.-.The.complete.VUE.JS.course.2025-1.part06.rar https://rapidgator.net/file/b55b09c9e04342a2f7e034ea22dcbcd4/Udemy.-.The.complete.VUE.JS.course.2025-1.part07.rar https://rapidgator.net/file/bda6d8c26b3319278866551a751585c0/Udemy.-.The.complete.VUE.JS.course.2025-1.part08.rar https://rapidgator.net/file/057a70d11f9f8aeb6860fe123e638a49/Udemy.-.The.complete.VUE.JS.course.2025-1.part09.rar https://rapidgator.net/file/c1d53cc2f215041b103bf29cea6a8e5e/Udemy.-.The.complete.VUE.JS.course.2025-1.part10.rar https://rapidgator.net/file/904f3ae7c2d23ed2f39d96edbe675f59/Udemy.-.The.complete.VUE.JS.course.2025-1.part11.rar https://rapidgator.net/file/651ab07fefabb68924d806689fc0bc72/Udemy.-.The.complete.VUE.JS.course.2025-1.part12.rar https://rapidgator.net/file/0cd9e7d2ca65a20225252fe371cd730a/Udemy.-.The.complete.VUE.JS.course.2025-1.part13.rar https://rapidgator.net/file/a7bfca02f8400091c860c4caa31f7dba/Udemy.-.The.complete.VUE.JS.course.2025-1.part14.rar https://rapidgator.net/file/0d00a42a2251164d1edaafe5eab13c1a/Udemy.-.The.complete.VUE.JS.course.2025-1.part15.rar https://rapidgator.net/file/47cdefaa4adaf139b9c494dbb1e75daf/Udemy.-.The.complete.VUE.JS.course.2025-1.part16.rar https://rapidgator.net/file/96f2ec7b1cad5e47636e47ba3b0b9a20/Udemy.-.The.complete.VUE.JS.course.2025-1.part17.rar https://rapidgator.net/file/fade43cb80be5b10e3062b8df87416fe/Udemy.-.The.complete.VUE.JS.course.2025-1.part18.rar FileFactory

Complete Houdini Fx 19.5 Course Beginner To Advanced Published 6/2023 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 5.24 GB | Duration: 8h 9m Dive into the exciting realm of Houdini with our beginner-friendly course What you'll learn Creating procedural FX with Houdini Creating Particle Simulations in Houdini Creating Smoke and Fire Simulations with Houdini Creating Cloth and Soft Bodies simulations with Houdini Requirements No previous houdini knowledge necessary Description Are you fascinated by the world of visual effects and computer-generated imagery? Dive into the exciting realm of Houdini with our beginner-friendly course!In this comprehensive introduction, we will demystify the fundamentals of Houdini, the powerful 3D animation and visual effects software. Whether you're a budding animator, a game developer, or simply curious about the magic behind stunning movie effects, this course is the perfect starting point for you.Throughout the course, you will learn the basic principles of Houdini's node-based workflow, enabling you to create mind-blowing simulations and captivating animations. I will guide you through the intuitive interface, teaching you how to navigate the software efficiently.Starting with the basics, you will discover how to create and manipulate geometry, apply textures and materials, and delve into the world of lighting and shading. You will also explore the art of particle systems, fluid simulations, and rigid body dynamics, gaining hands-on experience in creating realistic effects.I will walk you through practical exercises and projects, giving you a chance to apply your newfound knowledge and develop your skills. By the end of the course, you will have a solid foundation in Houdini and be equipped to unleash your creativity in the world of visual effects.Some of the topics included in this courseCreating procedural crystal growthCopy variationsWorking with attributesCreating particles simulationsCreating sand simulation with pop grainsWorking with VolumesCreating smoke and fire simulationsWorking with ACES color spaceWorking with RBD dynamicsWorking with pack primitivesWorking with RBD constraintsManually activating RBD simulationWorking with Vellum to create Soft Bodies SimulationsCreating water simulation with Flip SolverWorking with SolarisWorking with Karma XPUJoin me now and unlock the limitless possibilities of Houdini! No prior experience required. Get ready to bring your imagination to life! Overview Section 1: Introduction Lecture 1 Course Overview Lecture 2 Houdini User Interface Lecture 3 Reading And Writing Geometry Lecture 4 Creating Houdini New Project Lecture 5 Geometry Preparation Lecture 6 Scattering Points Lecture 7 Copy Variation Lecture 8 Scatter Crystals Lecture 9 Crystal Growth Animation Lecture 10 Configuring ACES in Houdini Lecture 11 Crystal Rendering Section 2: Houdini Particles Lecture 12 Particle System In Houdini Lecture 13 Particles Project Setup Lecture 14 Particle Source Setup Lecture 15 Particle Simulation Lecture 16 Particle Render Setup Section 3: Grains In Houdini Lecture 17 Basic Grains Setup Lecture 18 Sand Simulation Lecture 19 Sand Render Setup Section 4: Pyrotechnics in Houdini Lecture 20 Volume And Voxels Lecture 21 Pyro Solver Basics Lecture 22 Setting Up Smoke Simulation Lecture 23 Smoke Render Setup Lecture 24 Exploring Pyro Solver Lecture 25 Setting Up Campfire Lecture 26 Campfire Embers Simulation Lecture 27 Campfire Render Setup Section 5: RBD Bullet Solver Lecture 28 RBD Bullet Solver Basics Lecture 29 Fracturing Techniques Lecture 30 RBD Constraints Lecture 31 RBD Activation Lecture 32 Setting Up Destruction Simulation Lecture 33 Debris Particles Lecture 34 Rendering RBD Simulation Section 6: Houdini Vellum Solver Lecture 35 Vellum Solver Basics Lecture 36 Vellum Soft Bodies Constraints Lecture 37 Plastic Deformation Lecture 38 Hair Simulation With Vellum Lecture 39 Character Cloth Simulation Section 7: Houdini Flip Fluids Lecture 40 Flip Solver Basics Lecture 41 Continuous Flip Source Lecture 42 Flip Fluids Meshing Section 8: Project Files Lecture 43 Download Project Files Beginner fx artists want to learn houdini TurboBit https://turbobit.net/suzw65ofxl4i/.Complete.Houdini.FX.19.5.Course.Beginner.To.Advanced.part1.rar.html https://turbobit.net/9ywexpkddnoy/.Complete.Houdini.FX.19.5.Course.Beginner.To.Advanced.part2.rar.html https://turbobit.net/2edlbgwep2vb/.Complete.Houdini.FX.19.5.Course.Beginner.To.Advanced.part3.rar.html https://turbobit.net/mxj9fem6dhmy/.Complete.Houdini.FX.19.5.Course.Beginner.To.Advanced.part4.rar.html https://turbobit.net/955j55f9vxh8/.Complete.Houdini.FX.19.5.Course.Beginner.To.Advanced.part5.rar.html https://turbobit.net/0h01k96xrdvh/.Complete.Houdini.FX.19.5.Course.Beginner.To.Advanced.part6.rar.html RapidGator https://rapidgator.net/file/0f0c4a28ffe6fe581512f2edba79b7b6/.Complete.Houdini.FX.19.5.Course.Beginner.To.Advanced.part1.rar https://rapidgator.net/file/2fc1aefefa07176d547b41636795cad8/.Complete.Houdini.FX.19.5.Course.Beginner.To.Advanced.part2.rar https://rapidgator.net/file/8367bc9b4d8f7efccc5a7eb07f5f1562/.Complete.Houdini.FX.19.5.Course.Beginner.To.Advanced.part3.rar https://rapidgator.net/file/1223a97e5888e96baa68a8fd353439b0/.Complete.Houdini.FX.19.5.Course.Beginner.To.Advanced.part4.rar https://rapidgator.net/file/c33066a503750c74f2f64c31cfa037fd/.Complete.Houdini.FX.19.5.Course.Beginner.To.Advanced.part5.rar https://rapidgator.net/file/dc686a779b764b95e79136ca77642ac0/.Complete.Houdini.FX.19.5.Course.Beginner.To.Advanced.part6.rar FileFactory

Advanced Machine Learning Methods And Techniques Published 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 6.05 GB | Duration: 11h 15m Learn Advanced Machine Learning Methods and Techniques for Data Analysis, Data Science, and Machine Learning What you'll learn Knowledge about Advanced Machine Learning methods, techniques, theory, best practices, and tasks Deep hands-on knowledge of Advanced Machine Learning and know how to handle Machine Learning tasks with confidence Advanced ensemble models such as the XGBoost models for prediction and classification Detailed and deep Master knowledge of Regression, Regression analysis, Prediction, Classification, and Supervised Learning Hands-on knowledge of Scikit-learn, Matplotlib, Seaborn, and some other Python libraries Advanced knowledge of A.I. prediction/classification models and automatic model creation Cloud computing: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resources And much more. Requirements The four ways of counting (+-*/) Some Experience with Data Science, or Data Analysis, or Machine Learning Python and preferably Pandas knowledge Everyday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommended Access to a computer with an internet connection The course only uses costless software Walk-you-through installation and setup videos for Cloud computing and Windows 10/11 is included Description Welcome to the course Advanced Machine Learning Methods and Techniques!Machine Learning is expanding and developing on a massive and global scale. Everywhere in society, there is a movement to implement and use Machine Learning Methods and Techniques to develop and optimize all aspects of our lives, businesses, societies, governments, and states.This course will teach you a useful selection of Advanced Machine Learning methods and techniques, which will give you an excellent foundation for Machine Learning jobs and studies. This course has exclusive content that will teach you many new things about Machine Learning methods and techniques.This is a two-in-one master class video course which will teach you to advanced Regression, Prediction, and Classification.You will learn advanced Regression, Regression analysis, Prediction and supervised learning. This course will teach you to use advanced feedforward neural networks and Decision tree regression ensemble models such as the XGBoost regression model.You will learn advanced Classification and supervised learning. You will learn to use advanced feedforward neural networks and Decision tree classifier ensembles such as the XGBoost Classifier model.You will learnKnowledge about Advanced Machine Learning methods, techniques, theory, best practices, and tasksDeep hands-on knowledge of Advanced Machine Learning and know how to handle Machine Learning tasks with confidenceAdvanced ensemble models such as the XGBoost models for prediction and classificationDetailed and deep Master knowledge of Regression, Regression analysis, Prediction, Classification, and Supervised LearningHands-on knowledge of Scikit-learn, Matplotlib, Seaborn, and some other Python librariesAdvanced knowledge of A.I. prediction/classification models and automatic model creationCloud computing: Use the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud computing resourcesOption: To use the Anaconda Distribution (for Windows, Mac, Linux)Option: Use Python environment fundamentals with the Conda package management system and command line installing/updating of libraries and packages - golden nuggets to improve your quality of work lifeAnd much more.This course includesan easy-to-follow guide for using the Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). You may learn to use Cloud Computing resources in this coursean easy-to-follow optional guide for downloading, installing, and setting up the Anaconda Distribution, which makes anyone able to install a Python Data Science environment useful for this course or for any Machine Learning or coding taska large collection of unique content, and this course will teach you many new things that only can be learned from this course on UdemyA compact course structure built on a proven and professional framework for learning.This course is an excellent way to learn advanced Regression, Prediction, and Classification! These are the most important and useful tools for modeling, AI, and forecasting.Is this course for you?This course is an excellent choice forAnyone who wants to learn Advanced Machine Learning Methods and TechniquesAnyone who wants to study at the University level and want to learn Advanced Machine Learning skills that they will have use for in their entire career!This course is the course we ourselves would want to be able to enroll in if we could time-travel and become new students. In our opinion, this course is the best course to learn Advanced Regression, Prediction, and classification.Course requirementsThe four ways of counting (+-*/)Some Experience with Data Science, Data Analysis, or Machine LearningPython and preferably Pandas knowledgeEveryday experience using a computer with either Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommendedAccess to a computer with an internet connectionThe course only uses costless softwareWalk-you-through installation and setup videos for Cloud computing and Windows 10/11 is includedEnroll now to receive 10+ hours of video tutorials with manually edited English captions, and a certificate of completion after completing the course! Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Setup of the Anaconda Cloud Notebook Lecture 3 Download and installation of the Anaconda Distribution (optional) Lecture 4 The Conda Package Management System (optional) Section 2: Advanced Models for Regression and Supervised Learning Lecture 5 Overview Lecture 6 Artificial Neural Networks, Feedforward Networks, and the Multi-Layer Perceptron Lecture 7 Feedforward Multi-Layer Perceptrons for Prediction Lecture 8 Decision Tree Regression model Lecture 9 Random Forest Regression Lecture 10 Voting Regression Lecture 11 eXtreme Gradient Boosting Regression (XGBoost) Section 3: Advanced Models for Classification and Supervised Learning Lecture 12 Overview Lecture 13 Artificial Neural Networks, Feedforward Networks, and the Multi-Layer Perceptron Lecture 14 Feedforward Multi-Layer Perceptrons for Classification Lecture 15 Decision Tree Classifier Lecture 16 Random Forest Classifier Lecture 17 Voting Classifier Lecture 18 eXtreme Gradient Boosting Classifier (XGBoost) Anyone who wants to learn Advanced Machine Learning Methods and Techniques,Anyone who wants to study at the University level and want to learn Advanced Machine Learning skills that they will have use for in their entire career! TurboBit https://turbobit.net/bclh4m5uv73z/Udemy_Advanced_Machine_Learning_Methods_and_Techniques_2025-3.part1.rar.html https://turbobit.net/zl5r0afk9xlw/Udemy_Advanced_Machine_Learning_Methods_and_Techniques_2025-3.part2.rar.html https://turbobit.net/z5g0drhxu68j/Udemy_Advanced_Machine_Learning_Methods_and_Techniques_2025-3.part3.rar.html https://turbobit.net/hvxdz1852gl5/Udemy_Advanced_Machine_Learning_Methods_and_Techniques_2025-3.part4.rar.html https://turbobit.net/zvdbc2rw9bu5/Udemy_Advanced_Machine_Learning_Methods_and_Techniques_2025-3.part5.rar.html RapidGator https://rapidgator.net/file/eb9b6bcf267bc3bcd0661ef07a0f38e0/Udemy_Advanced_Machine_Learning_Methods_and_Techniques_2025-3.part1.rar https://rapidgator.net/file/258677016d01c7ed98ff2f2c3c80c714/Udemy_Advanced_Machine_Learning_Methods_and_Techniques_2025-3.part2.rar https://rapidgator.net/file/a48573eeb5cb840fff97bd66ff24cae0/Udemy_Advanced_Machine_Learning_Methods_and_Techniques_2025-3.part3.rar https://rapidgator.net/file/51645146ae65bbd5c3f647bae9609b3d/Udemy_Advanced_Machine_Learning_Methods_and_Techniques_2025-3.part4.rar https://rapidgator.net/file/8e7689fab99cee1b0d72cf4446ecef62/Udemy_Advanced_Machine_Learning_Methods_and_Techniques_2025-3.part5.rar FileFactory

8051 Microcontroller Led Movable Display With Assembly Lang. Published 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.55 GB | Duration: 3h 28m Build and Simulate a 48x8 LED Movable Display Using 8051 Microcontroller and Assembly Language Programming from scratch. What you'll learn Sourcing Components & Setting Up Your 48x8 LED Matrix Display Understand the fundamentals of the 8051 microcontroller and how it drives an LED display with assembly language code Organize and save your work systematically within MIDE-8051 and Proteus environments. Learn how to select and assemble components like NOT gates, 74154 decoders, and the LED matrix display. Master circuit configurations by integrating NOT gates with decoders for smooth data flow and control. Connect the microcontroller to the matrix display and decoders, enabling precise control of LED columns and rows. Requirements Basic understanding of electronics (helpful but not required) A PC with MIDE-8051 and Proteus (installation steps included in the course) Passion for learning hardware and assembly language programming! Description Bring your hardware embedded system skills to life by creating an LED Movable Display using the powerful 8051 Microcontroller and Assembly Language programming. This hands-on course walks you through the entire process of designing, coding, and simulating a 48x8 LED matrix display that scrolls, animates, and displays customized messages.Whether you're an engineering student, hobbyist, or a hardware enthusiast, this course will equip you with the practical skills needed to design a real-world scrolling LED display system, write assembly language programs, and simulate your project using industry-standard tools like MIDE-8051 and Proteus.Introduction to 8051 Microcontroller LED Movable Display with Assembly LanguageUnderstand the fundamentals of the 8051 microcontroller and how it drives an LED display with assembly language code.How To Save and Manage Your Project FilesOrganize and save your work systematically within MIDE-8051 and Proteus environments.Sourcing Components & Setting Up Your 48x8 LED Matrix DisplayLearn how to select and assemble components like NOT gates, 74154 decoders, and the LED matrix display.Connecting NOT Gates and Cascading 74154 DecodersMaster circuit configurations by integrating NOT gates with decoders for smooth data flow and control.Interfacing 8051 Microcontroller with the Matrix DisplayConnect the microcontroller to the matrix display and decoders, enabling precise control of LED columns and rows.Adding Buffers & Improving Circuit StabilityEnhance your circuit reliability by incorporating buffers for signal conditioning.Programming the LED Display with Assembly Language:Installing MIDE-8051 & Starting a New ProjectSet up your coding environment and organize your project files efficiently.Program Initialization & Creating SubroutinesLearn how to structure your assembly language code with modular subroutines for clarity and reuse.Encoding & Displaying Characters (Alphabets, Numbers, Symbols)Create custom characters, store them in microcontroller memory, and display them on the LED matrix screen.Animating Text and Graphics on the DisplayBring your messages to life by programming scrolling text, shifting characters, and adding animation effects.Creating Delays, Blinking Effects, and Repeating ProgramsControl the timing and speed of your displays with delay loops and repeat cycles.Exciting Animations You will Add into Matrix Display Project You'll Build:Welcome AnimationHello AnimationMerry AnimationThanks Animation2017 Year Display AnimationBlinking and Scrolling Text AnimationsCustom Animations and Visual Effects for ViewersYou'll learn how to make your display readable, smooth, and visually appealing to engage your audience.By the end of this course, you will have fully simulated and tested your scrolling LED display project in Proteus, ready to bring your design to real hardware!By the End of This Course, You Will Be Able To:Design and build a 48x8 LED movable displayProgram the 8051 microcontroller in assembly languageDisplay scrolling texts, numbers, and custom animationsSimulate and validate your project with Proteus softwareBring your LED display projects to life for real-world applications!Join Now and start building your LED Movable Display with the 8051 Microcontroller today! Overview Section 1: Hardware Development of LED Matrix Display on Proteus using 8051 Microcontroller Lecture 1 Required project Task Lecture 2 How To Save Our Project Lecture 3 How To Source For Components Lecture 4 How To Set Up 48x8 Matrix LED Display screen Lecture 5 How To Connect Not Gates To Matrix Led Display Lecture 6 How To Connect 74154 Decoders To Not Gates Lecture 7 How To Cascade 74154 Decoders Lecture 8 How To Connect Microcontroller To The Decoders Lecture 9 How To Enable The Decoders With Not Gates Lecture 10 How To Interconnect The Matrix Led Displays Lecture 11 How To Connect Our Microcontroller To Matrix Led Display Lecture 12 Review Of Our Project Circuitry Lecture 13 How To Add A Buffer To The Circuitry Section 2: Installation of MIDE IDE for 8051 Programming in Assembly Language Lecture 14 Installation Of MIDE-8051 Lecture 15 How To Save Our New Project In MIDE-8051 Lecture 16 Program Initialization And Creating Subroutines Section 3: Character Encoding for LED Text Display in Microcontroller Memory Lecture 17 How To Encode Characters (alphabets, Numbers and Symbols) Part 1 Lecture 18 How To Encode Characters(alphabets, Numbers and Symbols) Part 2 Lecture 19 How To Display Characters On The Screen Lecture 20 How To Store Characters Inside Microcontrollers And Display Them On The Screen Lecture 21 How To Create Your Own Favourite Animations On The Screen (part 1) Lecture 22 How To Create Your Own Favourite Animations On The Screen (part 2) Section 4: Assembly Language Development for 8051 Microcontroller LED Text Display Lecture 23 Start Writing Subroutines Lecture 24 Displaying Characters On The Screen Lecture 25 Displaying Effects On The Screen Lecture 26 How Create A Delay Time For Characters Lecture 27 How To Clear And Repeat Program Lecture 28 How To Shift Our Characters On The Screen Lecture 29 How To Scroll Characters On The Screen Lecture 30 How To Make Characters On The Screen Visible To Our Viewers (part1) Lecture 31 How To Make Characters On The Screen Visible To Our Viewers (part 2) Lecture 32 How To Make Characters On The Screen Readable By Our Viewers Lecture 33 Storing All The Characters We Created Into The Microcontroller Memory Section 5: How to Create Animations for LED Text Display in 8051 Microcontroller Lecture 34 How To Create Welcome Animation On The Screen Lecture 35 How To Create Hello Animation On The Screen Lecture 36 How To Create Merry Animation On The Screen Lecture 37 How To Blink Animation On The Screen Lecture 38 How To Display 2017 Animation On The Screen Lecture 39 How To Create Thanks Animation On The Screen Section 6: Code Review and Project Simulation Lecture 40 Reviewing Our Code Lecture 41 Complete Simulation Of Our Project Section 7: Project Simulation in Proteus 6 - Perfect for Simulation of LED Text Display Lecture 42 Important Notes Before Proteus 6 Installation Lecture 43 Running Your Project On Proteus 6 Engineering students and hobbyists interested in microcontroller-based LED display projects,Embedded systems enthusiasts looking to learn assembly language programming,Anyone wanting to design and simulate real-world LED matrix displays for signs, banners, or educational purposes TurboBit https://turbobit.net/pmeb8nw9thtk/Udemy_8051_Microcontroller_LED_Movable_Display_with_Assembly_Lang_2025-1.part1.rar.html https://turbobit.net/zk8b9iqepr1n/Udemy_8051_Microcontroller_LED_Movable_Display_with_Assembly_Lang_2025-1.part2.rar.html RapidGator https://rapidgator.net/file/7ce0992b5acc0c33fbbfa9c47884060c/Udemy_8051_Microcontroller_LED_Movable_Display_with_Assembly_Lang_2025-1.part1.rar https://rapidgator.net/file/7c038244223776e8bc94d24bc8d46c77/Udemy_8051_Microcontroller_LED_Movable_Display_with_Assembly_Lang_2025-1.part2.rar FileFactory

The Ultimate Unofficial Udemy Online Course Creation Guide WEBRip | English | MP4 | 1280 x 720 | AVC ~1091 Kbps | 30 fps AAC | 128 Kbps | 44.1 KHz | 2 channels | ~4 hours | 1.74 GB Genre: eLearning Video / Self Improvement What You Get: Choose the best topic for you to teach, and understand how to beat the competition Create a marketing plan to launch and continually promote your course Optimize your course landing page for SEO Create talking head videos with clear audio and crisp video Create visually interesting screencast videos Create a launch plan to maximize the impact of your new course release License your course to other platforms to generate more revenue Transition responsibly to creating courses on a full-time basis Description Here's the truth: the vast majority of instructors on Udemy aren't having the impact they desired. But many instructors are successfully making a lucrative, full-time career from producing online courses on the Udemy platform. You can learn the strategies that will set you apart as an instructor, and position you for that kind of success. Frank Kane has been producing online courses on Udemy since 2015, and has sold over 400,000 paid course enrollments earning over two million dollars. In this course, Frank shares all the stuff he's learned the hard way during that time about what works with course creation, and what doesn't. You'll learn: How to choose the course topic that's best for you, and most likely to succeed Audo/visual tips for producing clear audio and crisp video for different budget levels SEO tips to make sure students find your course when they're looking for your topic How "flywheel effects" should inform your course marketing and course creation strategy How to construct a pre-launch checklist to make your course launch as strong as possible Effective course marketing strategies - as well as strategies to avoid Maintaining your course to keep it selling for years How to vet other platforms that want to host your content Techniques for discouraging piracy of your course How to get more reviews for your courses A plan for making Udemy your full-time job, in a responsible manner This course is intended as a supplement to Udemy's Teach Hub and resources in your course creation dashboard - it's all the stuff most instructors only learn through experience. Avoid common mistakes in your strategy as an online instructor, and apply proven best practices used by Udemy's top instructors right from the start. Any instructor on the Udemy platform who wants to make more of an impact will benefit from this course. It's packed with tips, tricks, and lessons learned that can make the difference between a course that flops, and a course that changes the world. Who this course is for: Udemy instructors who want to maximize their odds for success, both financial and in terms of impact. also You can find other my useful: General Complete name : 1. Screencasts Pt. 1.mp4 Format : MPEG-4 Format profile : Base Media Codec ID : isom (isom/iso2/avc1/mp41) File size : 63.4 MiB Duration : 7 min 13 s Overall bit rate : 1 227 kb/s Writing application : Lavf58.12.100 IsTruncated : Yes Video ID : 1 Format : AVC Format/Info : Advanced Video Codec Format profile : [email protected] Format settings : CABAC / 4 Ref Frames Format settings, CABAC : Yes Format settings, RefFrames : 4 frames Format settings, GOP : M=4, N=60 Codec ID : avc1 Codec ID/Info : Advanced Video Coding Duration : 7 min 13 s Bit rate : 1 091 kb/s Nominal bit rate : 3 000 kb/s Width : 1 280 pixels Height : 720 pixels Display aspect ratio : 16:9 Frame rate mode : Constant Frame rate : 30.000 FPS Color space : YUV Chroma subsampling : 4:2:0 Bit depth : 8 bits Scan type : Progressive Bits/(Pixel*Frame) : 0.039 Stream size : 56.3 MiB (89%) Writing library : x264 core 148 Encoding settings : cabac=1 / ref=3 / deblock=1:-1:-1 / analyse=0x1:0x111 / me=umh / subme=6 / psy=1 / psy_rd=1.00:0.15 / mixed_ref=1 / me_range=16 / chroma_me=1 / trellis=1 / 8x8dct=0 / cqm=0 / deadzone=21,11 / fast_pskip=1 / chroma_qp_offset=-3 / threads=22 / lookahead_threads=3 / sliced_threads=0 / nr=0 / decimate=1 / interlaced=0 / bluray_compat=0 / constrained_intra=0 / bframes=3 / b_pyramid=2 / b_adapt=1 / b_bias=0 / direct=1 / weightb=1 / open_gop=0 / weightp=2 / keyint=60 / keyint_min=6 / scenecut=0 / intra_refresh=0 / rc_lookahead=60 / rc=cbr / mbtree=1 / bitrate=3000 / ratetol=1.0 / qcomp=0.60 / qpmin=0 / qpmax=69 / qpstep=4 / vbv_maxrate=3000 / vbv_bufsize=6000 / nal_hrd=none / filler=0 / ip_ratio=1.40 / aq=1:1.00 Audio ID : 2 Format : AAC Format/Info : Advanced Audio Codec Format profile : LC Codec ID : mp4a-40-2 Duration : 7 min 13 s Bit rate mode : Constant Bit rate : 128 kb/s Channel(s) : 2 channels Channel positions : Front: L R Sampling rate : 44.1 kHz Frame rate : 43.066 FPS (1024 SPF) Compression mode : Lossy Stream size : 6.62 MiB (10%) Default : Yes Alternate group : 1 Screenshots Exclusive eLearning Videos ← add to bookmarks TurboBit https://turbobit.net/t8feexilaq82/Udemy.-.The.Ultimate.Unofficial.Udemy.Online.Course.Creation.Guide.2024-8.rar.html RapidGator https://rapidgator.net/file/88d07c3a79198c9bb8e56aa90afa202a/Udemy.-.The.Ultimate.Unofficial.Udemy.Online.Course.Creation.Guide.2024-8.rar FileFactory

Docker Certified Associate Exam Prep Course Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 2.64 GB | Duration: 9h 49m Learn Docker, Kubernetes, and MKE (UCP) with Hands-on demos, Mock tests and Multi-response practice questions! What you'll learn Prepare for Docker Certified Associate Exam Learn Docker and Kubernetes from Scratch Explore Mirantis Kubernetes Engine (Universal Control Plane) and Mirantis Secure Registry (Docker Trusted Registry) Exercise Docker and Kubernetes Command Lines Understand the internal working of Docker and its interaction with Linux for different purposes Practice Multi-response mock questions for DCA Exam Containerize your web applications with Dockerfiles, Compose files, and Kubernetes Manifests Orchestrate your containers with Docker Swarm and Kubernetes Manage networking and storage of your app containers with Docker and Kubernetes Description Docker Certified Associate: The ultimate validation for your Containerization skills with Docker Container creating a revolution in the IT industry is not news anymore. Their simplicity, scalability, and cost-effectiveness have enabled uncompromised performance with consumer-friendly revenue models for companies like Google, Paypal, Netflix, Adidas, IBM, Spotify, The New York Times and the list goes on. The migration of the web application market to Containers is far from over. After Covid-19, more and businesses are going online than ever before, and many of them are choosing to be container-native! All of this has increased the demand for professionals with Containerization and Orchestration skills and Docker is the best Containerization tool in the market that supports Open Container Initiative while providing a unique and intuitive way to write Containerized apps. Proficient Docker and Kubernetes users can easily grab 6 digit USD Jobs from ANY part of the world and the best way to prove your skills is clearing the DCA (Docker Certified Associate) exam because: It is the only IT certification covering the entire containerization skill spectrum from writing Dockerfiles to managing Kubernetes Clusters, It has a unique exam pattern involving a mix of Multiple Choice and Multiple Response questions, Multiple Response questions require candidates to provide the correct response not only for the right answers but also for the wrong ones, This means DCA Certificate holders are likely to be more confident and knowledgeable than others with their theoretical concepts and practical knowledge. DCA Exam Prep Course Special exams require special preparation and this course is exactly what you need. This course is a meticulous mix of theoretical explanations and practical demonstrations. It has been assisted by our in-house DCA expert, Dhwani Sametriya. Her courses have taught Docker to over 70000 students and she has also authored a book on Containers! The course covers the entire syllabus of DCA laid out by Mirantis and explains each aspect with precision and patience. With continuous input for exam preparation and Mock Exams, you will never lose sight of your goal. Here is a broad introduction to what each section will cover. Section 1: In this introductory section, you will get your container basics, understand details and requirements about the DCA exam and will also prepare your practice environment on Cloud. Section 2: You will understand the Docker Architecture, Install Docker on Linux, Windows, and Mac, Visit Docker Hub. and Run your first Container. Section 3: You will learn how to write Dockerfiles and build Docker Images. You will focus deeply on different Dockerfile instructions and their uses. Section 4: You will learn how to build Docker Images from various build contexts (sources), managing Docker Images including listing, removing, and pruning, Image layers, and detailed Image inspection. Section 5: You will understand and perform the entire life cycle of a docker container with the docker command line and work on a lot of container operations. Section 6: You will learn docker's container Networking Model, network drivers, docker Networks, and their types. You will also learn how to isolate containers from a network stack or change their DNS configuration. Section 7: You will learn how containers are arranged in a filesystem, docker storage drivers like volumes, bind mounts and temp fs, third party driver plugins, data sharing between containers and more. Section 8: You will learn the basics of container orchestration with Docker Swarm, understand the Swarm architecture, set up your swarm Cluster, deploy a scalable containerized application using swarm service, work with overlay networks, and perform rolling updates. Section 9: You will learn Swarm's leader election mechanism with Raft consensus and what is a quorum, high availability, disaster management (recovery), and cluster locking. Section 10: You will learn about Docker Compose YAML files and Docker Stack. Section 11: You will set up your own Mirantis Kubernetes Engine (MKE) Launchpad (formerly Docker Enterprise Edition UCP) cluster, work on MKE Dashboard, Operate Swarm on MKE by deploying scalable services without using the command line. You will also learn about advanced orchestration topics like Role-Based Access Control, managing TLS, and Swarm Collections. Section 12: You will understand Kubernetes architecture and components, pods, and other basics of Kubernetes (K8s). You will also learn how to write YAML manifests for K8s objects. All of this is performed on the MKE launchpad cluster. Section 13: You will learn how to work with K8s workload objects like ReplicaSets, Deployments, and Jobs, Networking objects like Cluster IP and Node Port Services, Storage objects like Persistent and Projected Volumes, Orchestration mechanisms like labels, selectors, and node affinity and so on. Section 14: You will explore DTR and Docker Content Trust. You can look at the course curriculum for detailed content coverage, do enjoy the preview videos as well! On top of all of this, there are 3 hands-on Assignments with complete solutions, 10+ Quizzes, and 2 Mock Exams to solidify your preparation. We have been teaching Docker and Kubernetes to students for years and this course is designed with the essence of what they love about our teaching. Check out what our students have to say about us! Bhavana Verma "Awesome course! One of the best course content and delivery, of course, is very effective." Peter S "Great and easy explanation of docker. Wonderful." Muhammad Asad Javed "This course was so good as it clears my concepts and questions about containers and docker." Diego MSDN "Excelente curso para adicionar contenido a mis conocimientos previos." Brandon Doyle "Great, fast-paced, doesn't make me wait with him to experience the output of blocked commands or operations; very, very clear in his descriptions." Krish Lalwani "I liked the course a lot because of the Demo videos right after the theory. Demos were easy to replicate too." Muskan Sharma "The examples given were very good. They helped me understand so many things that I wasn't able to while going through other documentation." We are extremely grateful for their kind words and appreciation. With that said, we can't wait to see you in the class! Happy Learning and I hope you have a fantastic day! Who this course is for: IT professionals aiming to become Docker Certified Associates Beginner DevOps Engineers, System Admins, or Software Developers interested in Docker and Containers Computer Science and IT Students aiming for DevOps jobs Managers and start-up owners looking to reduce their IT infrastructure costs Current Docker users looking to expand their knowledge and practice their skills TurboBit https://turbobit.net/lslfg73knzza/Udemy.-.Docker.Certified.Associate.2023.2024-12.part1.rar.html https://turbobit.net/sd2iqottk4rn/Udemy.-.Docker.Certified.Associate.2023.2024-12.part2.rar.html https://turbobit.net/5300nlnvye0c/Udemy.-.Docker.Certified.Associate.2023.2024-12.part3.rar.html https://turbobit.net/yktug6u8bj05/Udemy.-.Docker.Certified.Associate.2023.2024-12.part4.rar.html https://turbobit.net/m26l6odz2s30/Udemy.-.Docker.Certified.Associate.2023.2024-12.part5.rar.html https://turbobit.net/ggoh1t8wp66a/Udemy.-.Docker.Certified.Associate.2023.2024-12.part6.rar.html https://turbobit.net/6x82rvlg4bki/Udemy.-.Docker.Certified.Associate.2023.2024-12.part7.rar.html RapidGator https://rapidgator.net/file/4ac20e1c0618b2f78096f3701c0c65eb/Udemy.-.Docker.Certified.Associate.2023.2024-12.part1.rar https://rapidgator.net/file/d597784824b67e0f8f3f0edc359a90e5/Udemy.-.Docker.Certified.Associate.2023.2024-12.part2.rar https://rapidgator.net/file/884c8567e767014dae84cf0ffa81cad3/Udemy.-.Docker.Certified.Associate.2023.2024-12.part3.rar https://rapidgator.net/file/75ef872b164000f46168dc50885ee6e3/Udemy.-.Docker.Certified.Associate.2023.2024-12.part4.rar https://rapidgator.net/file/bf4e9d9c7a9b66ca6417fa6f282d83be/Udemy.-.Docker.Certified.Associate.2023.2024-12.part5.rar https://rapidgator.net/file/88326faa23a37aa66c3f156e3565c7f7/Udemy.-.Docker.Certified.Associate.2023.2024-12.part6.rar https://rapidgator.net/file/a6d881bd4193f4f89ebfc0b303db70c3/Udemy.-.Docker.Certified.Associate.2023.2024-12.part7.rar FileFactory

Pyrevit For Revit & Bim: Automate And Optimize Your Workflow Published 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 883.37 MB | Duration: 1h 2m Manage Views, Sheets & Tags in Revit + Detect & Fix Errors in Revit + Revit Custom Python Scripts + Revit Automation What you'll learn PyRevit - Learning PyRevit for Revit automation Revit Automation - Automating tasks to boost efficiency BIM Workflow Optimization - Streamlining BIM processes Revit Productivity Tools - Tools to enhance Revit workflows Revit Scripting with PyRevit - Automating Revit with Python Advanced Revit Plugins - Extending Revit with powerful plugins Comparing Revit Dynamo vs PyRevit BIM Project Efficiency - Improving BIM speed and accuracy Revit Customization - Adapting Revit to specific needs Python for Revit - Enhancing Revit with Python scripts Requirements PyRevit Plugin in Revit Description Note: PyRevit is one of the best Revit plugins that helps you speed up your workflow, create your own custom plugin in Revit to enhance efficiency, and optimize the 3D modeling and BIM process.1. How can BIM specialists fully automate modeling processes in Revit and enhance productivity?2. What are the differences and advantages between PyRevit and Dynamo that this course specifically focuses on?3. How can we leverage the power of PyRevit to optimize BIM projects even without programming knowledge?The comprehensive PyRevit course in Revit is a complete training program designed to increase speed and productivity in BIM projects. by using this powerful, Open source plugin, you can automate repetitive processes, improve modeling accuracy, and optimize BIM workflows. This course helps engineers and BIM specialists elevate their performance in Revit to a professional level using Python and PyRevit tools, allowing them to complete complex projects faster and with greater precision.Some of the topics you will learn in this course:Automate tasks in Revit to boost productivity.Speed up modeling without losing accuracy.Optimize BIM workflows for faster project delivery.Create custom Python scripts for automation.Manage views, sheets, and tags efficiently.Detect and fix errors in modeling.Use pre-built PyRevit tools for time-saving.Master a free, open-source plugin for cost-effective solutions.Boost your speed and accuracy in Revit with the comprehensive PyRevit course and make modeling smarter! If you're tired of repetitive tasks, this course teaches you how to automate your workflow, increase productivity, and Optimize BIM processes using Python and PyRevit. No programming knowledge is required complete complex tasks faster with just a few clicks and take advantage of a free, open-source plugin to reduce costs.Enroll in this course right now, and feel free to ask me any questions throughout your learning journey so you can implement this process in the best possible way. I'm with you every step of the way to help you become a professional. Overview Section 1: Introduction to the PyRevit Plugin and Its Benefits Lecture 1 PyRevit Plugin & Benefits Lecture 2 PyRevit Tab Coloring - Organize tabs visually Lecture 3 PyRevit Highlight 2D - Enhance 2D element visibility Lecture 4 PyRevit Minify UI - Optimize interface and plugins Lecture 5 PyRevit Importer Tool - Show/hide imported files Lecture 6 PyRevit Section Box - Enable/disable instantly Lecture 7 PyRevit Sync Views - Align Plan and Ceiling Plan Lecture 8 PyRevit Show View Range - Manage View Range efficiently Section 2: Selection Tools in PyRevit Lecture 9 Selection Panel in PyRevit Lecture 10 Pick Tool in PyRevit Lecture 11 Pick Detail Elements with PyRevit Lecture 12 Pick Model Elements in PyRevit Lecture 13 Isolate Tool in PyRevit Lecture 14 Discard Grouped Elements with PyRevit Lecture 15 Discard Pinned Elements in PyRevit Lecture 16 Identify Hosted Elements via PyRevit Lecture 17 Keep Mirrored Elements in PyRevit Lecture 18 Remove Painted Elements whit PyRevit Lecture 19 Add Tagged Elements with PyRevit Lecture 20 Find & Select Entities Without Dimensions in PyRevit Lecture 21 Identify Untagged Elements whit PyRevit Lecture 22 Invert Selection with PyRevit Lecture 23 Create Clickable Selection Lists in PyRevit Section 3: Advanced Selection and Data Management Tools in PyRevit Lecture 24 Select All Revision Clouds in PyRevit Lecture 25 Select All Clouds with Same Comment in PyRevit Lecture 26 Select All Elements of Same Family in PyRevit Lecture 27 Select All Objects of Selected Type with PyRevit Lecture 28 Select All Text Notes in PyRevit Lecture 29 Select Vertical/Horizontal Reveals with PyRevit Lecture 30 Select Group and Subgroup Elements in PyRevit Lecture 31 Select Group Elements with PyRevit Lecture 32 Elect Subwalls of Stacked Wall in PyRevit Section 4: Advanced Data and Information Management in PyRevit Lecture 33 MAppend & MRead in PyRevit Lecture 34 Pro Techniques for MAppend & MRead in PyRevit Lecture 35 Copy/Paste State in PyRevit BIM Modelers,Revit Users,BIM Coordinators,BIM Managers,3D Modelers,Construction Managers,Architects,MEP Modelers,Project Managers,Structural Engineers TurboBit https://turbobit.net/qm5axon0mvjd/Udemy.-.PyRevit.for.Revit..BIM.Automate.and.Optimize.Your.Workflow.2025-3.rar.html RapidGator https://rapidgator.net/file/458f02442a04036eee1a887f3cb5ae11/Udemy.-.PyRevit.for.Revit..BIM.Automate.and.Optimize.Your.Workflow.2025-3.rar FileFactory

Learn Smartphone Repair Using Service Manual Diagrams Published 8/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.92 GB | Duration: 0h 57m Foundation Course of Troubleshoot Smartphone Common Faults Beginner to Intermediate (Make Money Opportunity) What you'll learn Learn What are a hazard and Safety Precautions you have to take before starting smartphone repair Learn The Use of Tools to Disassemble and Assemble smartphones with the help of the Internet and video websites Learn to download a smartphone service manual diagram and read it Advanced Diagnostic Techniques Learn In-depth methods and tools for diagnosing complex issues in smartphones with level 2, and level 3 Repair Techniques Learn the Function of Parts and How to Check and Test Them with Digital Multimeter Learn Use of Tools and Equipment involved in soldering and desoldering on-circuit components and ICs Learn Customer Service Skills including Active Listening, Communication, Problem-Solving, Technical Knowledge, Time Management, and Professionalism Requirements Internet access For this course you will need a PDF reader device this may be a phone, Computer, or Tablet for viewing PDF schematics diagrams You will also need a smartphone and its motherboard for physically seeing what we shall be talking about, this might be old, new, or probably not working condition Basic computer knowledge would be helpful Experience with smartphone screen/battery exchange would be helpful Some knowledge about soldering would be helpful Description Whether you're a beginner looking to start a cell phone repair service or trying to save money by learning to fix your smart phone issues, this course is exactly what you need to build a solid foundation in smartphone repair. Hi, my name is Muhammad Asif Azeemi and I have been working as a cell phone technician and teacher since 2004. As someone who has been repairing for a long time, I know the challenges of learning smartphone repairs, especially if you are learning by yourself. If you've thought about getting information main parts of smartphones, but don't know where to start, this course gives you the information you need. What You Will Gain From This Course:This course is prepared to provide Beginner to Intermediate in-depth knowledge starting from:Enables you to get prepared for Safety Precautions before starting cell phone and smartphone repair work.Enables you to Set up workspace for starting the phone repair.Enables you to examine the data from the internet for practicing disassembling, and Assembling smartphones and identifying their spare parts.Teaches you what service manual diagrams are and why mobile phone companies make them.Teaches you how to find and download a smartphone service manual diagram and how to open it for reading.Enables you to learn the use of In-depth methods and tools for diagnosing complex smartphone issues with level 2, and level 3 Repair Techniques.Enables you to examine the knowledge from the service manual diagram and diagnose the smartphone problem quickly. Enables you to perform common soldering and desoldering tasks on the PCB of smartphones. Teaches you Customer Service Skills, including:Active ListeningCommunicationProblem-SolvingTechnical KnowledgeTime ManagementProfessionalismWith practical examples. Also, will learn where to get technical knowledge to enhance your customer service skills to create the best future in the phone repair business.Benefits of Having The Course:After this course, you will be able to use service manual diagrams to diagnose and fix smartphone issues with earliest their brands. You will be able to fix smartphone brands likeOppoSamsungHuaweiXiaomiMediaTek Processor SmartphonesQualcomm Processor Smartphonesand many more.You will also be able to fix complex smartphone issues likeSmartphones that don't power onWater damageBlack DisplayAbnormal Touch or Ghost touchReboot during Power onSudden Discharge in the idle stateAbnormal CameraSPK sound abnormalAccelerometer Sensor ProblemWi-Fi Connection ProblemGPS ProblemNot chargingand many more.Once you have watched and practiced the videos from this course, you will be able to examine the parts and components of smartphones, diagnose the problem, and replace the faulty parts from the smartphones.So don't hesitate whether you're a tech enthusiast, a DIY hobbyist, or simply someone who wants to understand the inner workings of their smartphone, I encourage you to join this course now and see how smartphone repair skills can change your life."Don't wait! Get started right away!"Don't let your smartphone troubles hold you back any longer! Sign up now by clicking the Buy Now button at the top of this page. Overview Section 1: Introduction Lecture 1 Course Overview Section 2: What is a hazard and Safety Precautions you have to take before starting Lecture 2 What is a hazard Lecture 3 Types of hazard Lecture 4 Safety Precautions Section 3: Important tools for practicing disassembly smartphones with help of the internet Lecture 5 Practicing the disassembly smartphones with the help of the internet Lecture 6 Tools and Equipment for smartphone diasemble Section 4: Learn To Download Service Manual Diagram and Read It Lecture 7 Mobile Phone Service Manual Diagram Lecture 8 How Mobile Service Manual Diagram Made Lecture 9 How to download the Smartphone Service Manual Section 5: Advanced Diagnostic Techniques To Find Faults In Smartphones Lecture 10 Reading Service Manual To Preform Level 2 Repair Lecture 11 Reading Service Manual To Preform Level 3 Repair Lecture 12 Reading Components Layout Lecture 13 Reading Block Diagram Lecture 14 Reading Flowchart Troubleshooting Diagram Section 6: How to Use the Digital Multimeter to Test and Check Smartphone Spare Parts Lecture 15 Digital multimeter and battery activation board Lecture 16 Battery voltage testing Lecture 17 Ues of Battery Activation Board to check non-removable battery of smartphone Lecture 18 Testing Ear Receiver with a Multimeter Lecture 19 Testing vibrator with a Multimeter Lecture 20 Testing speakers with Multimeter Lecture 21 Testing Analog and SMD MIC with Multimeter Lecture 22 Testing Switch with a Multimeter Lecture 23 Conclusion checking the parts with the multimeter Section 7: Soldering Skills Tips and Techniques For Smartphone Repair Lecture 24 What is Soldering Lecture 25 Temperature Control Lecture 26 Component Handling Lecture 27 Rework Lecture 28 Common Smartphone Repair Soldering Tasks Section 8: Customer Service Skills Lecture 29 Active Listening Lecture 30 Communication Lecture 31 Technical Knowledge for Smartphone Repairing Lecture 32 Problem-Solving for Finding Solutions Efficiently Lecture 33 Time Management Lecture 34 Professionalism The Face of Your Business Section 9: Conclusion Lecture 35 Course Conclusion Anybody that wants to Do-It-Yourself repairs,Anybody that wants to fix his/her smartphone,Everyone who is interested in Phone repair,Anyone that wants to make money in fixing Phone hardware issues,Anyone who wants to become cell phone repair technician,Anyone who wants to startup smartphone repair shop,Small business owners looking to expand into the smartphone repair,Technology enthusiasts interested in the business side of smart phone repair,Retail managers aiming to incorporate smartphone repair services,Marketing professionals seeking to understand customer skills for smartphone repair,Anyone who wants to work abroad,Aspiring entrepreneurs eager to launch their own mobile shop,All hobbyist curious people like to discover how smartphone parts and their motherboards work,This course is for people who are computer repair technicians, IT specialists, and Computer science students who would like to learn level 2 and level 3 smartphone repair TurboBit https://turbobit.net/vb9r865sgtue/Udemy.-.Learn.Smartphone.Repair.Using.Service.Manual.Diagrams.2024-9.part1.rar.html https://turbobit.net/e62skyj18r86/Udemy.-.Learn.Smartphone.Repair.Using.Service.Manual.Diagrams.2024-9.part2.rar.html RapidGator https://rapidgator.net/file/def39bfca6c1340064f3de9f741b7853/Udemy.-.Learn.Smartphone.Repair.Using.Service.Manual.Diagrams.2024-9.part1.rar https://rapidgator.net/file/0120814528a5255ab45b4d687110cead/Udemy.-.Learn.Smartphone.Repair.Using.Service.Manual.Diagrams.2024-9.part2.rar FileFactory

It Career Development And Soft Skills Published 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 568.43 MB | Duration: 1h 24m Mastering the Skills and Strategies to Thrive in the IT Industry What you'll learn Understand the IT Career Landscape Set and Achieve SMART Career Goals Craft a Winning Resume and Ace Interviews Develop Essential Soft Skills Build a Strong Professional Network Commit to Lifelong Learning and Upskilling Build a Personal Brand and Maintain Work-Life Balance Requirements A basic understanding of IT concepts. Access to a computer and internet. A willingness to learn, reflect, and grow. A growth mindset to adapt to industry changes. A notebook or digital tool for tracking progress. A commitment to taking action and applying what you learn. Description This course is designed to equip IT professionals, students, and career switchers with the essential skills and strategies needed to build a successful and fulfilling career in the IT industry. While technical expertise is crucial, this course focuses on the soft skills, career development strategies, and personal branding techniques that will help you stand out, advance your career, and thrive in a competitive job market.Course ObjectivesBy the end of this course, you will:Understand the IT career landscape and identify roles that align with your strengths and interests.Set clear, actionable career goals using the SMART framework.Craft a winning resume tailored to specific IT roles.Ace technical and behavioral interviews with confidence.Develop essential soft skills like communication, collaboration, and problem-solving.Build a strong professional network and leverage platforms like LinkedIn.Commit to lifelong learning and upskilling to stay relevant in the IT industry.Navigate career transitions smoothly, whether switching roles or moving into leadership.Maintain a healthy work-life balance and manage stress effectively.Build a personal brand that establishes you as an expert in your field.Course ModulesModule 1: Understanding the IT Career LandscapeExplore key IT roles and their responsibilities (e.g., software developer, cybersecurity analyst, cloud engineer).Identify industry trends shaping IT careers (e.g., AI, cloud computing, cybersecurity).Learn how to align your skills and interests with the right career path.Module 2: Building Your IT Career FoundationConduct a self-assessment to identify your strengths, interests, and areas for improvement.Set SMART career goals to guide your professional development.Module 3: Crafting a Winning ResumeLearn how to create a professional, achievement-focused resume.Tailor your resume for specific IT roles using keywords and quantifiable achievements.Avoid common resume mistakes and stand out to hiring managers.Module 4: Acing the IT InterviewPrepare for technical interviews by mastering coding challenges and system design questions.Use the STAR method to excel in behavioral interviews.Practice mock interviews to build confidence and improve your performance.Module 5: Developing Essential Soft SkillsImprove communication skills to explain technical concepts to non-technical audiences.Enhance collaboration and teamwork to work effectively in cross-functional teams.Develop problem-solving and conflict resolution skills to handle challenges.Module 6: Building a Professional NetworkLearn the importance of networking in the IT industry.Attend industry events, join online communities, and seek mentorship.Leverage LinkedIn to connect with professionals and showcase your expertise.Module 7: Upskilling and Continuous LearningUnderstand the importance of continuous learning and adaptability.Earn relevant certifications to validate your skills and knowledge.Commit to lifelong learning through online courses, study groups, and hands-on projects.Module 8: Navigating Career TransitionsIdentify transferable skills to transition into new IT roles.Gain hands-on experience and earn certifications to support your career switch.Develop leadership skills to move into roles like tech lead, manager, or CTO.Module 9: Work-Life Balance and Mental HealthLearn stress management techniques to maintain productivity and well-being.Achieve a healthy work-life balance by setting boundaries and prioritizing personal time.Module 10: Building a Personal BrandDefine your niche and create valuable content to showcase your expertise.Engage on social media and speak at events to establish yourself as an industry expert.Use LinkedIn and other platforms to build a consistent and professional online presence.Key Features of the CourseReal-World Case Studies: Learn from success stories of IT professionals who transformed their careers.Actionable Tips: Practical advice and step-by-step guidance for each topic.Assignments and Exercises: Hands-on activities to apply what you've learned (e.g., updating your resume, practicing interview questions, creating a LinkedIn post).Focus on Soft Skills: Emphasis on communication, collaboration, leadership, and other non-technical skills that are critical for career success.Lifelong Learning Mindset: Encouragement to stay curious, adaptable, and committed to growth.Course OutcomesBy completing this course, you will:Have a clear roadmap for your IT career, including short-term and long-term goals.Possess a polished resume and LinkedIn profile tailored to your desired roles.Be prepared to ace technical and behavioral interviews with confidence.Have a strong professional network and mentorship connections.Develop essential soft skills that will make you a valuable team member and leader.Build a personal brand that positions you as an expert in your field.Maintain a healthy work-life balance and manage stress effectively.Be equipped to navigate career transitions and adapt to industry changes."Your IT career is a journey, and this course is your guide. By combining technical expertise with strong soft skills, a growth mindset, and a commitment to continuous learning, you'll be well-equipped to achieve success and fulfillment in the ever-evolving IT industry." Overview Section 1: Introduction Lecture 1 Welcome to the Course Section 2: Module 1 - Understanding the IT Career Landscape Lecture 2 Key IT Roles and their Responsibilities Lecture 3 Trends Shaping IT Careers Section 3: Module 2 - Building Your IT Career Foundation Lecture 4 Identifying Your Strengths and Interests Lecture 5 Setting SMART Career Goals Section 4: Module 3 - Crafting a Winning Resume for IT Professionals Lecture 6 Resume Essentials for IT Professionals Lecture 7 Tailoring Your Resume for Specific Roles Section 5: Module 4 - Acing the IT Interview Lecture 8 Preparing for Technical Interviews Lecture 9 Mastering Behavioral Interviews Section 6: Module 5 - Developing Essential Soft Skills Lecture 10 Communication Skills for IT Professionals Lecture 11 Collaboration and Teamwork Section 7: Module 6 - Building a Professional Network Lecture 12 The Power of Networking in IT Lecture 13 Leveraging LinkedIn for Career Growth Section 8: Module 7 - Upskilling and Continuous Learning Lecture 14 The Importance of Lifelong Learning in IT Lecture 15 Choosing the Right Certifications Section 9: Module 8 - Navigating Career Transitions Lecture 16 Switching Roles Within IT Lecture 17 Moving into Leadership Roles Section 10: Module 9 - Work-Life Balance and Mental Health Lecture 18 Managing Stress in High-Pressure IT Roles Lecture 19 Achieving Work-Life Balance Section 11: Module 10 - Building a Personal Brand Lecture 20 Why Personal Branding Matters in IT Lecture 21 Steps to Build Your Brand Section 12: Conclusion Lecture 22 Conclusion and Next Steps IT Students: Looking to prepare for their first job in the industry.,Early-Career Professionals: Seeking to advance their careers and develop soft skills.,Career Switchers: Transitioning into IT from another field.,Experienced IT Professionals: Wanting to move into leadership roles or specialize in a new area.,Anyone in IT: Who wants to improve their resume, interview skills, networking, and personal branding. TurboBit https://turbobit.net/c9auoifabhi7/Udemy.-.IT.Career.Development.and.Soft.Skills.2025-3.rar.html RapidGator https://rapidgator.net/file/489cd3ec681f4657cc1652da4cc053d1/Udemy.-.IT.Career.Development.and.Soft.Skills.2025-3.rar FileFactory

Genai And Predictive Ai Architecture Published 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 678.41 MB | Duration: 3h 23m Explore The Generative AI & Predictive AI Architectures, Core Components, Layers, Model Types & Use Cases What you'll learn Foundations of Generative AI & Predictive AI Understand the key components and layers within Generative AI and Predictive AI architectures. Learn the differences between traditional AI, Generative AI, and Predictive AI and how to select the right approach. Analyze enterprise AI architecture and its application Explore various types of Generative AI models, including GANs, VAEs, Transformers, and Diffusion models. Discover the best practices for using Generative AI in business applications. Compare Conversational AI vs. Generative AI to understand chatbot and AI assistant implementations. Explore over 40+ real-world use cases of Generative AI across industries. Evaluate the top Generative AI tools and platforms, including OpenAI's GPT models, Google's Bard, Stability AI, and more. Learn about popular Generative AI models and their key differentiators. Understand the differences between Large Language Models (LLMs) and Generative AI and when to use each. Learn the layers of Predictive AI architecture and how data is processed for forecasting and decision-making. Explore various Predictive AI models, such as regression models, decision trees, neural networks, and time series forecasting. Understand how Predictive AI works, including data ingestion, model training, and prediction generation. Gain knowledge on how to implement Predictive AI in an organization Compare Generative AI vs. Predictive AI applications to determine their respective strengths in different scenarios. Explore the Generative AI Monitoring Architecture Learn how Predictive AI Monitoring Architecture works to enhance model accuracy, reduce drift, and optimize decision-making. Requirements Basic Knowledge of AI No advanced programming knowledge is required Description The rapid advancements in artificial intelligence (AI) have led to the rise of two transformative branches: Generative AI and Predictive AI. This comprehensive course explores their architectural foundations, key components, and practical applications in enterprise environments. Designed for AI professionals, data scientists, and business leaders, this course provides a deep dive into how these two AI paradigms work, their unique advantages, and their role in shaping the future of automation and decision-making.The course begins with an in-depth exploration of Generative AI Architecture & Key Components, where learners will understand the essential layers within Generative AI and how various models, such as GANs, VAEs, and diffusion models, generate new content. We will examine Types of Generative AI Models and their outputs, followed by discussions on best practices for leveraging Generative AI effectively in different domains. A comparative analysis of Traditional AI vs. Generative AI and Conversational AI vs. Generative AI will provide clarity on when to adopt these technologies. Enterprise implementation strategies will be covered in Enterprise Generative AI Architecture Layers & Components, along with real-world examples of Top 40+ Generative AI Use Cases and the Top 7 Most Popular Generative AI Tools and Platforms.Moving to Predictive AI, the course explores Predictive AI Architecture, including its layers and models, and delves into how Predictive AI works in real-world applications. We will discuss differences in architecture, purpose, and implementation compared to Generative AI, helping professionals make informed decisions when deploying AI solutions. Practical sessions on implementing Predictive AI in organizations will guide learners through real-world case studies.Finally, the course examines AI monitoring frameworks, focusing on Generative AI Monitoring Architecture and Predictive AI Monitoring Architecture to ensure AI systems remain efficient, ethical, and reliable. By the end of this course, participants will have a robust understanding of how to choose between Large Language Models (LLMs) and Generative AI, as well as the fundamental distinctions between Generative AI and Predictive AI applications. Overview Section 1: Introduction Lecture 1 Introduction Section 2: Generative Al Lecture 2 Generative Al Architecture & Key Components Lecture 3 Types of Generative Al Models Lecture 4 Layers Within Architecture of Generative Al Lecture 5 How Generative Al Works Lecture 6 What Are the Outputs of Generative Al Lecture 7 Best Practices for Using Generative Al Lecture 8 Traditional Al vs Generative Al Lecture 9 How to Choose Between Al and GenAl Lecture 10 Conversational Al vs Generative Al Lecture 11 Enterprise Generative Al Architecture Layers & Components Lecture 12 Top 40+ GenAl Use Case Lecture 13 Top 7 Most Popular Generative AI Tools and Platforms Lecture 14 Examples of Popular Generative AI Models Lecture 15 Key Differences Between Large Language Models (LLMs) and Generative AI Lecture 16 How to Choose Between Large Language Models (LLMs) and Generative AI? Section 3: Predictive Al Lecture 17 Predictive Al Architecture Lecture 18 Layers in Predictive Al Architecture Lecture 19 Models in Predictive Al Lecture 20 How Predictive Al Works Lecture 21 Implementing Predictive Al in an Organization Section 4: Gen AI & Predictive AI -Differences in Architecture, Purpose, and Implementation Lecture 22 Differences in Architecture, Purpose, and Implementation Lecture 23 Generative AI vs Predictive AI: Applications Section 5: Monitoring Architecture -Generative AI & Predictive AI Lecture 24 Generative Al Monitoring Architecture Lecture 25 Predictive Al Monitoring Architecture AI & Machine Learning Professionals,Data Scientists & Analysts,AI engineers, data scientists, and ML practitioners,AI developers,Data analysts,C-level executives, AI strategists, and product managers,Innovation leaders seeking to integrate Generative AI and Predictive AI into business models,Professionals responsible for AI adoption and governance within enterprises.,Software Engineers & AI Developers,Academic Researchers & AI Enthusiasts TurboBit https://turbobit.net/hxr2wne5edf0/Udemy.-.GenAI.and.Predictive.AI.Architecture.2025-3.part1.rar.html https://turbobit.net/9srncuot526w/Udemy.-.GenAI.and.Predictive.AI.Architecture.2025-3.part2.rar.html RapidGator https://rapidgator.net/file/9e776c2790bfba27e7b6d900528122ca/Udemy.-.GenAI.and.Predictive.AI.Architecture.2025-3.part1.rar https://rapidgator.net/file/12edb9ac6cadd2e689d57f82abbf7c96/Udemy.-.GenAI.and.Predictive.AI.Architecture.2025-3.part2.rar FileFactory

Hard Cissp Practice Questions #5: All Cissp Domains - 125Q Published 11/2023 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 463.66 MB | Duration: 0h 40m Learn how to answer CISSP questions RIGHT. Test your knowledge on 125 actual HARD CISSP questions. 2023 version. Test #5 What you'll learn Help you pass the CISSP certification exam. Find your weak areas for the CISSP . Improve your IT Security knowledge. Prepare for the 2021 version of the Certified Information Systems Security Professional (CISSP) Certification Exam (next CISSP update is in 2024). Try a full exam emulation exam, covering all 8 CISSP domains with 125 HARD CISSP questions. Requirements Wanting to pass the CISSP certification, some IT Security knowledge is required. Wanting to find your weak areas for the CISSP certification, and improve on them. Description * Updated for the 2021 CISSP curriculum and the 2022 exam changes *Welcome, I am Thor Pedersen, and I am here to help you pass your CISSP certification.With over 470,000 enrollments from 190+ countries, my CISSP and CISM courses are both the "Best Selling" and "Highest Rated" here on Udemy.In this course I will cover how to approach practice tests, how to deconstruct practice questions, time management, how to make your own CISSP study plan, and finally you get 125 HARD CISSP questions in a full CISSP practice test.The questions on these tests have the same domain weight as the real CISSP exam questions does.Getting your CISSP certification now is a very smart career move.1. The CISSP certification is the gold standard for IT Security certifications.2. There are more job openings for CISSPs in the US (134,000) than there are CISSP certified individuals (94,000).3. The average CISSP salary in the US is over USD130,000 a year.What our other students are saying about my CISSP courses:I passed the CISSP with the ISC Book and Thor's lectures and practice questions. Enough said! (Warren, 5-stars)Hi Thor, I used your test and videos and passed the exam at first attempt. I scored your tests above 75% and real test was bit challenging than them. Thank you Shan (Shan, 5-stars)I just passed my CISSP and used your question banks for study. All domains were covered and explanations on the questions were through. (John, 5-stars)Of all the practice tests have paid for this one is the most helpful because it gave precise results so I am able to focus on the week points. I also appreciate how quickly Thor updated the test to reflect the new CAT style exam. (Kim, 5-stars)This is my third course experience and Thor is my third instructor. I gave Thor a 5-star because of his knowledge, his grasp of English language, and his attitude. I love how Thor can explain complicated concepts clearly and make them easy to understand. I love how humble and polite his attitude is. I also like the fact that he is attentive and responsive to my questions. (Jin, 5-stars)At the end of the test you will get an explanation for each question and explaining to why the right answer is the right answer.You can see the total percentage score for the entire test as well as a weighted percent score for each of the 8 CISSP domains. You can review each question and sort them by CISSP knowledge area, correct answers, wrong answers, skipped questions and questions marked for review.The questions on these tests have the same domain weight as the real CISSP exam does.Security and Risk Management - 20 questionsAsset Security - 13 questionsSecurity Engineering - 15 questions Communications and Network Security - 15 questionsIdentity and Access Management (IAM) - 16 questions Security Assessment and Testing - 14 questionsSecurity Operations - 20 questions Software Development Security - 12 questions I recommend students to do 1,500-3,000 easy/mid CISSP practice questions and 1,000-1,500 HARD CISSP practice questions before the exam. I only know of 3 hard CISSP practice sets: my own hard questions, Boson questions, and SNT. Wentz Wu also has hard questions on his CISSP blog, but not as full practice tests.Do multiple CISSP certification practice tests like this one, do the full 4 hours and 125 questions to see how you handle it. This is as much mental stamina and reading the questions right and answering from an IT Security managers point of view, as it is the actual knowledge.You can take this CISSP certification practice test as many times as you want, the questions and the answer order is randomized. On hard questions you will score lower. It is normal to score 80%+ on easy/mid questions and 50-60% on hard questions. The point of all questions is to find the gaps in your knowledge, learn how to deconstruct questions, argue WHY the answer you chose is the RIGHT answer in this scenario, making you ready for exam day.Prepare for the 2021 version of the Certified Information Systems Security Professional (CISSP) Certification Exam which is what you will be tested on until the next CISSP curriculum update in 2024.You'll Also Get:Lifetime Access to the course and all course updates.30-days no questions asked, money back guarantee. Start your certification journey today, let me help YOU get certified. Overview Section 1: Introduction Lecture 1 Introduction. Lecture 2 The Udemy interface. Lecture 3 How to use practice questions, deconstruct them, and time management- Part 1. Lecture 4 How to use practice questions, deconstruct them, and time management- Part 2. Lecture 5 How to build your study plan. Section 2: Take the practice test Section 3: Bonus Lecture Lecture 6 Bonus Lecture People wanting to pass the CISSP certification.,Anyone wanting to test their IT Security knowledge.,New and experienced IT Security professionals. TurboBit https://turbobit.net/epd0p69qj71a/Udemy.-.HARD.CISSP.practice.questions.%233.All.CISSP.domains.-.125Q.2025-1.rar.html RapidGator https://rapidgator.net/file/000b8a428ee114a148f5dd368a82bc6c/Udemy.-.HARD.CISSP.practice.questions.#3.All.CISSP.domains.-.125Q.2025-1.rar FileFactory

Deploying Python Applications On Google Cloud Platform Published 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.11 GB | Duration: 2h 35m From Training to Cloud: Deploying Machine Learning Models on GCP with Python What you'll learn Explore key platform services like Google Compute Engine (GCE), App Engine (GAE), Kubernetes Engine (GKE), Cloud Run, and Cloud Functions Determine the most suitable service for each type of application Train and evaluate a CNN model, including creating a Python project locally that's ready for deployment Deploy your machine learning application across multiple GCP services, learning to configure environments and manage resources Prevent unnecessary costs by properly cleaning up resources after deployment Requirements Basic knowledge of Python and machine learning (prior experience with neural networks is a plus) Familiarity with web development concepts (optional but recommended) Description Learning to implement machine learning models in production is a critical skill for data scientists who want to move beyond theoretical analysis and create practical business impact. While building models is essential, it is during deployment that these solutions come to life, becoming accessible to end users and integrating into real-world systems. Mastering this phase allows data scientists to ensure the scalability of their solutions, monitor performance in dynamic environments, and collaborate effectively with development and operations teams. Additionally, understanding the full lifecycle-from training to cloud deployment-enhances professional relevance, positioning data scientists as strategic players capable of delivering tangible value from conception to operation.This introductory course is designed for developers, machine learning enthusiasts, and data professionals who want to learn how to deploy their first AI applications on the web using Google Cloud Platform (GCP). Through a hands-on approach, you will be guided from training a convolutional neural network (CNN) for image classification to deploying the model on scalable cloud services. The course includes an introduction to key GCP services such as Google Compute Engine (GCE), App Engine (GAE), Kubernetes Engine (GKE), Cloud Run, and Cloud Functions, enabling you to compare and choose the best option for your project.In the first stage, you will set up your local environment: import libraries (like TensorFlow/Keras), train and evaluate your CNN model, and create a simple Python application to integrate with the trained model. Next, you will learn how to configure GCP and deploy to different services.Ideal for cloud computing beginners and professionals looking to put machine learning models into production. By the end, you will have deployed a functional web application for image classification in the cloud, mastering the full development cycle-from model training to deployment on Google's professional services. Overview Section 1: Introduction Lecture 1 Course content Lecture 2 Course materials Lecture 3 Technical terms Lecture 4 Google Cloud Platform services 1 Lecture 5 Google Cloud Platform services 2 Section 2: Preparing the application Lecture 6 Importing the libraries Lecture 7 Loading the dataset Lecture 8 Creating and training the model Lecture 9 Model evaluation Lecture 10 Creating a local project Lecture 11 Creating a Python app 1 Lecture 12 Creating a Python app 2 Section 3: Deploying Python app on GCP Lecture 13 Preparing Google Cloud Platform Lecture 14 Deploy on Google Compute Engine (GCE) 1 Lecture 15 Deploy on Google Compute Engine (GCE) 2 Lecture 16 Deploy on Google App Engine (GAE) Lecture 17 Deploy on Google Kubernetes Engine (GKE) Lecture 18 Deploy on Cloud Run Lecture 19 Deploy on Cloud Run Functions Lecture 20 Avoid charges: cleaning the environment Section 4: Final remarks Lecture 21 Final remarks Lecture 22 BONUS Cloud computing beginners looking to take their first steps with GCP,Data scientists and Python developers aiming to deploy machine learning models in production TurboBit https://turbobit.net/u915xri8q1kg/Udemy.-.Deploying.Python.Applications.on.Google.Cloud.Platform.2025-3.part1.rar.html https://turbobit.net/m6qsgvd6rdz9/Udemy.-.Deploying.Python.Applications.on.Google.Cloud.Platform.2025-3.part2.rar.html RapidGator https://rapidgator.net/file/9e28f20bb764115f81cfdc78bb4ff6af/Udemy.-.Deploying.Python.Applications.on.Google.Cloud.Platform.2025-3.part1.rar https://rapidgator.net/file/6e8f28ef19776b2af9121f2c39c3ca7a/Udemy.-.Deploying.Python.Applications.on.Google.Cloud.Platform.2025-3.part2.rar FileFactory

Complete French Course - Beginners To Advanced/ Learn Fast Published 11/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 603.25 MB | Duration: 3h 24m Learn French used in Daily life Fast and Easy/ No Bad Accent by a Native Certified Teacher| 20+ years experience What you'll learn Speak the French that French speakers actually use in every day life not just the Formal French as in other French courses through dialogues Tactics on how to sound like Native French speakers so they can understand you and you can understand them Techniques to help you read any new words and pronounce them correctly on your own Strategies on how to make your own French sentences not just repeat the sentences the teacher gives you Differences in accents so you can speak French confidently and easily with French speakers from around the world about many topics Start to understand French speakers easily and be understood quickly by them Master reading French The road map that helps you learn French quickly and correctly, and speak it confidently Ways to master grammar and conjugation without getting bored Requirements Be ready to speak French Have fun learning Description Bonjour and welcome to the comprehensive and organized French language course where you will learn how to speak like French speakers actually speak not just the Formal French taught in schools and by other courses!I am a native speaker and a French teacher and I am always making new videos for my private students. Therefore, I will be uploading French videos to this French course every week. WHAT YOU WILL GET OUT OF THIS FRENCH LANGUAGE COURSE:After taking this French language course, you will: Start to speak French confidently and easily with French speakers from around the world about topics in this French course Be able to understand French speakers easily and they will be able to understand you quickly when you speak French about the topics taught in this French language course Make sentences on your own in French Ways to learn French faster You will be able to continue learning more French on your own Know the road map that will help you speak French as fast as possibleHow I will help you achieve the above results:1. I will teach you the French that is actually spoken by French speakers not just the Formal French: Just like English, in school we learned to say: "I am going to study"However, in everyday spoken English, nobody says that. In the US, they say: "I'm gonna study" The same thing happens in the French language. There are 3 types of French Le Français Familier: The French spoken in every day life Le Français Standard: The French spoken in formal situations and it is also written Le Français Soutenu: The written French used in literature, news, books .etcIn order to understand French speakers, French movies, French shows ..etc, you need to learn the French used in every day life which is called: "Le Français Familier".Other teachers, apps and courses do not teach you "Le Français Familier" which is the French you actually need to communicate with French speakers. 2. I will teach you tips and techniques on how to read French which you don't find in many courses:Compared to English, French pronunciation rules are very consistent. If you know them, you will be able to learn new words on your own without needing someone to pronounce them for you.Therefore, you will be able to become fluent quicker than if you need someone to teach you how to say every word you learn. You will save time, energy and money.Example: If the word in French has a "G" followed by an "e", the "G" will always be pronounced as a soft "G", which is not the case in English where the "Ge" could be pronounced as a soft sound or a hard sound. Soft in "Garage" and hard G in "To get".3. I will teach you how to construct sentences on your own not just give you sentences to memorize. This way you will improve your French quickly.4. I will teach you the necessary grammar and conjugation related to phrases and conversation we will learn in this French course so you can apply them as you go and speak French correctly. No lists of grammar and conjugation to memorize!5. You will learn tips to help you learn, retain, and use grammar and conjugation. This will help you speak correctly and like natives in addition to making sentences on your own.WHAT MAKES ME QUALIFIED TO TEACH YOU FRENCH?1. I am a native speaker of French 2. I am a certified teacher 3. I have been teaching French for 20+ years • At the college and high school levels • To travelers to France and Francophone countries • To government employees and officials working with French speakers or relocating to France or Francophone countries • To doctors and health care providers working with French speakers or relocating to France or Francophone countries • To students from all walks of life • I also help students prepare for French tests and exams such as OPI, DLPT, AP French exams, . etc4. I have taught thousands of students to speak French with French speakers from around the world. I know what works and what doesn't. These students always say to me: "I wish I found you earlier"5. My private students are always satisfied: Please check out reviews below given by my private students:TestimonialsAn impeccable tutor "Nezha is an impeccable tutor. Her knowledge of French is terrific. She is quite ahead of the established books and tutorials. Her particular emphasis on pronunciation helped me understand the nuances that I could not find in any other source. She is patient and listens to our feedback and adjusts the tutoring accordingly. I have made considerable progress in 3-4 months since I started. I would highly recommend her for anyone who wants to master French."Selvakumar Wonderful Teacher I was very thrilled because I can see already that she is very thorough and explains everything extremely well. I am very excited to work with her.MaricaMore benefits of taking this specific French language course:This online French course helps you learn and remember French because it uses: A spiral learning method meaning that you will learn French vocabulary, sentence construction in the French language, French grammar and French conjugation by mastering one topic in French at a time. Some French courses teach you a French word and a French phrase here and there which leave you confused on how and when to use them. In this French course you will learn everything you need to talk about a certain topic.Colors to help you learn French easily, and retain the information you have learned in this online French course, especially if you are a visual learner. Our brains retain information when it is written in different colors, especially in bright colors or colors you personally like. Repetition of French words, French phrases, and French rules to help you learn and retain French pronunciation, French vocabulary and French rules, especially if you are an auditory learner. An auditory learner is someone who learns by listening.Take your first step to becoming fluent in French !Join the thousands of students I have taught who became fluent in French !Start your first step to speaking French confidently!Successful people have a habit of starting right away.You can always get your money back. 30-Day Money-Back GuaranteeLet's go! Allons-y! Sign up!See you in the first video! Overview Section 1: Level 1 - Greetings in the French language - Say it like a native speaker Lecture 1 Bonjour - Bonne journée Lecture 2 What is the difference between Bonjour Lecture 3 How to to say "a, an, some" with nouns Lecture 4 How to say "The" in French with examples and pronunciation tips Lecture 5 Have a good afternoon in French with pronunciation tips Lecture 6 How to say Have a good evening just like a native speaker Lecture 7 Have a good night in French just like a native speaker w/ pronunciation tips Lecture 8 How to say Hello and Goodbye to friends and family just like a native speaker Lecture 9 Bye and See you in French Lecture 10 No, I don't speak French with rules of pronunciation & sentence structure tips Lecture 11 Welcome in French with pronunciation rules & more vocabulary Lecture 12 Speak slowly in French Lecture 13 See you soon in French with pronunciation tips Lecture 14 "See you very soon" in French with pronunciation tips Lecture 15 How to say "PLEASE" to 1 person formally or a group with tips for pronunciation Lecture 16 "How do you say?" in addition to the verb "To SAY" in the present in French Lecture 17 "See you shortly" (today) in French in Formal & informal situations Lecture 18 See you later in French - Pronunciation & vocabulary tips Lecture 19 "How do you say a book in French" with tips for pronunciation Lecture 20 Farewell in French with Pronunciation & vocabulary tips Lecture 21 Review and "we say a book" in French Section 2: Very important sentences & questions when you start speaking French + tips Lecture 22 Repeat please! How to use other verbs in imperative Lecture 23 I, you, , he, she, it, we, they in French Lecture 24 Another important question when you are learning French with pronunciation tips Lecture 25 1 tip to learn French quickly Lecture 26 Un stylo means a pen Lecture 27 The verb "To speak" in French in the present tense Lecture 28 Numbers in French Lecture 29 Yes, I speak French with rules of pronunciation & sentence structure tips Lecture 30 Do you have any questions? Section 3: Level 1 Lecture 31 Manger au présent; To eat in the present Lecture 32 Faire au présent - To do/ to make in the present Section 4: Part 1 Lecture 33 Faire au passé composé Lecture 34 "Faire à l'imparfait" To do / to make in imperfect Lecture 35 Faire au passé récent - To do / to make in the recent past Students who want to learn the spoken French not just the formal French taught by most courses,Students who want to speak French with French speakers from around the world,Students who want to speak French with a native like accent,Students who want to read and write French correctly,Individuals traveling for pleasure to French speaking countries,Government employees and officials who need to learn French for work TurboBit https://turbobit.net/k0g6l9eqn0w8/Udemy.-.Complete.French.Course.-.Beginners.to.Advanced.Learn.fast.2024-11.rar.html RapidGator https://rapidgator.net/file/9cf6b6f1a6980b81f57395c4b4d9817b/Udemy.-.Complete.French.Course.-.Beginners.to.Advanced.Learn.fast.2024-11.rar FileFactory