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Real Estate Valuation Demystified Published 5/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.11 GB | Duration: 1h 24m A step-by step guide to evaluating houses and gauging market worth What you'll learn Learn to ask and answer the right questions which lead to a comprehensive understanding of most any given single family residence (SFR) Learn how to understand the subject property, select the correct area and use the free tools found on the internet. Understand the framework to successfully value an SFR using using the tools and course materials we have provided. How to complete a valuation of most any investment SFR using both the Sales Comparison and the Income Approach. Have a curiousity or need to understand how to value most any house in a consistent reliable manner. Requirements No experience needed. Basic real estate knowledge is a plus Description This course provides a comprehensive and indispensable primer for new real estate investors, homebuyers, real estate professionals, and anyone interested in gaining a solid understanding of the property valuation process. It offers a detailed and in-depth overview of how the author, with extensive and diverse experience as a real estate investor, licensed broker, certified appraiser, and loan officer, evaluates and analyzes real estate. Through the lens of these multiple professional roles, participants will gain invaluable insights into the critical factors that drive property value, enabling them to navigate the real estate market with confidence and skill.The primary goal of the course is to demystify the often complex and intimidating valuation process by breaking it down into clear, actionable steps. This will help students build a strong foundational understanding of how to evaluate properties effectively. By the end of the course, participants will be equipped with a reliable framework to accurately evaluate and estimate the value of any residential property in the United States. This knowledge will empower them to make well-informed, data-driven decisions in their real estate ventures, whether they are purchasing, selling, refinancing, or investing in properties for the first time or looking to sharpen their existing expertise and skills. Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Due Diligence Lecture 3 Comping Lecture 4 Introduction to the Grid Lecture 5 Financial Adjustment Lecture 6 Time adjustment Lecture 7 Sale-Resale Lecture 8 Year built Lecture 9 Style and Street Appeal Lecture 10 Basement Lecture 11 Bedroom and Bathrooms Lecture 12 HVAC Lecture 13 Parking Lecture 14 Amenities Lecture 15 Extra 1 -Income Approach Lecture 16 Extra 2 -Intro to Book and Tool Lecture 17 Gross Living Area This course is geared for newer RE Investors, potential Owners and Realtors. DDownload https://ddownload.com/gt2awn3ltnc1/yxusj.Real.Estate.Valuation.Demystified.part1.rar https://ddownload.com/c6k7anqn2tcx/yxusj.Real.Estate.Valuation.Demystified.part2.rar RapidGator https://rapidgator.net/file/5e32d252e1fe890411bfa5b727f7b644/yxusj.Real.Estate.Valuation.Demystified.part1.rar https://rapidgator.net/file/6ead5fdbb7a592734dd9530577e50fd8/yxusj.Real.Estate.Valuation.Demystified.part2.rar NitroFlare https://nitroflare.com/view/0157CB10CA49548/yxusj.Real.Estate.Valuation.Demystified.part1.rar https://nitroflare.com/view/FA52A09003A3B61/yxusj.Real.Estate.Valuation.Demystified.part2.rar

Real-Time Ai Face Mask Detection Using Python & Opencv Published 5/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 383.78 MB | Duration: 0h 40m Real-Time Mask Detection: How AI Helps Enforce Safety Measures with Python & Computer Vision. What you'll learn Understand the fundamentals of face mask detection using deep learning models and its role in ensuring public health safety through automated monitoring. Set up a Python development environment with essential libraries, including OpenCV for image processing and Tkinter for real-time video streaming on the web. Explore the YOLOv11 model, optimized for accurate and efficient face mask detection in real-time video streams. Utilize a Roboflow dataset to train and evaluate the model, ensuring diverse and high-quality image data for improved detection accuracy. Learn preprocessing techniques, such as image normalization, resizing, and augmentation, to enhance model performance and ensure compatibility with YOLOv11. Implement real-time visualization by annotating video frames with bounding boxes, class labels, and confidence scores for face mask detection. Address challenges like detecting partially visible faces, handling different lighting conditions, and recognizing various mask-wearing patterns. Develop a user-friendly application using Tkinter to display live video feeds with real-time mask detection capabilities. Optimize model deployment for real-time use, ensuring low latency in video processing and accurate detection of masked and unmasked individuals. Apply the developed system in real-world scenarios such as public spaces, hospitals, airports, and workplaces to enhance safety and compliance monitoring. Requirements Basic understanding of Python programming (helpful but not mandatory). A laptop or desktop computer with internet access [Windows OS with Minimum 4GB of RAM). No prior knowledge of AI or Machine Learning is required-this course is beginner-friendly. Enthusiasm to learn and build practical projects using AI and IoT tools. [b]Description[/b] Welcome to the AI-Powered Face Mask Detection System with YOLOv11 and Tkinter! In this hands-on course, you'll learn how to build a real-time face mask detection system using the powerful YOLOv11 model for face mask classification and a Tkinter-based web framework for live video streaming and visualization.This course focuses on leveraging YOLOv11 for detecting individuals wearing or not wearing masks and integrating a real-time video stream using Tkinter. By the end of the course, you'll have developed a complete system that provides live face mask detection, accessible through an interactive GUI.What You'll Learn:● Set up your Python development environment and install essential libraries like OpenCV, Tkinter, YOLOv11, and supporting tools.● Use the pre-trained YOLOv11 model to detect individuals and classify their mask-wearing status in real-time.● Preprocess video streams and images to enhance model performance, ensuring accurate detection across different lighting conditions and facial orientations.● Design and implement a desktop application using Tkinter to visualize detection results, displaying live annotations and classification labels.● Optimize detection accuracy by handling challenges such as partial occlusions, face angles, and environmental variations.● Improve real-time performance for fast and efficient processing of live video streams.● Deploy the system for use in various applications such as workplace safety monitoring, public health compliance, and smart surveillance.Enroll today and start building your Real-Time Mask Detection: How AI Helps Enforce Safety Measures ! Overview Section 1: Introduction to Face Mask Detection and Recognition Lecture 1 Course Introduction and Features Section 2: Environment Setup for Python Development Lecture 2 Installing Python Lecture 3 VS Code Setup for Python Development Section 3: Face Mask Detection System Project Overview Lecture 4 Face Mask Detection Section 4: Google Drive Mount Lecture 5 Google Drive Mount Section 5: Face Mask Detection Dataset Download Lecture 6 Face Mask Detection Dataset Download Section 6: Dataset Visualization Lecture 7 Dataset Visualization Section 7: Ultralytics Installation & Setting Up YOLOv11 for Mask Detection Lecture 8 Ultralytics Installation & Setting Up YOLOv11 for Mask Detection Section 8: YOLOv11 Model Training for Mask Detection Lecture 9 YOLOv11 Model Training for Mask Detection Section 9: Packages Explanation Lecture 10 Packages Explanation Section 10: Model Inference Code Explanation Lecture 11 Model Inference Code Explanation Section 11: Tkinter Implementation Lecture 12 Tkinter Implementation Section 12: Code Execution Lecture 13 Code Execution Section 13: Wrapping Up Lecture 14 Course Wrap-Up Students looking to dive into AI and learn practical applications in Face Mask Detection using the pre-trained YOLOv11 model and computer vision techniques.,Working professionals wanting to upskill in AI, Machine Learning, and Python programming for real-world applications in health and safety compliance.,IoT enthusiasts who want to integrate AI-powered face mask detection into smart surveillance and IoT-based monitoring systems.,Aspiring developers aiming to build a career in AI, machine learning, or computer vision by working on real-time detection and monitoring projects. 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Raster Data Processing And Analysis With Arcgis Pro Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.07 GB | Duration: 1h 19m Master raster data management What you'll learn You will understand the structure of raster data You will be able to analyze digital terrain models You will be able to assign coordinate information to scanned sheets. You will be able to edit the appearance of raster data with symbology tools With conditional toolset, you will be able to define various conditions for the data and control the data. You will be able to perform statistical analysis using pixel values of raster data. Requirements You must have ArcGIS Pro software. You can use the trial version if necessary. You must have basic knowledge of Geographic Information Systems. Description With this course, you will specialize in managing raster data. In my basic level training, we mainly used vector data, that is, data in point, line and polygon formats. Raster data, which forms the basis of Geographic Information System studies together with vector data, is very important for geographical analyses.With this course, which is a continuation of the Basic Level Training, you will understand the structure of raster data, prepare them for your analyses and analyze them using various tools. In addition, this course will be very useful for you to understand why you are doing what you are doing.In addition, since aerial photographs and satellite images are also in raster format, understanding the structure of raster data will be very useful in remote sensing studies.Within the scope of the training, you will have information on the following topics;- Definition of raster data, structure, raster data types, different formats, sample raster data- Introduction to digital terrain model, difference from digital surface model, examination on map- Assigning coordinate information to printed sheets in digital environment with geo-referencing and displaying in correct position- General information about contour lines, generation of contour lines from digital terrain model- Definition and structure of TIN data, generation of TIN data using contour lines- Production of maps representing terrain surface such as slope and aspect using digital terrain model- Defining various conditions to raster data with conditional analyses and checking the data according to these conditions- Various statistical analyses using pixel values of raster data with Focal Statistics and other tools Overview Section 1: Introduction Lecture 1 Fundamentals of Raster Data Lecture 2 Introduction to Digital Terrain Models Lecture 3 Import and Export Raster Data Section 2: Visualize Raster Data Lecture 4 Symbology Tools Section 3: Georeferencing Lecture 5 Assign Coordinate Information to Scanned Map Section 4: Raster Data Processing Lecture 6 Resampling Lecture 7 Reclassification Lecture 8 Clip Raster Lecture 9 Raster Calculator Lecture 10 Raster to Polygon Lecture 11 Mosaic to New Raster Lecture 12 Extract Values to Points Lecture 13 Contour Lecture 14 TIN Section 5: Raster Data Analysis Lecture 15 Surface Analysis - 1 (Slope, Aspect, Hillshade) Lecture 16 Surface Analysis - 2 (Curvature, Viewshed) Lecture 17 Con (Conditional Toolset) Lecture 18 Set Null (Conditional Toolset) Lecture 19 Pick (Conditional Toolset) Lecture 20 Cell Statistics Lecture 21 Focal Statistics Lecture 22 Zonal Statistics Lecture 23 Zonal Statistics - 2 Geography and Urban and Regional Planning, Architecture, Map - Construction - Forestry - Mining - Geology - Environmental Engineering students DDownload https://ddownload.com/t089wpo3m1dr/yxusj.Raster.Data.Processing.and.Analysis.with.ArcGIS.Pro.part1.rar https://ddownload.com/vfxarknfc8rz/yxusj.Raster.Data.Processing.and.Analysis.with.ArcGIS.Pro.part2.rar RapidGator https://rapidgator.net/file/60f6a49d43160707ac21c0e9f9121772/yxusj.Raster.Data.Processing.and.Analysis.with.ArcGIS.Pro.part1.rar https://rapidgator.net/file/257c8a4d4ed383a411c67bc0f62dc123/yxusj.Raster.Data.Processing.and.Analysis.with.ArcGIS.Pro.part2.rar NitroFlare https://nitroflare.com/view/0CDA1BF56A0C20A/yxusj.Raster.Data.Processing.and.Analysis.with.ArcGIS.Pro.part1.rar https://nitroflare.com/view/B14D1828465E0CB/yxusj.Raster.Data.Processing.and.Analysis.with.ArcGIS.Pro.part2.rar

Quora Ads For Amazon Kdp Self Publishing Published 4/2023 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 2.47 GB | Duration: 4h 24m Learn How To Become An Amazon KDP Best Seller And Sell More Paperback Books And Kindle Ebooks With Quora Traffic Tactics What you'll learn Sell more Kindle, Audio and paperback books than before! This course pays for itself! Become a bestselling author on Amazon KDP and other Self publishing platforms in 2023 Discover more Amazon KDP alternatives that you can self publish on and make more money Improve your personal brand and authority as a thought leader in your niche Master QUORA traffic generation tactics and use it to grow your brand Drive laser targeted traffic to your books using free & paid traffic from QUORA Learn how to reduce your AD spend budget and get cheap laser targeted traffic from tier 1 countries Understand the different QUORA AD formats, how they work and how to choose the best one for your KDP Book AD Campaign Learn how to create and optimize your Quora AD campaign for better ROI (return on investment). Learn how to do proper research to enable you find the right keywords, questions,topics, interests & behaviors to target in your AD campaign Requirements A strong desire to learn the how to sell more books and make more money as a self published author, that's all you need. Description Welcome to "Quora ADS for AMAZON KDP Self-Publishing," the ultimate course that will teach you how to skyrocket your book sales on Amazon Kindle and other self-publishing platforms by leveraging the power of Quora's free and paid traffic.How Beneficial Is This Book To Self Published Authors?If you're a self-published author, you know how difficult it can be to get your book in front of potential readers. The market is competitive, and without the right marketing strategies, your book can easily get lost in the sea of other books available online. That's why this course is essential for anyone who wants to maximize their sales potential and make their book stand out.With "Quora ADS for AMAZON KDP Self-Publishing," you'll learn everything you need to know about using Quora's advertising platform to drive more traffic to your book's Amazon page, increase your book's visibility, and boost your sales.This course is designed for both beginners and advanced users who are looking to improve their book sales. We'll start with the basics, including setting up your Quora Ads account, creating effective ads, and targeting your ideal audience. We'll also cover advanced topics like retargeting, ad optimization, and budget management.In addition to Quora's advertising platform, we'll also explore how to use Quora's organic traffic to promote your book for free. You'll learn how to create engaging content that appeals to Quora's active user base, how to promote your book without coming across as spammy, and how to build a loyal following of readers who are eager to buy your next book.Here's what you can expect to learn in this course:The A-Z of Quora Ads and how to set up your accountHow to select the best QUORA AD format for your Amazon KDP book AD campaignHow to find the best Keywords, Questions, Interest, Behaviors & Topics to target in your Quora AD campaigns.How to create effective ads that drive traffic to your book's Amazon pageHow to target your ideal audience and optimize your ads for maximum ROIHow to retarget your audience and increase your conversion ratesHow to use Quora's organic traffic to promote your book for freeHow to create engaging content that resonates with Quora's usersHow to build a loyal following of readers who are eager to buy your next bookHow to find the best Amazon KDP Aternatives to self publish your books onHow to track your progress and analyze your results and lot's moreBy the end of this course, you'll have the knowledge and skills to use Quora's free and paid traffic to increase your book sales on Amazon Kindle and other self-publishing platforms. You'll be able to create effective ads that target your ideal audience, drive more traffic to your book's Amazon page, and ultimately increase your sales.Enroll now and take the first step towards becoming a successful self-published author!Responsive & Caring Instructor: 24/7 Student SupportNeed help with self-publishing, Kindle KDP, or book marketing? Look no further! I am always here to assist and answer any questions you may have. Rest assured that 99% of questions from students are answered within 24 hours. I genuinely care about my students and feel responsible for ensuring they get their money's worth from the course.Certificate Of Completion When You Complete Kdp Book Marketing CourseWhen you complete 100% of the videos in this Quora Ads For Amazon Kindle Self-Publishing course, you will be emailed a certificate of completion by Udemy so you can show it as proof of your self-publishing and book marketing expertise, and that you have completed a certain number of hours of instruction in book marketing and Amazon Kindle (KDP) sales.Iron Clad Money-back GuaranteeThis Quora Ads For Amazon Kindle Self-Publishing course comes with an unconditional, Udemy-backed, 30-day money-back guarantee. This isn't just a guarantee, it's a promise from me to you that I will go out of my way to help you succeed with your self published book marketing just like I've done for thousands of my other students who have taken or or more of my other courses.Your success is my priority.A Little About MeI'm a successful self-published author with several best selling books on Amazon KDP, and other self publishing book platforms. Book publishing is a side hustle for me, as i also have my hands on other things like Email Marketing, Digital Marketing & Web Development, and i have courses on all these subjects right here on Udemy. I have been an online entrepreneur for 10+ years now, and i have been fortunate to mentor and guide over 700+ students in persons and tutored over 5000+ students online to make their mark on the digital space, and i would love to achieve same results with you. Something Extra For You* Access to over 150 Premium Digital Marketing & SEO Tools That You Can Use For FREE!* Access to over 300,000 well written & SEO optimized articles in over 50 different niches that you can use for your website, or resell and keep all the profits and lot's more.Invest in your future. Enroll now, take your book marketing to the next level, and sell more KINDLE ebooks with Quora traffic tactics. Overview Section 1: MODULE 1: Introduction Lecture 1 Module 1 Video 1: Welcome Video, What Students Will Learn. Lecture 2 Module 1 Video 2: About Quora Lecture 3 Module 1 Video 3: Amazing Statistics About QUORA For Amazon Kindle Publishing Section 2: MODULE 2: Getting Started With QUORA Lecture 4 Module 2 Video 1: Quora Account Creation Lecture 5 Module 2 Video 2: QUORA AD Account Setup Lecture 6 Module 2 Video 3: Quora AD Best Practices Section 3: MODULE 3 Quora ADS Setup Lecture 7 Module 3 Video 1: Structure Of A Quora ADS Campaign Lecture 8 Module 3 Video 2: Types Of QUORA AD Objective Lecture 9 Module 3 Video 3: Quora AD Targeting Lecture 10 Module 3 Video 4: Quora AD Formats Section 4: MODULE 4: Research & Campaign Creation Lecture 11 Module 4 Video 1: Research Process Lecture 12 Module 4 Video 2: Requirements Needed To Setup A Campaign Lecture 13 Module 4 Video 3: Creating Contents For Your Landing Page Lecture 14 Module 4 Video 4: How To Create A Campaign Lecture 15 Module 4 Video 5: How To Duplicate An ADSET Or An AD Section 5: MODULE 5: Additional Lectures Lecture 16 Module 5 Video 1: Quora Profile Optimization Lecture 17 Module 5 Video 2: How To Monetize Your Contents On QUORA & Earn From It Lecture 18 Module 5 Video 3: How To Use Free Traffic From Quora To Sell Your Books Lecture 19 Module 5 Video 4: Best Amazon KDP Alternatives Lecture 20 Module 5 Video 5: How To Request For An Additional QUORA AD Account Self Published Authors,Entrepreneurs looking for more ways to make money from home,Professionals who want to improve their knowledge and authority in a field or niche DDownload https://ddownload.com/d0k0r7r5o1a7/yxusj.Quora.ADS.For.AMAZON.KDP.Self.Publishing.part1.rar https://ddownload.com/1r9noyuu9rhe/yxusj.Quora.ADS.For.AMAZON.KDP.Self.Publishing.part2.rar https://ddownload.com/m2iotjhzgksf/yxusj.Quora.ADS.For.AMAZON.KDP.Self.Publishing.part3.rar RapidGator https://rapidgator.net/file/1abd15cc32b6b92debe53509f99d41a7/yxusj.Quora.ADS.For.AMAZON.KDP.Self.Publishing.part1.rar https://rapidgator.net/file/f51bbdd87f590b9eb6f85560978172af/yxusj.Quora.ADS.For.AMAZON.KDP.Self.Publishing.part2.rar https://rapidgator.net/file/e5cc72455a7bd4f6280e78d565cd8ccb/yxusj.Quora.ADS.For.AMAZON.KDP.Self.Publishing.part3.rar NitroFlare https://nitroflare.com/view/4BF0B8929AB86BA/yxusj.Quora.ADS.For.AMAZON.KDP.Self.Publishing.part1.rar https://nitroflare.com/view/6FB40672A571CE4/yxusj.Quora.ADS.For.AMAZON.KDP.Self.Publishing.part2.rar https://nitroflare.com/view/5209DE722DB725C/yxusj.Quora.ADS.For.AMAZON.KDP.Self.Publishing.part3.rar

R For Data Management: From Chaos To Clarity Published 5/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 623.16 MB | Duration: 1h 44m Clean, shape, and tame your data-no coding experience needed. What you'll learn The learner will navigate the RStudio environment to execute basic commands and scripts. The learner will import, explore, and manipulate data using data frames, including subsetting, filtering, and basic transformations. The learner will write and debug simple R scripts, using variables, functions, and control structures to perform data analysis tasks. The learner will apply foundational R skills to complete coding and debugging assignments that reinforce core concepts in data handling. Requirements This is an introductory course designed for students with no prior programming experience. You'll learn the foundational tools and concepts of R from the ground up, and we'll walk through common mistakes and challenges that beginners typically face-ensuring that confusing topics are clarified with step-by-step examples and practice. Description Welcome to R for Data Management: From Chaos to Clarity-an introductory course designed to help you build foundational skills in R without requiring any prior programming experience. If you've ever felt overwhelmed by messy spreadsheets, struggled to organize your data, or hesitated to dive into coding, this course is for you. In this hands-on course, you'll learn how to install R and RStudio, navigate the RMarkdown environment, and confidently load and inspect your data. We'll cover common file types like .csv and walk you through best practices for setting up your workspace. From there, you'll explore key concepts in data structure, such as wide vs. long formats, and practice reshaping your data to suit analytical needs. You'll also develop the skills to manipulate variables, adjust data types, and compute simple summaries to prepare your dataset for analysis. Each module features engaging video walkthroughs, guided coding sessions, and practical assignments-including debugging challenges to help you spot and fix common errors early. By the end of the course, you'll not only understand the core mechanics of data management in R, but you'll also have the confidence to begin your journey into more advanced analytics. Let's turn data chaos into clarity-one line of code at a time. Overview Section 1: Welcome Lecture 1 Course Format & Curriculum Lecture 2 Overview Lecture 3 Getting Started with R & R Studio Lecture 4 File Structures Section 2: RMarkdown & Loading Libraries Lecture 5 Overview Lecture 6 Beginning with RMarkdown Lecture 7 Loading Libraries Section 3: Reading Data Frames Lecture 8 Overview Lecture 9 Reading Data Frames Section 4: Data Frame Manipulation Lecture 10 Overview Lecture 11 Wide to Long Data Formats Section 5: Manipulating Variables Lecture 12 Overview Lecture 13 Manipulating Variables Section 6: Learner Feedback Beginner R users seeking to develop foundational data management skills essential for advancing in R.,Ideal for newcomers to R, this course offers a hands-on, supportive introduction to data management skills that will set you up for success in more advanced data analysis and programming. DDownload https://ddownload.com/evfnw58sj6rj/yxusj.R.for.Data.Management.From.Chaos.to.Clarity.rar RapidGator https://rapidgator.net/file/31bab27db1c7e7950efa4c3335f94132/yxusj.R.for.Data.Management.From.Chaos.to.Clarity.rar NitroFlare https://nitroflare.com/view/37BD38235DF4F82/yxusj.R.for.Data.Management.From.Chaos.to.Clarity.rar

Quantity Estimation Till Grey Structure Civil Engineering Published 5/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.63 GB | Duration: 5h 55m Master quantity estimation techniques till grey structures in civil engineering What you'll learn You will be able to estimate material quantities for the grey structure. You will be able to prepare accurate BOQs for construction projects. You will be able to analyze drawings for quantity estimation. You will be able to optimize costs by minimizing material waste. Requirements No prior experience required! This course is designed for both beginners and professionals. However, a basic understanding of construction drawings and materials can be helpful. You will need access to a computer with MS Excel or any quantity estimation software. Enthusiasm for learning and attention to detail are the only real prerequisites! Description This course is designed for civil engineers, students, and construction professionals looking to master quantity estimation for grey structures. Accurate quantity estimation is a crucial skill in civil engineering, as it directly impacts project costs, material procurement, and overall project planning. By mastering these skills, you can minimize waste, optimize budgets, and improve project efficiency.In this course, you will learn how to calculate materials, estimate the costs, and prepare accurate Bills of Quantities (BOQs) using industry-standard methods. We will cover essential topics such as material takeoff, cost analysis, and estimation techniques for grey structures, including foundations, columns, beams, slabs, and walls. You will also explore real-world case studies to understand practical applications of quantity estimation in construction projects.With hands-on examples, practical exercises, and step-by-step guidance, this course ensures that you gain the expertise needed to excel in construction cost estimation. Whether you're a student just starting your civil engineering journey or an experienced professional looking to refine your estimation skills, this course will provide valuable insights and practical knowledge.By the end of the course, you will be able to confidently perform quantity estimations, create BOQs, and contribute to effective project planning and budgeting in the construction industry. Overview Section 1: Course Introduction Lecture 1 Introduction to Course Lecture 2 Residential Building Drawing Essentials Lecture 3 Preparation of Excel Sheet Part-1 Lecture 4 Preparation of Excel Sheet Part-2 Section 2: Substructure Works Lecture 5 Foundation Excavation Lecture 6 Plain Cement Concrete (PCC) Calculation Lecture 7 Foundation Calculation Lecture 8 Foundation Reinforcement Estimation Lecture 9 Foundation Brickwork Estimation Lecture 10 Plinth Beam Concrete Calculation Lecture 11 Plinth Beam Reinforcement Estimation Lecture 12 Material Estimation: Cement, Aggregates & Bricks for Plinth Beam Section 3: Superstructure Works Lecture 13 Column Concrete Estimation Lecture 14 Column Reinforcement Estimation Lecture 15 Brickwork Estimation Upto Ground Floor Lecture 16 Lintel Beam Concrete Estimation Lecture 17 Lintel Beam Reinforcement Estimation Lecture 18 Beam Concrete Estimation Lecture 19 Beam Reinforcement Estimation Lecture 20 Slab Concrete Estimation Lecture 21 Slab Reinforcement Estimation QUANTITY ESTIMATORS, BAR BENDERS, CIVIL ENGINEERS, STRUCTURAL ENGINEERS, PLANNING ENGINEERS, QUANTITY SURVEYORS , PROCUREMENT ENGINEERS,EXCEL LEARNERS DDownload https://ddownload.com/zm3ecjn7yztj/yxusj.Quantity.Estimation.till.Grey.Structure.Civil.Engineering.part1.rar https://ddownload.com/p284tgi4mrfz/yxusj.Quantity.Estimation.till.Grey.Structure.Civil.Engineering.part2.rar https://ddownload.com/i9y0m1dml8g3/yxusj.Quantity.Estimation.till.Grey.Structure.Civil.Engineering.part3.rar https://ddownload.com/uueopsy1kpn5/yxusj.Quantity.Estimation.till.Grey.Structure.Civil.Engineering.part4.rar RapidGator https://rapidgator.net/file/2b30e2dfad2fe32c1d8b36323cf2bf73/yxusj.Quantity.Estimation.till.Grey.Structure.Civil.Engineering.part1.rar https://rapidgator.net/file/e2b6458dd5b426b38d98f536f56545c1/yxusj.Quantity.Estimation.till.Grey.Structure.Civil.Engineering.part2.rar https://rapidgator.net/file/01804f3b299fc7949f2f3896c1a16eb0/yxusj.Quantity.Estimation.till.Grey.Structure.Civil.Engineering.part3.rar https://rapidgator.net/file/0e10e19b62dfa7a6fc4655cc39cd7fec/yxusj.Quantity.Estimation.till.Grey.Structure.Civil.Engineering.part4.rar NitroFlare https://nitroflare.com/view/5B7893113EC86AD/yxusj.Quantity.Estimation.till.Grey.Structure.Civil.Engineering.part1.rar https://nitroflare.com/view/828D9D22575D151/yxusj.Quantity.Estimation.till.Grey.Structure.Civil.Engineering.part2.rar https://nitroflare.com/view/A603DFB99803216/yxusj.Quantity.Estimation.till.Grey.Structure.Civil.Engineering.part3.rar https://nitroflare.com/view/B32893D18245BCC/yxusj.Quantity.Estimation.till.Grey.Structure.Civil.Engineering.part4.rar

Qualitative Research In Business And Management Published 5/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 4.30 GB | Duration: 7h 15m Qualitative Research Research Methods What you'll learn To provide a comprehensive introduction to qualitative research methodologies and their theoretical foundations To develop practical skills in various qualitative data collection techniques To build competence in analyzing and interpreting qualitative data To cultivate effective academic writing skills for presenting qualitative research findings Requirements Some basic research methods knowledge or an introductory research course Possibly undergraduate-level academic writing skills Description Qualitative Research MethodsThis comprehensive course introduces the theory and practice of qualitative research methodologies. Students will explore the philosophical foundations and fundamental concepts underpinning qualitative inquiry while developing practical skills essential for rigorous research.The curriculum progresses through key areas including research design, ethical considerations, and various methodological approaches with special emphasis on case study research. Students will gain hands-on experience with data collection techniques including interviews, participant observation, fieldwork, and document analysis.The course examines analytical frameworks such as hermeneutics and narrative analysis, enabling students to transform raw qualitative data into meaningful insights. Particular attention is given to maintaining methodological integrity throughout the research process.The final component focuses on effectively communicating research findings through academic writing and publication. This course is ideal for graduate students and professionals seeking to develop qualitative research competencies for academic or applied settings.By completion, participants will possess the theoretical knowledge and practical tools to design, conduct, analyze, and publish qualitative research of scholarly merit.Weekly seminars will include critical discussions of exemplary qualitative studies, peer feedback on developing research proposals, and practical workshops addressing common challenges in qualitative inquiry. Students will benefit from individualized guidance on their unique research interests while building a supportive community of qualitative researchers. Overview Section 1: Introduction Lecture 1 Overview of Qualitative Research Section 2: Fundamental Concepts of Qualitative Research Lecture 2 2: Overview of Qualitative Research Section 3: Fundamental Concepts of Qualitative Research Lecture 3 Qualitative Research Design Section 4: Crafting and Writing your Research Problem Lecture 4 Writing a Research Problem Section 5: Fundamental Concepts of Qualitative Research Lecture 5 Philosophical Perspectives Section 6: Qualitative Research Methods Lecture 6 Case Study Research Section 7: Qualitative and Quantitative Research Methods_A combined Approach Lecture 7 Mixed Methods Research Design Approaches Section 8: Qualitative Data Collection Techniques Lecture 8 Sampling in Qualitative Research Section 9: Qualitative Data Collection Methods-Interviews Lecture 9 Interviews Section 10: Qualitative Data Collection Methods-Documents Lecture 10 Using Documents Section 11: Qualitative Data Collection Methods-Observation Lecture 11 Participant Observation and Field Work Section 12: Qualitative Data Analysis-Coding Lecture 12 Coding Section 13: Qualitative Data Analysis-Hermenuetics Lecture 13 Hermeneutics Graduate students (Master's or PhD level) in social sciences, education, psychology, anthropology, or related fields,Researchers looking to develop or strengthen their qualitative research skills,Professionals in fields that utilize qualitative approaches (Information systems, healthcare, market research, program evaluation),Students preparing to conduct qualitative research for their thesis or dissertation DDownload https://ddownload.com/h0pux12e34l2/yxusj.Qualitative.Research.in.Business.and.Management.part1.rar https://ddownload.com/44vediaw24a9/yxusj.Qualitative.Research.in.Business.and.Management.part2.rar https://ddownload.com/7h4zrnro1hcp/yxusj.Qualitative.Research.in.Business.and.Management.part3.rar RapidGator https://rapidgator.net/file/905b3165e470cdfc9749e504f18c9932/yxusj.Qualitative.Research.in.Business.and.Management.part1.rar https://rapidgator.net/file/b481a43fd50fab8ba8439e152e77d6f3/yxusj.Qualitative.Research.in.Business.and.Management.part2.rar https://rapidgator.net/file/3a561053f4d1466567179dda5bbdc43e/yxusj.Qualitative.Research.in.Business.and.Management.part3.rar NitroFlare https://nitroflare.com/view/74BFB8F4C2ABD85/yxusj.Qualitative.Research.in.Business.and.Management.part1.rar https://nitroflare.com/view/DB06CE8B23B32A9/yxusj.Qualitative.Research.in.Business.and.Management.part2.rar https://nitroflare.com/view/CABB146EA04C819/yxusj.Qualitative.Research.in.Business.and.Management.part3.rar

Quantum Machine Learning By Doing Published 5/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 247.41 MB | Duration: 2h 13m Learn Quantum Machine Learning by Solving Real-World Problems, Earn QML Certification What you'll learn Understand how quantum computers work and what makes them different from classical computers. Understand how quantum circuits modify the quantum states to perform useful computation. Discover the transformative benefits of quantum computing for different applications. Learn the fundamental building blocks of quantum machine learning. Understand the fundamentals of quantum neural networks and how to optimize their design for real-world applications. Learn advanced quantum machine learning algorithms for tasks such as regression, classification, image processing, segmentation, and neural network compression. Apply quantum machine learning algorithms to real-world, state-of-the-art applications. Gain exclusive access to Ingenii's Python library for visualizing quantum algorithms and optimizing quantum models. Develop your skills through hands-on exercises, assessments, and projects that put theory into practice. Over 20 hours of content and hands-on Python exercises. Requirements No physics knowledge required. No quantum computing knowledge required. Some programming experience needed for hands-on Python exercises. A basic understanding of machine learning concepts is recommended. Description This hands-on introductory course is designed to bridge the gap between classical machine learning and quantum computing, empowering you with the tools, theory, and practical insights to begin your journey into quantum machine learning (QML). Whether you're a curious learner, a data scientist, or a researcher exploring cutting-edge technologies, this course will guide you through the fundamental concepts of QML and how they can be applied to real-world problems.Through a combination of visualizations, interactive exercises, and hands-on assessments, you'll learn how quantum circuits perform computations, explore foundational quantum algorithms, and discover how quantum algorithms can be optimized for real-world applications such as classification, regression, image processing, and segmentation.You'll also gain exclusive access to Ingenii's Python library for visualizing and optimizing quantum algorithms-designed to make quantum development more intuitive and accessible. By the end of the course, you'll have a solid understanding of quantum machine learning fundamentals and the skills to apply them to practical, impactful challenges.Expanding on our original QML Fundamentals and Medical Imaging courses, and inspired by the learning methods in our upcoming Quantum Hub development resource, this Udemy course combines six, in-depth, application-focused chapters into a complete introductory QML course.Join over 600 data scientists, students, and educators who have already started their Quantum Machine Learning journey. Overview Section 1: Introduction to Quantum Machine Learning: Key Concepts & Applications (20+ Mins) Lecture 1 Introduction Lecture 2 Why quantum? Lecture 3 What is a quantum computer? Lecture 4 The power of qubits. Lecture 5 Classical and quantum computers solve different problems. Part I Lecture 6 Classical and quantum computers solve different problems. Part II Lecture 7 Applications of quantum computing Lecture 8 Timelines for quantum computing. Part I Lecture 9 Timelines for quantum computing. Part II Section 2: Understanding Qubits: The Building Blocks of Quantum Computing (90+ Mins) Lecture 10 Introduction Lecture 11 Bits Lecture 12 Qubits. Part I Lecture 13 Qubits. Part II Lecture 14 Measurements. Part I Lecture 15 Measurements. Part II Lecture 16 Superposition. Part I Lecture 17 Superposition. Part II Lecture 18 Entanglement. Part I Lecture 19 Entanglement. Part II Lecture 20 Visualizing multiple-qubit states Section 3: Quantum Circuits Explained: Designing and Running Quantum Algorithms (150+ Mins) Lecture 21 Introduction Lecture 22 Quantum computing paradigms Lecture 23 Where do I run my quantum algorithms? Lecture 24 Circuit visualizations Lecture 25 The X gate. Part I Lecture 26 The X gate. Part II Lecture 27 The Z gate. Part I Lecture 28 The Z gate. Part II Lecture 29 The Y gate. Part I Lecture 30 The Y gate. Part II Lecture 31 The Hadamard gate. Part I Lecture 32 The Hadamard gate. Part II Lecture 33 Arbitrary Rotations. Part I Lecture 34 Arbitrary Rotations. Part II Lecture 35 Controlled Operations and the CNOT Gate. Part I Lecture 36 Controlled Operations and the CNOT Gate. Part II Lecture 37 Complexity of quantum circuits Lecture 38 Your first quantum algorithm Section 4: QNNs & The Future of AI/ML (180+ Mins) Lecture 39 Introduction Lecture 40 What is QML? Lecture 41 Transformative benefits of QML Lecture 42 Future advantages of QML Lecture 43 Current advantages of QML Lecture 44 Introduction to Quantum Neural Networks Lecture 45 Data Encoding Lecture 46 Variational Circuits Lecture 47 Optimization Process Lecture 48 Entangling Capacity & Expressability Lecture 49 Building a quantum neural network Section 5: Quantum Image Processing (240+ Mins) Lecture 50 Introduction Lecture 51 Unsupervised pipeline for medical imaging segmentation Lecture 52 Challenges for AI models Lecture 53 Potential use cases of quantum algorithms Lecture 54 Quantum Hadamard Edge Detection Lecture 55 Quantum Reservoirs for Image Processing Lecture 56 Quantum-Inspired Filters Section 6: Quantum Image Classification & Segmentation (520+ Mins) Lecture 57 Introduction Lecture 58 Image Classification with Tensor Networks Lecture 59 Neural network compression Lecture 60 Image Segmentation as a QUBO Problem Lecture 61 Optimization algorithms for QUBO problems Curious minds eager to explore the intersection of quantum computing and machine learning.,Scientists and engineers looking to apply quantum concepts to practical, real-world problems.,Data and machine learning scientists interested in adding quantum computing to their skillset.,Innovators and researchers exploring early, impactful applications of quantum technologies across industries.,Learners who are looking for a hands-on, applied introduction to quantum machine learning. 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Quantum Entanglement In Love And Relationships Published 5/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.38 GB | Duration: 0h 33m Let us understand Quantum Entanglement and its metaphorical relationship with Energy Healing, Coincidences, Connections What you'll learn Familiarity with Quantum Entanglement Familiarity with Energy Healing Coincidences And Telepathy In Context of Quantum Entanglement Relationships and Healing In Context of Quantum Entanglement Requirements Basic English Description Let us explores connections between quantum entanglement and various aspects of human experience:Energy Healing:1. Non-local connections: Entanglement's instantaneous influence might mirror energy healing's non-physical, distant interactions.2. Interconnectedness: Suggests a deeper, holistic understanding of energy and consciousness.Coincidences:Connections:1. Entangled connections: Coincidences might reflect underlying, non-local connections between events or people.2. Meaningful correlations: Entanglement's correlations could inspire new perspectives on synchronicities.Relationships:1. Entangled bonds: Relationships might involve non-local, emotional connections, transcending physical distance.2. Interconnectedness: Highlights the intricate web of relationships and emotions.This perspective:1. Challenges conventional thinking: Encourages exploration of non-physical connections.2. Inspires holistic understanding: Suggests interconnectedness beyond physical realm.Keep in mind that these connections are speculative and metaphorical, drawing inspiration from quantum mechanics to understand complex human experiences. There is no scientific evidence of the connection between energy healing, human relationships and concepts of quantum entanglement.As an example, the metaphorical connection between quantum entanglement and human relationships is fascinating. The idea of distant particles influencing each other instantaneously can be seen as a parallel to the inexplicable connections people experience in relationships, such as:1. Synchronicities (e.g., thinking of someone before they call)2. Empathy and emotional resonance3. Intuition and gut feelingsThis perspective can inspire new ways of thinking about human connections, highlighting the intricate web of relationships and emotions that bind us. While not a direct scientific correlation, the analogy can spark interesting discussions about the nature of connection and consciousness. Overview Section 1: Quantum Entanglement Lecture 1 What is Quantum Entanglement Lecture 2 The Mystery Lecture 3 What is Energy Healing Lecture 4 Quantum Entanglement And Healing Lecture 5 Coincidences In Life Lecture 6 Manifestation Lecture 7 Quantum Teleportation Lecture 8 Disclaimer Curious about spirituality, energy healing and its metaphorical explanation in context of quantum entanglement DDownload https://ddownload.com/zrikuo9nrvm2/yxusj.Quantum.Entanglement.In.Love.And.Relationships.part1.rar https://ddownload.com/txjchkwoo8uz/yxusj.Quantum.Entanglement.In.Love.And.Relationships.part2.rar RapidGator https://rapidgator.net/file/0a85746d47eb1d305b92a30fd18305e4/yxusj.Quantum.Entanglement.In.Love.And.Relationships.part1.rar https://rapidgator.net/file/12ca73ab0901dc6c5bdbccb99a00d4a7/yxusj.Quantum.Entanglement.In.Love.And.Relationships.part2.rar NitroFlare https://nitroflare.com/view/3E8FDD97A7C909A/yxusj.Quantum.Entanglement.In.Love.And.Relationships.part1.rar https://nitroflare.com/view/E61D5967DE3456F/yxusj.Quantum.Entanglement.In.Love.And.Relationships.part2.rar

Macroeconomics: A Complete Economics Course for Everyone 2025-03-03 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English (US) | Size: 29.24 GB | Duration: 13h 1m A Course Designed to Give You a Better Understanding of the World Around You-Perfect for University and Adult Learners! What you'll learn A love of Economics that I hope is contagious! This Course is an Ideal Companion to any Introductory Economics Class in the World! A thorough understanding of the main principles of Macroeconomics A thorough understanding of Gross Domestic Product and the ways we measure Economic Growth A thorough understanding of Low and Stable Rate of Inflation A thorough understanding of Low Unemployment A thorough understanding of Economic Growth A thorough understanding of Equity in the Distribution of Income A thorough understanding of Fiscal and Monetary Policy A thorough understanding of Demand-Side and Supply-Side Management Policies A better understanding of Global Politics - as Economics is the backbone of all political thought Requirements Just a curious mind and an interest in the world around you! Description Hi, I'm Brad, and I'm excited that you are interested in diving into the fascinating world of Macroeconomics together.Macroeconomics is about understanding the big picture-how entire economies function, why policies succeed or fail, and how global forces shape our lives. It's the study of human behavior on a grand scale, and through this course, I hope to share my passion for economics in a way that's engaging, practical, and easy to understand.This course includes over 85 video lessons and downloadable notes, covering topics like:An Introduction to MacroeconomicsGross National Product and Other Economic MeasuresAggregate Demand and Aggregate SupplyMacroeconomic EquilibriumLow UnemploymentLow and Stable Rate of InflationEconomic GrowthEquity in the Distribution of IncomeFiscal and Monetary PolicySupply-Side PoliciesI teach economics because it's endlessly fascinating-it's the study of people, their stories, and the societal forces we live in. Economics isn't just about charts and numbers. It's about understanding ourselves, our choices, and the systems that shape our world. I genuinely believe that a deep understanding of economics can help us better understand the human condition, and I'm thrilled to help you discover that for yourself.A Weekly BonusAs part of this course, you'll receive a subscription to my weekly newsletter, Just One Thing. Each Monday, you'll get a two-minute breakdown of one essential economic concept, delivered straight to your inbox. It's a quick and stress-free way to expand your understanding of economics, one idea at a time.I've been lucky to see the world through a unique lens-as a former Peace Corps Volunteer, a graduate of Duke University, and someone who has traveled to over 55 countries. These experiences deeply influence how I teach economics, with real-world examples, a global perspective, and a passion for making these concepts relatable to everyone.Let's dive into the exciting world of macroeconomics together-I'd love to join on your journey. Who this course is for: All people of all ages interested learning about the Economics, IB Economics Students, University Students, AP Economics Students, A-Level Economics Students, And ESPECIALLY adults who had a horrible Economics teacher in university! 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Investing Mastery: Stocks, ETFs, Crypto, BTC, REITs & Gold Published 5/2024 Duration: 27h12m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 23 MB Genre: eLearning | Language: English Learn: Stock market trading, ETFs, cryptocurrencies, real estate, commodities, stocks, bonds, P2P lending, art, AI algos What you'll learn Understanding the risks and necessities of investing: Why not investing can be riskier than investing. Basics for entering the stock market: Preparations, common mistakes, and realistic expectations. In-depth insight into the world of stocks, stock market, ETFs, Understanding the role of central banks FED & ECB and their monetary policy and interest rates for the economy and the capital market. Utilizing cycles, sectors, and seasonalities in the investment process, supported by AI algorithms. Introduction to technical analysis: From creating a TradingV Portfolio theories and practical guidance for building your own portfolio, including insights into professional strategies. Understanding investment calculation and metrics: From market capitalization to P/E ratio to advanced valuation methods. Financial metrics such as EV/EBITDA multiple, P/E ratio (Price-to-Earnings ratio), P/B ratio (Price-to-Book ratio), P/S ratio (Price-to-Sales ratio), PEG ratio, Understanding and applying the DCF (Discounted Cash Flow) model: Learn how to calculate the intrinsic value of a stock, including access to my DCF models. Exploring Growth Investing: Methods for identifying growth markets and companies. Value Investing inspired by Warren Buffett and Benjamin Graham: How to find un Income Investing for passive income through dividends and evaluating dividend stocks. Exploring alternative investments: From real estate to P2P lending to unus Step-by-step guide to creating a diversified portfolio, including cryptocurrencies, stocks, and ETFs. Hedging strategies to protect your portfolio from a market downturn. Basics of taxes on investments in stocks, ETFs, and cryptocurrencies and how to avoid tax traps. Recommended tools, websites, and AI applications for education and investment analysis. Understand metrics like Return on Invested Capital (ROIC), LTV/CAC Ratio and more Requirements No prior knowledge required, everything will be shown to you step by step. Description Not investing is riskier than investing!! sounds strange, doesn't it? Yet it is true because we live in a world where central banks expand the money supply, thereby creating inflation and eroding the purchasing power of our money. Not investing is the 100% guaranteed way to lose money in the long term, and we don't want that! Do you want to master the basics of investing, from the stock market to stocks, ETFs, and cryptocurrencies? Do you want to understand how central banks shape our economy and how you can use this knowledge to benefit from it? Then this course is for you! Welcome to the course "Mastering Investing: Stocks, ETFs, Crypto, REITs & Gold" - Finally learn to invest your money in the stock market! In this course, you will embark on a comprehensive journey through the landscape of financial markets and learn how not investing can often be riskier than purposefully building a portfolio. We cover everything - from the basics of entering the stock market to advanced investment strategies inspired by the greats like Warren Buffett and Benjamin Graham. Imagine being able to: Understand the risks of not investing and why actively managing your wealth is essential. Master the basics for successfully entering the world of stocks, ETFs, ETCs, and cryptocurrencies. Develop a deep understanding of economic cycles, central bank policies, and their influence on your investment decisions. Incorporate the support of AI algorithms, cycles, sectors, and seasonalities into your investment process. Master technical analysis: From creating your TradingView account to understanding complex chart patterns and indicators. Build your own diversified portfolio, guided by portfolio theories and insights into the strategies of investment professionals. Learn the art of investment calculation and company valuation using financial metrics and DCF models. This course offers you: A wide range of knowledge, from the basics of investing to specialized strategies for growth and value investing. Practical guidance for building a diversified portfolio, including stocks, ETFs, cryptocurrencies, and more. A deep understanding of financial metric evaluation and how to discover undervalued stocks. 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Hashicorp Terraform: The Ultimate Beginner'S Guide With Labs Published 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 5.64 GB | Duration: 9h 54m Learn Terraform and OpenTofu - Build, Automate, and Scale Infrastructure with Hands-On Labs for AWS, Azure, and GitHub What you'll learn Students will learn installation, provider setup, and CLI commands to manage Terraform configurations Build by a HASHICORP AMBASSADOR and PRINCIPAL CONSULTANT with over 10 years experience working with HashiCorp products. Students will be introduced to IaC principles and understand how to define and manage infrastructure with Terraform. Learn how to build reusable code and refactor existing code using locals and DRY practices. Students will learn from a HASHICORP AUTHORIZED INSTRUCTOR and EXAM CONTRIBUTOR. Scale and Build infrastructure using Terraform to automate workflows with a focus on repeatability. Requirements Basic computer and command line skills and familiarity with a text editor or IDE A general understanding of IT infrastructure concepts and cloud providers. No prior Terraform or IaC experience required - I'll teach ALL in this course! Access to an AWS, Azure, or GitHub account to go through the included hands-on labs in the course. Description Unlock the power of Terraform and OpenTofu to automate, manage, and scale AWS, Azure, and GitHub resources like a pro! This course provides actionable, hands-on experience in Infrastructure as Code (IaC) using HCL-the language that powers Terraform. By the end of this course, you'll confidently create reusable, modular infrastructure with Terraform and OpenTofu, building your skills through practical labs and real-world demos that mirror on-the-job challenges. If you're looking for a comprehensive, expertly taught course to jumpstart your IaC journey, this is it!This course includes access to hands-on labs to gain experience as you go through the course. Each lab is offered on three different platforms - AWS, Azure, and GitHub - so you can choose your own path based on your skillset and comfortability.This course includes tons of information, including:Introduction to Terraform and OpenTofu - Overview of tools, benefits of IaC, and course objectivesSetting Up Your Environment - Installing Terraform and OpenTofu, configuring AWS and other providersUnderstanding HCL (HashiCorp Configuration Language) - Syntax, structure, and key concepts for writing IaCCore Terraform Concepts - Providers, resources, data sources, variables, and outputsState Management - Understanding Terraform state, backends, and state management best practicesCreating Reusable Infrastructure with Modules - Building and using reusable modules for scalable codeProvisioners and Dependencies - Configuring resources using provisionersReal-World Demos and Hands-On Labs - Exercises that simulate real-world infrastructure challenges and solutions.**What is Terraform?**Terraform is an open-source tool by HashiCorp that enables you to define and provision infrastructure as code (IaC) across a wide range of cloud providers, including AWS, Azure, and Google Cloud. Using its declarative language, HCL (HashiCorp Configuration Language), Terraform allows you to create, modify, and version infrastructure safely and efficiently. By automating the setup and management of cloud resources, Terraform helps teams scale and manage complex environments, reduce manual work, and ensure consistency across deployments. It's a powerful solution for anyone looking to streamline cloud infrastructure management and embrace the principles of IaC.**About the Instructor**With over 7 years of HashiCorp consulting, deep involvement in the HashiCorp community, and contributions to the official Terraform certification exams, I bring unmatched industry expertise to guide you every step of the way. I've been teaching HashiCorp solutions for over 5 years and have an instructor rating of 4.7 with 150,000+ enrollments around the world. Overview Section 1: Introduction Lecture 1 Course Introduction Lecture 2 Udemy Course Ratings & Reviews Lecture 3 Introduction to Terraform Lecture 4 Core Components and Benefits of Terraform Lecture 5 Learn the Basics of HashiCorp Configuration Language (HCL) Lecture 6 Introduction to OpenTofu Lecture 7 How to Use OpenTofu in This Course Section 2: Preparing Your Environment Lecture 8 Section Intro - Preparing Your Environment Lecture 9 Installing Terraform on MacOS and Linux Lecture 10 Installing Terraform on Windows Lecture 11 Installing Terraform Auto-Complete Lecture 12 Installing OpenTofu on Your Local Machine Lecture 13 Installing Microsoft Visual Studio Code (IDE) Lecture 14 Setting Up Credentials for Terraform and OpenTofu - AWS Lecture 15 Setting Up Credentials for Terraform and OpenTofu - Azure Lecture 16 Setting Up Credentials for Terraform and OpenTofu - GitHub Section 3: Terraform File Structure and Organization Lecture 17 Terraform File Structure and Organization Section 4: Understanding Terraform State Lecture 18 Section Intro - Terraform State Lecture 19 Introduction to Terraform State Lecture 20 Where Can I Store Terraform State? Section 5: Terraform Workflow Lecture 21 Section Intro - Terraform Workflow Lecture 22 Terraform Init Lecture 23 Terraform Plan Lecture 24 Terraform Apply Lecture 25 Terraform Destroy Section 6: Terraform CLI Lecture 26 Section Intro - Terraform CLI Lecture 27 Introduction to the Terraform CLI Lecture 28 Demo - Terraform CLI Lecture 29 Making the Most of the Terraform CLI Lecture 30 Demo - Making the Most of the Terraform CLI Section 7: Terraform Block Types Lecture 31 Section Intro - Terraform Block Types Lecture 32 Introduction to Terraform Block Types Lecture 33 Provider Block Lecture 34 Resource Block Lecture 35 Data Block Lecture 36 Variable Block Lecture 37 Variable Block - Types of Variables Lecture 38 Variable Block - Assigning Values to Variables Lecture 39 Output Block Lecture 40 Terraform Block Lecture 41 Module Block Lecture 42 Import Block Section 8: Writing Your First Terraform Configurations Lecture 43 Section Intro - Writing Your First Terraform Configurations Lecture 44 Hands-On Lab # 1 - Getting Started with Terraform Configuration Lecture 45 Hands-On Lab # 2 - Creating Your First Resource with Terraform Lecture 46 Hands-On Lab # 3 - Working with Variables and Outputs Lecture 47 Hands-On Lab # 4 - Managing Multiple Resources and Dependencies Lecture 48 Hands-On Lab # 5 - Working with State, Data Sources, and CLI Commands Section 9: Using Terraform Documentation Lecture 49 Learn How to Use Terraform Documentation Section 10: Making Code Reusable Lecture 50 Section Intro - Making Code Reusable Lecture 51 The "Why" Behind Reusability Lecture 52 Enhancing Code with Dynamic Values Lecture 53 Demo - Enhancing Code with Dynamic Values Lecture 54 Hands-On Lab # 6 - Refactor Code with Dynamic Values Lecture 55 Using Locals to Avoid Code Duplication Lecture 56 Demo - Using Locals to Avoid Code Duplication Lecture 57 Hands-On Lab # 7 - Using Locals for Repeated Values Lecture 58 Meta-Arguments - Write Less Code, Deploy More Efficiently Lecture 59 Using the count Meta-Argument Lecture 60 Demo - Using the count Meta-Argument Lecture 61 Hands-On Lab # 8 - Deploying Multiple Resources with count Lecture 62 Using the for_each Meta-Argument Lecture 63 Demo - Using the for_each Meta-Argument Lecture 64 Hands-On Lab # 9 - Deploying Multiple Resources with for_each Lecture 65 Using the depends_on Meta-Argument Lecture 66 Demo - Using the depends_on Meta-Argument Lecture 67 Hands-On Lab # 10 - Managing Explicit Dependencies Lecture 68 Using the provider Meta-Argument Lecture 69 Demo - Using the provider Meta-Argument Lecture 70 Hands-On Lab # 11 - Deploying to Multiple Regions Lecture 71 Using the lifecycle Meta-Argument Lecture 72 Demo - Using the lifecycle Meta-Argument Lecture 73 Hands-On Lab # 12 - Managing the Lifecycle of Resources Lecture 74 Using Built-In Functions to Standardize Code Lecture 75 Hands-On Lab # 13 - Using Built-In Functions to Standardize Code Section 11: Introduction to Modules Lecture 76 Section Intro - Modules Lecture 77 Introduction to Modules Lecture 78 Using the Terraform Registry Lecture 79 Hands-On Lab #14 - Using Modules from the Terraform Registry Lecture 80 Writing and Using Your Own Modules Lecture 81 Hands-On Lab #15 - Write Your Own Terraform Module Section 12: Managing and Maintaining Your Terraform Code Lecture 82 Section Intro - Managing and Maintaining Your Code Lecture 83 More Coming Soon! Section 13: BONUS Lecture 84 Course Discounts and Links This course is designed for IT professionals, developers, and cloud enthusiasts who are new to Terraform and Infrastructure as Code,Developers eager to incorporate code-driven cloud deployments using Terraform or OpenTofu into their workflows.,Beginners to Infrastructure as Code who want to build a solid Terraform foundation.,DevOps engineers seeking to expand their skill set with Terraform. 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Complete 2025 Python Bootcamp: Learn Python From Scratch Published 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 11.75 GB | Duration: 9h 31m Master Python Programming from Scratch: Build Real-World Projects and Become Job-Ready in 2025 What you'll learn Master Python Basics: Learn Python programming fundamentals, including variables, data types, loops, and conditionals. Work with Real-World Data: Gain hands-on experience using Python libraries like Requests and Shutil Build Projects from Scratch: Develop practical Python projects, such as calculators, games, and automation scripts. Understand Object-Oriented Programming (OOP): Learn how to design classes, objects, and implement inheritance in Python. Automate Tasks with Python: Use Python to simplify repetitive tasks, including file handling and web scraping. Requirements No prior programming experience is required - this course is designed for complete beginners. A computer (Windows, macOS, or Linux) with an internet connection. Basic computer skills, such as using a web browser and installing software. A willingness to learn and a curious mindset! Description Welcome to Complete 2025 Python Bootcamp: Learn Python from Scratch! This course is your ultimate starting point to master Python and become a confident coder-whether you're a complete beginner or looking to sharpen your skills.In this comprehensive, step-by-step course, you'll start with the basics and gradually progress to advanced topics, learning how to build real-world applications along the way. Python is one of the most versatile and in-demand programming languages, used in fields like web development, data science, machine learning, automation, and more. By the end of this course, you'll have the skills and knowledge to take on professional coding challenges and start your career in tech.What You'll Learn:Python programming fundamentals, including variables, loops, conditionals, and data types.How to build Python projects from scratch, including games, automation scripts, and web applications.Object-Oriented Programming (OOP) concepts and how to apply them to real-world problems. Debugging and problem-solving techniques to write clean, efficient code.Practical tips and techniques to prepare for coding interviews and real-world development tasks.Why Take This Course?Beginner-Friendly: No prior programming experience is required.Project-Based Learning: Gain hands-on experience by building projects that showcase your skills.Real-World Applications: Learn Python in the context of actual use cases, from web scraping to automating tasks.Career-Focused: Equip yourself with the skills needed to land your first job or advance your career in tech.Whether you want to automate daily tasks, create web apps, or explore data science, this course is the perfect place to start your Python journey. Join me, and let's transform you from a Python novice to a confident coder ready for the job market! Overview Section 1: Introduction to Programming & Python Lecture 1 Introduction to Programming Lecture 2 Installing Python and VS Code Lecture 3 Writing Our First Python Program Lecture 4 Understanding the Python Syntax Section 2: Python Fundamentals Lecture 5 Variables and Data Types in Python Lecture 6 Typecasting in Python Lecture 7 Taking User Input in Python Lecture 8 Comments, Escape Sequences & Print Statement Lecture 9 Operators in Python Section 3: Control Flow and Loops Lecture 10 If-Else Conditional Statements Lecture 11 Match Case Statements in Python Lecture 12 For Loops in Python Lecture 13 While Loops in Python Lecture 14 Break, Continue, and Pass Statements Section 4: Strings Lecture 15 Strings in Python Lecture 16 String Slicing and Indexing Lecture 17 String Methods and Functions Lecture 18 String Formatting and f-Strings Section 5: Functions and Modules Lecture 19 Defining Functions in Python Lecture 20 Function Arguments & Return Values Lecture 21 Lambda Functions in Python Lecture 22 Recursion in Python Lecture 23 Modules and Pip - Using External Libraries Lecture 24 Variable Scope and Docstrings Section 6: Data Structures in Python Lecture 25 Introduction to Lists Lecture 26 List Methods Lecture 27 Tuples and Operations on Tuples Lecture 28 Sets and Set Methods Lecture 29 Dictionaries and Dictionary Methods Section 7: Object-Oriented Programming (OOP) in Python Lecture 30 Introduction to OOP Lecture 31 Classes and Objects in Python Lecture 32 Constructors in Python Lecture 33 Instance and class attributes Lecture 34 Inheritance and Polymorphism Lecture 35 Method Overriding and Operator Overloading Section 8: Advanced Python Concepts Lecture 36 Decorators in Python Lecture 37 Getters and Setters Lecture 38 Static & Class Methods Lecture 39 Magic/Dunder Methods Lecture 40 Exception Handling and Custom Errors Lecture 41 Map filter and reduce Lecture 42 Walrus operator Lecture 43 Args and kwargs Section 9: File IO - Working with Files & Related Modules Lecture 44 File I/O in Python Lecture 45 Read, Write, and Append Files Lecture 46 OS and Shutil Modules in Python Lecture 47 Creating Command Line Utilities Section 10: Working with External Libraries Lecture 48 Virtual Environments & Package Management Lecture 49 Requests Module - Working with APIs Lecture 50 Regular Expressions in Python Lecture 51 Multithreading in Python Section 11: Using AI as a developer Lecture 52 When and how to use AI? Lecture 53 ChatGPT - The optimal way to use it Lecture 54 Github Copilot, Cursor AI & Llama coder Lecture 55 Working with LLM APIs Section 12: Hands-On Python Projects Lecture 56 Build a Simple Calculator Lecture 57 Who wants to be a Millionaire Game Lecture 58 PDFMerger: Merge PDFs using Python Lecture 59 Build a News App Using APIs Lecture 60 Build a Drink Water Reminder App Lecture 61 Build an AI Powered Virtual Assistant Section 13: Conclusion and Next Steps Lecture 62 Course Summary & What's Next Lecture 63 Resources and Career Guidance Complete Beginners: Individuals with no prior programming experience who want to start their journey in Python and coding.,Aspiring Programmers: Students and professionals looking to build a strong foundation in Python for academic or career purposes.,Career Changers: People from non-technical backgrounds who want to transition into tech or software development.,Hobbyists and Enthusiasts: Anyone interested in learning Python to automate tasks, build projects, or explore programming as a hobby.,Future Data Scientists and Developers: Those aiming to use Python for data analysis, web development, or machine learning in the future. DDownload https://ddownload.com/c14wk9192cv1/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part01.rar https://ddownload.com/szi04muz16rg/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part02.rar https://ddownload.com/vwhbb0wz14ke/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part03.rar https://ddownload.com/twofexj8nu5r/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part04.rar https://ddownload.com/3jx5f9bjppr1/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part05.rar https://ddownload.com/ll7myq2m2myd/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part06.rar https://ddownload.com/06nqg5gdqt05/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part07.rar https://ddownload.com/su4yf3kgga9b/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part08.rar https://ddownload.com/9rcanod0aop6/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part09.rar https://ddownload.com/1b10h2xxq2a4/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part10.rar https://ddownload.com/0z0x2jorq521/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part11.rar https://ddownload.com/aqveqdkau8zf/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part12.rar RapidGator https://rapidgator.net/file/582b813014f56a8e073acf9a6d1df9f7/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part01.rar https://rapidgator.net/file/5bdd2713332805144b33761a64a12784/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part02.rar https://rapidgator.net/file/4aa206ffb2c78a4b1ea7379e9a65c912/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part03.rar https://rapidgator.net/file/5799fe5ec7b767077d7580f367453904/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part04.rar https://rapidgator.net/file/72b2ad58c5d763da6325cc91876d3b5b/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part05.rar https://rapidgator.net/file/4a814b641255be9deed853ac0267b1ba/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part06.rar https://rapidgator.net/file/290d5a40def36dcfe600ce670b5697f6/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part07.rar https://rapidgator.net/file/0722782183014b3e5bfeb329d8cbfc55/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part08.rar https://rapidgator.net/file/812ebe86d639e7bdacea668e891d538d/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part09.rar https://rapidgator.net/file/a33c3aaba7260d78427d86cd7a73dac0/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part10.rar https://rapidgator.net/file/b2745ef786b6f02b6b4c43425d7b45a4/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part11.rar https://rapidgator.net/file/8ee2f06f5c829f22b0ae635cd0100186/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part12.rar NitroFlare https://nitroflare.com/view/7DEF1E44E692B9E/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part01.rar https://nitroflare.com/view/BE6E82019D9CB6B/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part02.rar https://nitroflare.com/view/9F5210898505B9F/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part03.rar https://nitroflare.com/view/C15347CDD3DA4C5/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part04.rar https://nitroflare.com/view/79672EF892BE669/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part05.rar https://nitroflare.com/view/C81B5912B251833/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part06.rar https://nitroflare.com/view/6937E4A498B4C5D/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part07.rar https://nitroflare.com/view/71E5FED00087CF3/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part08.rar https://nitroflare.com/view/861E1878B74F5B7/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part09.rar https://nitroflare.com/view/CDF887B73D6BF1E/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part10.rar https://nitroflare.com/view/E242DE4195E85C0/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part11.rar https://nitroflare.com/view/A9D4DF2FE4EF968/yxusj..-.Complete.2025.Python.Bootcamp.Learn.Python.from.Scratch.part12.rar

2.34 GB | 21min 38s | mp4 | 3840X2160 | 16:9 Genre:eLearning |Language:English Files Included : FileName :1 Introduction.mp4 | Size: (67.74 MB) FileName :10 Strings.mp4 | Size: (62.74 MB) FileName :11 Control Flow.mp4 | Size: (67.38 MB) FileName :12 Exception Handling.mp4 | Size: (87.06 MB) FileName :13 Pattern Matching.mp4 | Size: (41.27 MB) FileName :14 Operators.mp4 | Size: (55.27 MB) FileName :15 Conversion.mp4 | Size: (56.45 MB) FileName :16 Types.mp4 | Size: (75.16 MB) FileName :17 Classes.mp4 | Size: (56.06 MB) FileName :18 Class Constructor.mp4 | Size: (132.74 MB) FileName :19 Structs & Records.mp4 | Size: (56.96 MB) FileName :2 Brief History of NET.mp4 | Size: (32.71 MB) FileName :20 Inheritance.mp4 | Size: (44.64 MB) FileName :21 Sealed vs Virtual.mp4 | Size: (24.95 MB) FileName :22 Abstract Classes.mp4 | Size: (32.23 MB) FileName :23 Interfaces.mp4 | Size: (79.73 MB) FileName :24 Extension Methods in CSharp.mp4 | Size: (71.43 MB) FileName :25 Generics.mp4 | Size: (76.56 MB) FileName :26 Arrays vs Collections.mp4 | Size: (35.06 MB) FileName :27 Lists.mp4 | Size: (51.28 MB) FileName :28 Lambda Expressions.mp4 | Size: (45.01 MB) FileName :29 Introduction to LINQ.mp4 | Size: (58.51 MB) FileName :3 NET Terms & Use Cases.mp4 | Size: (53.98 MB) FileName :30 LINQ Selecting, Ordering, & Filtering.mp4 | Size: (128.71 MB) FileName :31 LINQ GroupBy & SelectMany.mp4 | Size: (33.58 MB) FileName :32 Asynchronous Programming.mp4 | Size: (135.15 MB) FileName :33 Dispose Pattern.mp4 | Size: (54.16 MB) FileName :34 Streams.mp4 | Size: (48.25 MB) FileName :35 File APIs.mp4 | Size: (47.32 MB) FileName :36 Making HTTP Requests.mp4 | Size: (58.14 MB) FileName :37 Working with JSON.mp4 | Size: (28.45 MB) FileName :38 Reflection and Attributes.mp4 | Size: (48 MB) FileName :39 Wrapping Up.mp4 | Size: (14.45 MB) FileName :4 NET Tooling.mp4 | Size: (62.5 MB) FileName :5 Setup NET CLI.mp4 | Size: (44.31 MB) FileName :6 CSharp Syntax Overview.mp4 | Size: (39.16 MB) FileName :7 Variables.mp4 | Size: (60.82 MB) FileName :8 Methods.mp4 | Size: (85.46 MB) FileName :9 CSharp Built-in Types.mp4 | Size: (146.83 MB)] Screenshot RapidGator https://rapidgator.net/file/ed057343e8252fcfa9685bc8fc1e4c85/Frontend_Masters_CSharp_and_DotNET_Basics.part1.rar https://rapidgator.net/file/4dd0ddbc914df1d53edc0d4fc35dda11/Frontend_Masters_CSharp_and_DotNET_Basics.part2.rar https://rapidgator.net/file/2a7d796b6d20ee747cc02c7dfc49b5e6/Frontend_Masters_CSharp_and_DotNET_Basics.part3.rar NitroFlare https://nitroflare.com/view/7D9E75AA066481B/Frontend_Masters_CSharp_and_DotNET_Basics.part1.rar https://nitroflare.com/view/343195110450BC6/Frontend_Masters_CSharp_and_DotNET_Basics.part2.rar https://nitroflare.com/view/260A7095987CBF6/Frontend_Masters_CSharp_and_DotNET_Basics.part3.rar

452.46 MB | 00:04:21 | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 01 welcome-to-the-supply-chain-excellence-capstone.mp4 (4.76 MB) 01 types-of-planning.mp4 (10.22 MB) 03 product-flow-options.mp4 (20.09 MB) 04 product-flow-strategy.mp4 (9.77 MB) 01 product-flow-issues.mp4 (11.28 MB) 03 types-of-product-flow-issues.mp4 (8.78 MB) 04 analysis-of-issues.mp4 (14.97 MB) 01 designing-solutions.mp4 (9.39 MB) 03 mapping-solutions.mp4 (16.03 MB) 04 mapping-example.mp4 (19.95 MB) 01 leading-change.mp4 (11.43 MB) 03 motivation-and-leadership.mp4 (7.56 MB) 04 implementing-change.mp4 (11.92 MB) 01 information-flow-strategy.mp4 (7.57 MB) 02 information-flow-options.mp4 (18.58 MB) 03 planning-for-information-flow.mp4 (15.43 MB) 01 types-of-information-flow-issues.mp4 (8.19 MB) 03 analysis-of-information-issues.mp4 (19.14 MB) 01 designing-information-solutions.mp4 (9.46 MB) 02 designing-forecast-solutions-prepare.mp4 (17.41 MB) 03 designing-forecast-solutions-model.mp4 (16.15 MB) 04 designing-forecast-solutions-implement.mp4 (9.8 MB) 01 leading-change.mp4 (11.43 MB) 03 motivation-and-leadership.mp4 (7.56 MB) 04 implementing-change.mp4 (11.92 MB) 01 impact-of-scm-on-income-statement.mp4 (9.21 MB) 03 sales-revenue.mp4 (12.7 MB) 04 cost-of-goods-sold.mp4 (11.69 MB) 01 impact-of-scm-on-balance-sheet.mp4 (12.34 MB) 02 short-term-assets.mp4 (13.78 MB) 03 long-term-assets-liabilities.mp4 (12.18 MB) 01 impact-of-scm-on-financials.mp4 (17.78 MB) 02 rewards-system-customer-satisfaction.mp4 (16.89 MB) 03 rewards-system-financial-performance.mp4 (16.14 MB) 04 not-just-a-cost-center.mp4 (16.72 MB) 01 congratulations-on-completing-the-supply-chain-excellence-capstone.mp4 (4.14 MB)] Screenshot RapidGator https://rapidgator.net/file/731c170c7e91d519cff809233015058a/Coursera..Supply.Chain.Excellence.Capstone.rar NitroFlare https://nitroflare.com/view/991C9FB5DB1B683/Coursera..Supply.Chain.Excellence.Capstone.rar

772.71 MB | 00:07:15 | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 01 welcome-to-sourcing-excellence.mp4 (3.74 MB) 01 raw-material-inventories.mp4 (12.44 MB) 03 inventory-coordination.mp4 (21.81 MB) 04 inventory-coordination-tradeoffs.mp4 (21.81 MB) 05 vendor-managed-inventory.mp4 (14.73 MB) 01 supplier-quality.mp4 (10.8 MB) 03 raw-materials-quality.mp4 (10.97 MB) 04 service-quality.mp4 (15.26 MB) 05 supplier-scorecards.mp4 (13.23 MB) 02 supplier-segmentation.mp4 (33.88 MB) 04 supplier-relationship-management.mp4 (32.23 MB) 01 inbound-information-flow-intro.mp4 (10.6 MB) 02 p2p-systems.mp4 (25.53 MB) 04 p2p-benefits.mp4 (18.57 MB) 05 p2p-challenges.mp4 (17.99 MB) 01 the-naive-forecast.mp4 (22.77 MB) 03 naive-forecast-screencast.mp4 (5.27 MB) 01 the-cumulative-mean.mp4 (14.39 MB) 03 cumulative-mean-screencast.mp4 (6.5 MB) 01 forecast-accuracy-measures.mp4 (22.03 MB) 03 forecast-accuracy-measures-screencast.mp4 (7.5 MB) 01 moving-average.mp4 (22.15 MB) 03 screencast-on-moving-average.mp4 (13.49 MB) 01 selecting-the-best-forecast.mp4 (11.8 MB) 01 outbound-financial-flow.mp4 (13.91 MB) 03 dpo-extension.mp4 (28.56 MB) 04 payment-options.mp4 (21.67 MB) 06 commercial-credit-cards.mp4 (48.07 MB) 01 supply-chain-finance.mp4 (42.68 MB) 03 interest-rates.mp4 (25.96 MB) 04 cost-of-capital.mp4 (22.36 MB) 06 scf-decisions.mp4 (28.95 MB) 01 payment-practices.mp4 (8.85 MB) 03 payment-practices-index.mp4 (20.45 MB) 05 payment-practices-satisfaction.mp4 (30.89 MB) 01 trends-and-seasonality.mp4 (20.84 MB) 03 estimating-trends.mp4 (23.33 MB) 04 estimating-seasonality.mp4 (29.91 MB) 05 combining-trends-seasonality.mp4 (13.82 MB)] Screenshot RapidGator https://rapidgator.net/file/cd3b0435380160ed4525a6bab7ec295d/Coursera..Sourcing.Excellence.rar NitroFlare https://nitroflare.com/view/DB6E1F73FB12741/Coursera..Sourcing.Excellence.rar

1.62 GB | 16min 44s | mp4 | 1920X1080 | 16:9 Genre:eLearning |Language:English Files Included : FileName :01 Introduction.mp4 | Size: (39.41 MB) FileName :02 Type Guards vs Schema Validation.mp4 | Size: (46.21 MB) FileName :03 Introduction to Zod.mp4 | Size: (31.58 MB) FileName :04 Zod Exercise Fundamentals.mp4 | Size: (96.75 MB) FileName :05 Zod Exercise Validation & Data Transformation.mp4 | Size: (135.13 MB) FileName :06 Advanced Zod Uses Exercise.mp4 | Size: (107.83 MB) FileName :07 Validating JSON Schemas.mp4 | Size: (39.6 MB) FileName :08 Setup the API Project.mp4 | Size: (27.83 MB) FileName :09 Adding Types to Requests & Responses.mp4 | Size: (66.55 MB) FileName :10 API Server Schema Validation.mp4 | Size: (73.05 MB) FileName :11 Client App Schema Validation.mp4 | Size: (28.62 MB) FileName :12 Sharing Schemas in Client & Server.mp4 | Size: (60.51 MB) FileName :13 User Schema Exercise.mp4 | Size: (93.83 MB) FileName :14 Using Middleware for Schema Validation.mp4 | Size: (54.72 MB) FileName :15 Request Body Validation.mp4 | Size: (50.27 MB) FileName :16 Query & Path Parameter Validation Exercise.mp4 | Size: (58.68 MB) FileName :17 What is OpenAPI.mp4 | Size: (44.83 MB) FileName :18 Generating Types from OpenAPI Contracts.mp4 | Size: (52.23 MB) FileName :19 OpenAPI Express Validator & Orval.mp4 | Size: (63.67 MB) FileName :20 What is tRPC.mp4 | Size: (40.59 MB) FileName :21 tRPC on the Server.mp4 | Size: (66.69 MB) FileName :22 tRPC Queries.mp4 | Size: (89.3 MB) FileName :23 tRPC Mutations.mp4 | Size: (66.33 MB) FileName :24 tRPC in the Client.mp4 | Size: (78.89 MB) FileName :25 Type-Safe Database Access with Prisma.mp4 | Size: (48.38 MB) FileName :26 Using Prisma with tRPC.mp4 | Size: (37.1 MB) FileName :27 Generating Zod & tRPC from Prisma.mp4 | Size: (55.02 MB) FileName :28 Wrapping Up.mp4 | Size: (9.16 MB)] Screenshot RapidGator https://rapidgator.net/file/dd47baa792071292e913f25aba7e5057/Frontend.Masters.-.Fullstack.TypeScript.v2.feat..Zod.part1.rar https://rapidgator.net/file/e075179b09f38358c2d36ec3cb611bff/Frontend.Masters.-.Fullstack.TypeScript.v2.feat..Zod.part2.rar NitroFlare https://nitroflare.com/view/4F43781D4C0DBF2/Frontend.Masters.-.Fullstack.TypeScript.v2.feat..Zod.part1.rar https://nitroflare.com/view/4C78567BE693954/Frontend.Masters.-.Fullstack.TypeScript.v2.feat..Zod.part2.rar

541.21 MB | 00:05:46 | mp4 | 1280X674 | 1.899:1 Genre:eLearning |Language:English Files Included : 01 manufacturing-efficiency.mp4 (7.67 MB) 04 manufacturing-systems.mp4 (39.45 MB) 05 agile-versus-lean-versus-scale.mp4 (11.47 MB) 01 contract-manufacturers.mp4 (22.75 MB) 03 manufacturing-excellence.mp4 (10.99 MB) 01 internal-information-flow.mp4 (16.85 MB) 02 industry-4-0.mp4 (35.49 MB) 04 the-automation-pyramid.mp4 (19.68 MB) 01 the-goals-of-operations-speed-flexibility-quality-and-cost.mp4 (30.41 MB) 02 lean-operations.mp4 (38.21 MB) 04 theory-of-constraints.mp4 (31.94 MB) 06 lean-operations.mp4 (38.21 MB) 08 theory-of-constraints.mp4 (31.94 MB) 01 from-quality-is-free-to-six-sigma.mp4 (41.98 MB) 02 dmaic-and-the-define-stage.mp4 (12.16 MB) 03 screencast-of-dmaic-and-the-measure-stage.mp4 (12.68 MB) 04 screencast-of-dmaic-and-the-analyze-stage.mp4 (7.29 MB) 05 screencast-of-dmaic-and-the-improve-stage.mp4 (15.74 MB) 06 screencast-of-dmaic-and-the-control-stage.mp4 (4.31 MB) 01 supply-chain-capital.mp4 (17.84 MB) 03 increasing-supply-chain-capital.mp4 (19.11 MB) 04 fund-the-growth.mp4 (10.11 MB) 01 inventory.mp4 (19.59 MB) 03 inventory-customer-service.mp4 (20.78 MB) 04 customer-service-costs.mp4 (15.34 MB)] Screenshot RapidGator https://rapidgator.net/file/55431096a39d531d8ca4498674a3a7a4/Coursera..Operations.Excellence.rar NitroFlare https://nitroflare.com/view/8CA0C37BB7594F3/Coursera..Operations.Excellence.rar

1.02 GB | 00:14:30 | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 01 introduction.mp4 (69.57 MB) 02 flipped-interaction-pattern.mp4 (49.75 MB) 03 the-agent-loop.mp4 (123.91 MB) 07 adding-structure-to-ai-agent-outputs.mp4 (187.2 MB) 01 gail-goals-actions-information-language.mp4 (101.54 MB) 02 giving-agents-tools.mp4 (50.09 MB) 03 tool-descriptions-and-naming.mp4 (63.51 MB) 04 tool-results-and-agent-feedback.mp4 (67.73 MB) 01 overview-of-the-game-framework.mp4 (63.03 MB) 02 simulating-agents-in-chatgpt.mp4 (89.46 MB) 01 build-the-impossible-with-ai-agents.mp4 (31.19 MB) 02 rethinking-how-we-teach-innovation.mp4 (35.85 MB) 03 hallucination-is-a-new-form-of-computing.mp4 (74.06 MB) 04 new-ways-to-access-and-extract-information.mp4 (31.73 MB)] Screenshot RapidGator https://rapidgator.net/file/b3a0cd206517ba8bf5ee887d7b027017/Coursera..AI.Agents.and.Agentic.AI.with.Python..Generative.AI.rar NitroFlare https://nitroflare.com/view/2007E80465B4D27/Coursera..AI.Agents.and.Agentic.AI.with.Python..Generative.AI.rar

328.3 MB | 00:03:58 | mp4 | 1280X720 | 16:9 Genre:eLearning |Language:English Files Included : 01 overview-of-delivery-options.mp4 (7.21 MB) 03 road-transport.mp4 (7.69 MB) 04 rail-transport.mp4 (16.6 MB) 05 air-transport.mp4 (11.08 MB) 06 ocean-transport.mp4 (10.13 MB) 01 purpose-of-a-logistics-network.mp4 (10.51 MB) 02 warehouse-locations.mp4 (22.19 MB) 03 transportation-lanes.mp4 (10.49 MB) 04 optimization-techniques.mp4 (11.55 MB) 01 overview-of-logistics-relationships.mp4 (13.98 MB) 03 warehousing-providers.mp4 (9.97 MB) 04 transportation-providers.mp4 (7.03 MB) 05 third-party-logistics-providers.mp4 (14.07 MB) 01 outbound-information-flow.mp4 (18.51 MB) 03 wms-benefits.mp4 (22.06 MB) 04 wms-challenges.mp4 (10.46 MB) 01 transportation-management-systems.mp4 (8.83 MB) 03 tms-benefits.mp4 (14.65 MB) 04 tms-challenges.mp4 (7.66 MB) 01 customer-financing.mp4 (17.74 MB) 03 benefits-of-customer-financing.mp4 (9.54 MB) 04 threats-of-customer-financing.mp4 (11.25 MB) 01 the-other-side-of-dpo.mp4 (24.72 MB) 03 customer-objectives.mp4 (14.59 MB) 04 how-to-react.mp4 (14.91 MB)] Screenshot RapidGator https://rapidgator.net/file/953092aae8ad9f799081eae9e41f27c1/Coursera..Logistics.Excellence.rar NitroFlare https://nitroflare.com/view/704942EA47029E1/Coursera..Logistics.Excellence.rar

1.01 GB | 1h 18min 23s | mp4 | 1920X1080 | 16:9 Genre:eLearning |Language:English Files Included : FileName :01 Part1.mp4 | Size: (281.71 MB) FileName :02 Part2.mp4 | Size: (191.72 MB) FileName :03 Part3.mp4 | Size: (221.27 MB) FileName :04 Part4.mp4 | Size: (180.26 MB) FileName :05 Part5.mp4 | Size: (154.65 MB)] Screenshot RapidGator https://rapidgator.net/file/c1752e495dbeb21a1c45da71eb6d9315/Frontend.Masters.-.Getting.Started.with.CSS.v2.rar NitroFlare https://nitroflare.com/view/C2E8B4383998733/Frontend.Masters.-.Getting.Started.with.CSS.v2.rar

Foundations of Discrete Math: From Logic to Algorithms Published 4/2025 Duration: 3h 44m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 807 MB Genre: eLearning | Language: English Master sets, logic, proofs, combinatorics, and relations - the core of mathematical reasoning. What you'll learn - Set Theory: Understanding sets, subsets, operations, and applications. - Logic: Propositional and predicate logic, logical connectives, truth tables, and logical equivalence - Proof Techniques: Direct proofs, proof by contradiction, and mathematical induction. - Recursion and Sequences: Defining sequences recursively and solving recurrence relations. - Asymptotic Analysis: Big O notation and analyzing algorithm efficiency. - Combinatorics: Counting principles, permutations, combinations, and the pigeonhole principle. - Probability: Basic probability theory, including conditional probability and Bayes' theorem. - Relations and Digraphs: Properties of relations, equivalence relations, partial orderings, and directed graphs. - Boolean Algebra: Boolean functions, logic gates, and applications in digital circuits. Requirements - Logical thinking - No formal logic experience required, but a willingness to think step-by-step is important. - Curiosity and persistence - Some topics can be abstract, so an open mind and a bit of patience will go a long way! - Basic algebra skills - You should be comfortable with high school-level algebra (e.g., manipulating equations, understanding variables and functions). Description Are you curious about the mathematical concepts that power computer science, logic, cryptography, and algorithm design? Whether you're a student starting your journey in computer science, a self-learner building a solid foundation, or a math enthusiast exploring new frontiers - thisElementary Discrete Mathematicscourse is designed to take you from the basics to deeper insights with clarity and structure.Why Take This Course? This course is modeled after a traditional university-level summer syllabus, but reimagined with flexibility and clarity for online learners. Through video lectures, thoughtfully designed problems, and a clear progression of topics, you'll gain a robust understanding of discrete math - the backbone of logical thinking and algorithmic reasoning. Each lecture includes a detailed PDF resource with the descriptions, formulas, and key takeaways of the lecture.But much more broadly, this course is intended to teach you tothink mathematically. You may be a student who has never seen any math beyond calculus or algebra, or perhaps you dread doing math. The point of this course is to get you to learn to think deeply, communicate carefully, and not shy away from difficult material. The topics in this course are fundamental for students pursuing computer science, mathematics, or related fields, providing the necessary background for advanced studies. As you proceed, have something to write with on hand. Work each example along with the course. Then, at the end of each chapter, work the exercises provided for you as PDFs. Some are more difficult than others, but are well worth doing to improve your understanding. Work along with someone at roughly your skill level, share solutions and ask each other questions. Whether you're preparing for computer science courses, diving into theoretical concepts, or strengthening your math fluency, this course equips you with the tools to think analytically and solve problems efficiently. Everyone can be a "math person!" So, let's get started. Who this course is for: - Undergraduate students in computer science, mathematics, engineering, or related fields taking or preparing for a discrete math course. - Aspiring developers who want a solid foundation in logic, proofs, and counting techniques essential for algorithms and programming. - Self-paced learners looking to strengthen their mathematical thinking without needing advanced prerequisites. - Curious minds interested in learning how formal logic, sets, and combinatorics work behind the scenes in tech and theory. - CS and tech interview candidates preparing for algorithm-heavy roles or graduate-level theoretical computer science. More Info Please check out others courses in your favourite language and bookmark them - - - - DDownload https://ddownload.com/jwa2a4pl2omr/yxusj..-.Foundations.of.Discrete.Math.From.Logic.to.Algorithms.rar RapidGator https://rapidgator.net/file/08fff1eab46f1e6c58ef4831e9b022da/yxusj..-.Foundations.of.Discrete.Math.From.Logic.to.Algorithms.rar NitroFlare https://nitroflare.com/view/1EFA6E7D4266CDF/yxusj..-.Foundations.of.Discrete.Math.From.Logic.to.Algorithms.rar

Functional Programming in C++ Released: 4/1/2025 Duration: 4h 25m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 685 MB Genre: eLearning | Language: English Explore the application of functional programming principles in modern C++ using features introduced in C++17, C++20, and C++23. In this course, instructor Troy MIles shows you how to write more modular, expressive, and efficient code by leveraging features such as lambdas, ranges, coroutines, and concepts. Along the way, discover how functional pipelines, metaprogramming, and the constexpr specifier can transform your approach to problem-solving in C++. This course also covers functional reactive programming, pattern matching, and the integration of functional and imperative styles to help you master advanced C++ techniques. This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time-all while using a tool that you'll likely encounter in the workplace. Check out "Using GitHub Codespaces" with this course to learn how to get started. More Info DDownload https://ddownload.com/7g7dvz0fbl6h/yxusj.Linkedin.-.Functional.Programming.in.C%2B%2B.rar RapidGator https://rapidgator.net/file/d8e16b5718ed7e025b7b82cac676a04e/yxusj.Linkedin.-.Functional.Programming.in.C__.rar NitroFlare https://nitroflare.com/view/E8DF7B872C4BB57/yxusj.Linkedin.-.Functional.Programming.in.C%2B%2B.rar

Express Essentials: Build Powerful Web Apps with Node.js Updated: 02/2025 Duration: 1h 59m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 382 MB Genre: eLearning | Language: English Are you looking for a quick introduction on the basics of using Express? Express is a flexible, minimalist framework that sits on top of Node.js, allowing you to build powerful websites and web applications with quick and easy-to-use APIs. In this course, full-stack software engineer Jamie Pittman shows you how to get started with this engaging, popular framework.Learn the basics of how to set up Express, create a server, and build an application with the Express application generator. Explore essential routing concepts, core HTTP methods, JavaScript handler code, and how to work with middleware. Get tips on how to debug an Express application and use Express with other available databases. And because security is a top concern for all developers, Jamie shares best practices for structuring your environment for safety. More Info DDownload https://ddownload.com/wchusb7233pz/yxusj.LinkedIn.-.Express.Essentials.Build.Powerful.Web.Apps.with.Node.js.rar RapidGator https://rapidgator.net/file/44d288fc99ba5354ee022c8d76475c82/yxusj.LinkedIn.-.Express.Essentials.Build.Powerful.Web.Apps.with.Node.js.rar NitroFlare https://nitroflare.com/view/8C9AFA9593AA007/yxusj.LinkedIn.-.Express.Essentials.Build.Powerful.Web.Apps.with.Node.js.rar

Unreal Engine 5 : 7 Course In 1 Ultimate Mega Course Ue5 Published 5/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 45.86 GB | Duration: 31h 30m fighter jet , tank , helicopter , ship , destruction , FPS , platforms all in one course with unreal engine 5 What you'll learn Fighter jet game mechanics Radar and Sam missile system M1 Tank game mechanics Artilleries Helicopter game mechanics Anti air gun Ship game mechanics Chaos destruction APC game mechanics FPS shooter game mechanics AI for enemy Third person game mechanics Requirements you need just unreal engine 5 Description we have seven course in one coursefirst section is anther course just for absolute beginners1.fighter jet course F18lets learn how we can use chaos vehicle system to create a game like Ace combat gamewe start with moving our f18 and then we will add effects for its engine like VFX and soundswe learn how to fly with it and how to maneuver and shoot our targets with our missile systemwe add more effects to our missile along the coursenext we need enemy and for that we use a radar system and Sam systemBy the end of the course you will be able to create your own Fighter jet game with radar system and sam system in unreal engine 52.tank course M1 AbramIn this course we will learn everything about how to create a tank game that we start from defining engine , wheels and then we start with movement of our tankwe will add sound and lots of VFX to our gamethen we will have some UI for having health bar and reload bar and rotation of turret UInext we will add artilleries as enemy that can predict tank movement and shoot at it3.helicopter course apachewe will learn all about wheels how to move them rotate them and use a handbrakenext we learn how to use vehicle movement component to make our helicopter flythen we add niagara effects for showing the distance to the ground with some dustnext we will use animation blueprint to rotate the blades of helicopterfor the enemy we will create a anti air gun so it can shoot at our helicopter and destroy it4.ship on ocean course destroyerIn this course we will create a ship game that will float on oceanfirst we create ocean then we import files for our ship and we create blueprint for our ship to make it float in our oceanthen we use ship gun so we can shoot at our enemyas enemy we use a anti ship artillery's that can hit ship and sink itwe will add some visual effects and some sound to our ship game as well5.chaos destruction course buildingIn this course we learn all about chaos destructionwe learn the basics of ithow to make things destroyable and how to change their property to resist more to explosionnext we go and create building with glasses concrete and woods6.FPS course M4In this course we start from creating our FPS character that can move around look around at aim at thingsnext we will add some UI to our character so we now where we are aiming then we add a ammo system to manage how much ammo we havenext we will add firing weapon mechanics and add visual effects (Niagara system) and soundnext we add some UI for both ammo manager and health and shield UI with widget blueprintthen we will have a reload systemthen we start with animations to play the reload animations walk and sprint animations and event firing animationsthen we go and create a AI to be our enemy and we use a kraken skeletal mesh for it that can attack player and get to be killed as wellnext we create a modular Item blueprint that can be ammo item , health item or shield item7.platforms course stack O botin this course we start by creating our character blueprint and first we make it move with good animationsthem we add jump and jet pack to itnext we create a door blueprint so it will open and close automaticallynext we create two type of elevator one that get you to top and one that will fall if you stay at top of itnext we create a fan blueprint that can shoot the player into the skynext we will create a stomper that can push player of the edgenext we create a moving platform that with a spline you can easily tell it where to go and get back Overview Section 1: Introduction Lecture 1 Introduction Section 2: 01.For absolute beginners Lecture 2 01.Section introduction Lecture 3 02.Install unreal engine Lecture 4 03.Create game Lecture 5 04.Navigating through level Lecture 6 05.Position in level Lecture 7 06.Rotating and scaling Lecture 8 07.Content drawer Lecture 9 08.Importing Lecture 10 09.Materials Lecture 11 10.Blueprint Lecture 12 11.Event graph Lecture 13 12.Variables Lecture 14 13.Location Lecture 15 14.Event tick Lecture 16 15.Vector variable Lecture 17 16.Timers Lecture 18 17.Flip flop Lecture 19 18.Boolean Lecture 20 19.Platform Lecture 21 20.GameMode Lecture 22 21.Character class Lecture 23 22.Spring arm and camera Lecture 24 23.Input mapping context Lecture 25 24.Input action Lecture 26 25.Going forward and backward Lecture 27 26.Move left and right Lecture 28 27.Look around Lecture 29 28.Jump Lecture 30 29.Animation blueprint Lecture 31 30.Animation blueprint event graph Lecture 32 31.State machine Lecture 33 32.BlendSpace Lecture 34 33.Jump and Fall Lecture 35 34.Land animation Section 3: 02.Fighter Jet Lecture 36 01.Create and Import Lecture 37 02.Wheeled vehicle blueprint Lecture 38 03.Look around fighter jet Lecture 39 04.Wheel setup Lecture 40 05.Aerofoil setup Lecture 41 06.Thruster setup Lecture 42 07.Arcade controll setup Lecture 43 08.Vehicle setup Lecture 44 09.Set thrust Lecture 45 10.Interp to Lecture 46 10.Set brake Lecture 47 11.Handbrake Lecture 48 12.Wheel animation Lecture 49 13.Wheel radius Lecture 50 14.Thrust VFX Lecture 51 15.Engine sound Lecture 52 16.Widget blueprint Lecture 53 17.Widget animation Lecture 54 18.Throttle UI Lecture 55 19.Set pitch input Lecture 56 20.Modify Bone Lecture 57 21.Pitch value Lecture 58 22.Aileron and elevator Lecture 59 23.Finterp to for pitch value Lecture 60 24.Roll input Lecture 61 25.Roll aileron and elevator Lecture 62 26.Finterp to for Roll Lecture 63 27.Yaw input Lecture 64 28.Rudder rotation Lecture 65 29.Rudder Yaw Finterp to Lecture 66 30.Front chasis joint Lecture 67 31.Hydrolics Lecture 68 32.Front gear door Lecture 69 33.rear doors Lecture 70 34.Left gear Lecture 71 35.Right gear Lecture 72 36.Timeline for gears Lecture 73 37.Open and close gears Lecture 74 38.Check altitute Lecture 75 39.Missiles and hardpoints Lecture 76 40.Missile Reload system Lecture 77 41.Other Missile Done Lecture 78 42.Missile blueprint Lecture 79 43.Missile meta sound Lecture 80 44.Missile sound attenuation Lecture 81 45.Missile explosion Lecture 82 46.Shoot missiles Lecture 83 47.Kill camera Lecture 84 48.Missile rotation Lecture 85 49.Track camera cancelation Lecture 86 50.Target class Lecture 87 51.homing missile Lecture 88 52.Targetting system Lecture 89 53.Targeting system UI Lecture 90 54.Destroy target event Lecture 91 55.Change target Lecture 92 56.Third target problem Lecture 93 57.Change target with input Lecture 94 58.Missile UI Lecture 95 59.Calculating GForce Lecture 96 60.Destroy Jet Lecture 97 61.Import sam system files Lecture 98 62.Radar blueprint Lecture 99 63.Radar door Lecture 100 64.Radar rotation Lecture 101 65.Radar lock on system Lecture 102 66.Radar hit event Lecture 103 67.Damage Radar Lecture 104 68.Missile system blueprint Lecture 105 69.Missile Looking up Lecture 106 70.Missile rod position Lecture 107 71.Connect radar system to missile system Lecture 108 72.Pass target to missile system Lecture 109 73.Missile system Rotation Lecture 110 74.Sam missile Lecture 111 75.Fire sam missile Lecture 112 76.Sam system collisions Lecture 113 77.Missile system bug fix Lecture 114 78.destroy fighter jet Lecture 115 79.fire all missiels Lecture 116 80.Destroy missile system Section 4: 03.Tank Lecture 117 01.Create and import Lecture 118 02.Tank gamemode Lecture 119 03.Wheel setup Lecture 120 04.Engine setup Lecture 121 05.Look up and down Lecture 122 06.Look left and right Lecture 123 07.Going forward Lecture 124 08.Going backward Lecture 125 09.Wheel animation Lecture 126 10.End wheels Lecture 127 11.Tank tracks Lecture 128 12.Tank track position Lecture 129 13.Going left and right Lecture 130 14.Track animation for turn in place Lecture 131 15.Handbrake Lecture 132 16.rotate turret joint Lecture 133 17.Calculate delta rotation Lecture 134 18.Gun pitch Lecture 135 19.Crosshair widget Lecture 136 20.Crosshair location Lecture 137 21.Tank projectile Lecture 138 22.Fire gun of tank Lecture 139 23.Gun visual effect Lecture 140 24.Add torque when firing Lecture 141 25.Fire recoil Lecture 142 26.Reload progress bar Lecture 143 27.Projectile explosion Lecture 144 28.Engine sound Lecture 145 29.Tank tracks sound Lecture 146 30.Tank UI widget Lecture 147 31.Import Arty files Lecture 148 32.Blueprint for Arty Lecture 149 33.Distance to tank Lecture 150 34.Target in range Lecture 151 35.Rotate arty Lecture 152 36.Predict where tank will be after one second Lecture 153 37.Arty Rotation Lecture 154 38.Arty projectile Lecture 155 39.Arty fire VFX Lecture 156 40.Arty gun motion Lecture 157 41.Apply damage in radius Lecture 158 42.Tank Health system Lecture 159 43.Health bar Lecture 160 44.Destroy tank Lecture 161 45.Arty get radial damage Lecture 162 46.Arty get destroyed Section 5: 04.Helicopter Lecture 163 01 Create project and import files Lecture 164 02 Create helli blueprint Lecture 165 03 Wheel setup Lecture 166 04 Wheel radius Lecture 167 05 Wheel rotation Lecture 168 06 Look up Down Lecture 169 07 Look left Right Lecture 170 08 Handbrake Lecture 171 09 Input action for moving up and moving down Lecture 172 10 Engine setup Lecture 173 11 Modify Rotor bone Lecture 174 12 Rotor rotation Lecture 175 13 Engine manager Lecture 176 14 Diffrent Rotor Speed Lecture 177 15 Finterp to Lecture 178 16 Hovering Lecture 179 17 Check height with line trace Lecture 180 18 Dust VFX location Lecture 181 19 Dust prop speed Lecture 182 20 Engine meta sound Lecture 183 21 Engine sound Lecture 184 22 check if we are on the ground Lecture 185 23 Engine shutdown Lecture 186 24 Go forward and backward Lecture 187 25 Move right and left Lecture 188 26 Turn in place Lecture 189 27 Helli missile Lecture 190 28 Missile Sound Lecture 191 29 Missile Explosion Lecture 192 30 Fire missile Lecture 193 31 Number of missile Lecture 194 32 Reload missiles Lecture 195 33 Missile UI Lecture 196 34 Crosshair Lecture 197 35 Anti air gun Blueprint Lecture 198 36 Modify gun bones Lecture 199 37 Calculate gun direction Lecture 200 38 Anti air gun projectile Lecture 201 39 Fire the guns Lecture 202 40 Randomize direction of projectiles Lecture 203 41 Anti air gun VFX Lecture 204 42 Gun fire sound Lecture 205 43 Helli health system Lecture 206 44 Health bar UI Lecture 207 45 Destroy Helli Lecture 208 46 Helli tip over damage Lecture 209 47 Projectile hit helli sound Lecture 210 48 Destroy anti Air Gun Lecture 211 49 Fix collision of anti air gun Lecture 212 50 Rear rotor movement Section 6: 05.Ship Lecture 213 01 Create project and make it ready for Ship Lecture 214 02 Ship blueprint Lecture 215 03 Ship pontoons Lecture 216 04 Input mapping Lecture 217 05 Moving forward and backward Lecture 218 06 Rotate blades Lecture 219 07 Force Factor Lecture 220 08 Blade rotation Lecture 221 09 Going left and right logic Lecture 222 10 Use force local to go right Lecture 223 11 Go left right smoother Lecture 224 12 Rotate ship gun Lecture 225 13 Gun camera Lecture 226 14 Switch between cameras Lecture 227 15 Rotate gun with controller Lecture 228 16 Gun line trace Lecture 229 17 Crosshair Lecture 230 18 Crosshiar visibility Lecture 231 19 gun fire conditions Lecture 232 20 Ship projectile Lecture 233 21 Ship projectile VFX Lecture 234 22 Fire calculated projectile Lecture 235 23 Gun fire VFX Lecture 236 24 Gun recoil Lecture 237 25 Gun Fire rate Lecture 238 26 Gun camera zoom Lecture 239 27 Anti ship blueprint Lecture 240 28 Box trace Lecture 241 29 Anti ship gun pitch Lecture 242 30 Check can shoot Lecture 243 31 Anti Ship projectile Lecture 244 32 Anti ship Projectile force and damage Lecture 245 33 Anti ship VFX Lecture 246 34 anti ship recoil Lecture 247 35 Apply damage to antiship Lecture 248 36 Destroy antiShip Lecture 249 37 Ship destroyed Lecture 250 38 Health UI Lecture 251 39 Fix bug Radial damage is not working Section 7: 06.Destruction Lecture 252 01 Create destruction project Lecture 253 02 APC blueprint Lecture 254 03 Wheel class Lecture 255 04 Look around APC with mouse Lecture 256 05 Go forward and backward Lecture 257 06 Handbrake Lecture 258 07 Wheel animation Lecture 259 08 Vehicle steering Lecture 260 09 modify gun bone Lecture 261 10 Calculate Gun rotation Lecture 262 11 APC projectile Lecture 263 12 Fire weapon Lecture 264 13 Hit physics body Lecture 265 14 Import destruction files Lecture 266 15 Fracture sphere Lecture 267 16 Fracture material Lecture 268 17 Damage threshhold Lecture 269 18 Damage with Projectile Lecture 270 19 Change power of explosion Lecture 271 20 Size of clusters Lecture 272 21 ExplotionVFX Lecture 273 22 Ancher fields Lecture 274 23 Attach two Geometry collection Lecture 275 24 Destroy ancher filed Lecture 276 25 3D files Folders Lecture 277 26 Fracture corner wall Lecture 278 27 Fracture middle wall Lecture 279 28 Fracture middle window Lecture 280 29 Fracture glasses Lecture 281 30 Fracture interior Lecture 282 31 Creating bulding part01 Lecture 283 32 Creating building part02 Lecture 284 33 Creating building part03 Lecture 285 34 Creating building part04 Lecture 286 35 Creating roof top Lecture 287 36 Roof gaps Lecture 288 37 Damage threshold Lecture 289 38 Convert building to blueprint Lecture 290 39 Adding ancher fileds Lecture 291 40 Initilization fields Lecture 292 41 Anchor filed for windows Explaining Lecture 293 42 Anchor filed for the rest of the windows Lecture 294 43 Fix falling part Lecture 295 44 Roof anchor fields Lecture 296 45 Explain smart projectile Lecture 297 46 Apply destructable damage Lecture 298 47 Find touched anchor fields Lecture 299 48 Anchor field to be destroyed Lecture 300 49 Destroy all overlapped anchor fields Lecture 301 50 Make destruction more real Lecture 302 51 APC Engine sound Section 8: 07.FPS Lecture 303 01.Create project and import files Lecture 304 02.FPS Blueprint Lecture 305 03.Look around Lecture 306 04.Go forward backward Lecture 307 05.Go left and right Lecture 308 06.Add gun Lecture 309 07.Sprinting Lecture 310 08.Animation blueprint Lecture 311 09.Get character speed Lecture 312 10.Blend spaces Lecture 313 11.Crosshair UI Lecture 314 12.Crosshair wings Lecture 315 13.Aiming Lecture 316 14.Start aiming Lecture 317 15.Aiming animations Lecture 318 16.Aim walking Lecture 319 17.Anim montages Lecture 320 18.Muzzle flash Lecture 321 19.Firing sound and shell eject Lecture 322 20.Line trace when we are aiming Lecture 323 21.Line trace for not aiming state Lecture 324 22.Return results Lecture 325 23.Fire tracer VFX Lecture 326 24.Fire Impact VFX Lecture 327 25.Gun burst mode Lecture 328 26.Print string tip Lecture 329 27.Ammo manager Lecture 330 28.Reload gun custom event Lecture 331 29.Fill up the magazine Lecture 332 30.Use Rest of the ammo in storage Lecture 333 31.Reload manualy Lecture 334 32.Reload animation Lecture 335 33.Reload sound Lecture 336 34.Firing when sprinting Lecture 337 35.Fix running and gunning Lecture 338 36.Ammo UI background Lecture 339 37.Horizental box widget Lecture 340 38.Ammo UI for magazine and storage Lecture 341 39.Update ammo UI Lecture 342 40.Ammo Item Lecture 343 41.Kraken blueprint Lecture 344 42.AI controller Lecture 345 43.Kraken Move to Lecture 346 44.Check if player is in range Lecture 347 45.Kraken chase player Lecture 348 46.Kraken get damage Lecture 349 47.Kraken health system Lecture 350 48.Kraken Health UI Lecture 351 49.Kraken Health bar Visibility Lecture 352 50.Kraken animation blueprint Lecture 353 51.Kraken death animation Lecture 354 52.move to decorator Lecture 355 53.Kraken Attack task Lecture 356 54.Kraken attack animations Lecture 357 55.Kraken damage player Lecture 358 56.Player health and shield system Lecture 359 57.Player health UI Lecture 360 58.Update health UI Lecture 361 59.Item type Lecture 362 60.Item pickup Lecture 363 61.Game over UI Lecture 364 62.Fottstep sound Lecture 365 63.Input not working after reset Section 9: 08.Jumpy Lecture 366 00.where this course is coming from Lecture 367 Install unreal engine Lecture 368 Create project Lecture 369 Create character class Lecture 370 Create gamemode Lecture 371 Enhanced input Lecture 372 Move Enhanced input Lecture 373 Going right or left check Lecture 374 Going forward and backward check Lecture 375 Move character Lecture 376 Control rotation and forward vector and right vector Lecture 377 Add controller yaw input Lecture 378 Add controller pitch input Lecture 379 Make movement better Lecture 380 Jump Lecture 381 Import animations Lecture 382 Idle state Lecture 383 Run state Lecture 384 BlendSpaces Lecture 385 Lean amount calculation Lecture 386 Finterp to Lecture 387 Air locomotion state machin Lecture 388 Jump state Lecture 389 Jump blend space Lecture 390 Fall state Lecture 391 Land states Lecture 392 Land rules Lecture 393 Create blueprint Lecture 394 Spline points Lecture 395 Control points Lecture 396 Duration Lecture 397 Create actor class Lecture 398 Elevator settings Lecture 399 Go to end location Lecture 400 Begin and End overlap event Lecture 401 Go to start location Lecture 402 Go to end location Lecture 403 End and start location variables Lecture 404 Go to end location smoothly Lecture 405 Go to start location smoothly Lecture 406 Tolerance in distance Lecture 407 Bug fix Lecture 408 create stomper blueprint Lecture 409 Timeline Lecture 410 Timeline setting Lecture 411 Push character Lecture 412 Bug fix Lecture 413 Fan blueprint class Lecture 414 Animate Fan Lecture 415 Timer on loop Lecture 416 Shoot the player Lecture 417 widget blueprint introduction Lecture 418 Show widget in game Lecture 419 Show Height UI Lecture 420 update height Lecture 421 Max height UI Lecture 422 Update max height Lecture 423 Progress bar UI Lecture 424 Coin UI Lecture 425 Increase Coin Lecture 426 Add coin for new max height Lecture 427 Item blueprint class Lecture 428 Random rotation Lecture 429 Collision settings Lecture 430 Pick item up Lecture 431 Pickup meta sound Lecture 432 Game system Lecture 433 Moving platform Lecture 434 Elevator Lecture 435 Stomper Lecture 436 Fan Lecture 437 Item Lecture 438 Package the game Lecture 439 Packaging fix Lecture 440 Opening projects Lecture 441 Door blueprint Lecture 442 Check player Lecture 443 Close and open door Lecture 444 Open and close door smoothly Lecture 445 Creating elevator V02 Lecture 446 Elevator being too fast Lecture 447 elevator going down Lecture 448 add jetpack mesh and FX Lecture 449 Turn on Thruster Lecture 450 Jetpack 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