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Free Download Udemy - STRUMMING SIMPLIFIED - 51 Guitar Rhythms For All Styles! MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English (US) | Size: 8.03 GB | Duration: 4h 13m Strumming and Fingerstyle for Acoustic Guitar & Electric Guitar - for Beginner to Advanced guitar players. What you'll learn 51 strumming and fingerstyle rhythms on Acoustic and Electric guitar Techniques for percussive strumming, palm muting, fingerpicking, and more How to play along with drums beats (In 3 different time signatures) Rhythms used in several different styles of music (Pop, Rock, Blues, Funk...) Keep a more consistent tempo in your playing How to play faster, and without fatigue Get a better feel out of your rhythms Requirements You only need to know a couple basic chords to get started! Just love playing your guitar :) Description Having trouble playing your favorite guitar tunes? Would you like to make your original songs much more interesting? Learn the essential rhythms and techniques in this course. There are 51 cool Strumming patterns and Finger-picking patterns, in ALL styles of music! Pop, Rock, Blues, Country, Indie, Metal, Funk...STRUMMING SIMPLIFIED demonstrates, in detail, how to play each Rhythm using a different musical example. Includes over 4 hours of video lessons, charts, tablature, drum beats to download, and more!The Benefits:Improve all aspects of your rhythm playing on Acoustic and Electric guitarPlay more interesting and complicated rhythmsLearn your favorite songs much more easilyCreate awesome original music with the all new rhythms you've learnedSing and play guitar at the same time much more easilyLearn to keep a more consistent tempoHave a better feel in your rhythmsPlay faster and more easily without fatigueAfter learning these 51 rhythms and the techniques behind them, you'll be able to tackle any rhythm you run into, or want to create, in the future! 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Free Download Udemy - Rest Assured + Java - API automation testing for beginners Published: 4/2025 Created by: Prabhu Ponnusamy MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 30 Lectures ( 4h 4m ) | Size: 2.26 GB One of the best Rest API automation courses by Automation Architect from a top product-based company-Real time, hands-on What you'll learn In-depth understanding of REST Assured Fundamentals from scratch Live Implementation of APIs in Industry with Practical Examples REST API Authentication Methods with Hands-On Examples OAuth2.0 Live Examples - Google and Spotify API Handle Complex JSON in Requests and Responses with Confidence Requirements A basic Java knowledge is sufficient. Description Welcome to Rest Assured with Java - API Automation Testing for Beginners!Are you looking to master API automation testing with Rest Assured and Java? Whether you're a beginner or an experienced tester looking to expand your skill set, this course will guide you step by step through the fundamentals of API testing and automation. Just basic java knowledge is sufficient to take this course..What you'll learn:In-depth understanding of REST Assured Fundamentals from scratch REST API Authentication Methods with Hands-On ExamplesHandle Complex JSON in Requests and Responses with ConfidenceLive Implementation of APIs in Industry with Practical ExamplesOAuth2.0 Live Examples - Google and Spotify APIBasics of API Testing and why it's importantSetting up Rest Assured with Java from scratchWriting and executing API test casesValidating responses, headers, and status codesWorking with authentication, authorization, and query parametersHandling complex API with real time examplesBest practices for API automationWhy Take This Course? Hands-on, practical approach with real-world examples Beginner-friendly, no prior API testing experience required Covers industry best practices and advanced testing techniques Helps you prepare for API automation roles in the industryThis course includes:Section 1 - Rest API fundamentals and key terms1. Overview of REST API and Its Role in Project Architecture2. Live Implementation of APIs in Industry with Practical Examples3. Why API testing is required4. Understanding HTTP Methods: GET, POST, PUT, and DELETE in APIs5. Understanding Path Parameters, Query Parameters, and Headers in REST APIsSection 2 - Java and Rest Assured Setup1. Installing Java and Configuring System Variables in Windows ad MAC2. Installing Eclipse and Setting Up a Maven Project3. Setting Up Rest Assured in a Maven Project Section 3 - Understanding HTTP Methods with Practical Examples1. Testing a GET API with Rest Assured2. Parsing and Utilizing the JSON Response Body with the JsonPath Class3. Testing a POST API with Rest Assured4. Testing a PUT API with Rest Assured5. Testing a DELETE API with Rest Assuredsection 4 - Deep Dive into Rest Assured Automation1. End-to-End Automation Flow with HTTP Methods2 Levels 1 & 2 complex - Handling JSON Responses with JSON Objects and JSON Arrays3. Processing Advanced JSON Responses with JSON Objects and JSON ArraysSection 5 - Implementing Authorization Mechanisms in Rest Assured1. Implementing Basic Authentication in Rest Assured2. Detailed Explanation of the OAuth 2.0 Workflow with Realtime example3. Implementing OAuth 2.0 Authentication in Rest AssuredBy the end of this course, you'll have a solid foundation in API automation testing and the confidence to apply your skills in real-world projects.So, let's get started and take your automation testing skills to the next level! Who this course is for Beginners in API Automation - Those who want to start API testing from scratch. 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Free Download Udemy - Research Methodology Course Published: 4/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 9m | Size: 1.21 GB Skills for Research Writing What you'll learn 1. Understand the foundational principles and types of research. 2. Select and define a feasible and relevant research topic. 3. Write a well-structured and persuasive research proposal. 4. Conduct a critical literature review. Requirements None Reading and writing. Description This course is designed to equip students with the essential skills and knowledge required to undertake academic research with confidence and competence. Through a step-by-step approach, students will explore the entire research process-from selecting a research topic to writing, documenting, analyzing data, and defending their research publicly. The course integrates both theoretical knowledge and practical skills in research methodology, academic writing, and presentation. By the end of the course, students will be prepared to produce a high-quality research paper and defend it effectively.Part 1: Fundamentals of ResearchPart 2: How to Select a Research TopicPart 3: Research ProposalPart 4: Review of LiteraturePart 5: Research MethodsPart 6: The Writing ProcessPart 7: DocumentationPart 8: Data Classification and InterpretationPart 9: General Qualities of a Good Research PaperPart 10: Preparing for Public DefenceCourse Objectives:By the end of this course, students should be able to:Understand the foundational principles and types of academic research.Select and define a feasible and relevant research topic.Write a well-structured and persuasive research proposal.Conduct a critical literature review.Distinguish between and apply appropriate research methods.Develop clear, academic, and original writing.Document sources ethically and accurately using standard referencing formats.Analyze and interpret research data effectively.Identify the key features of a high-quality research paper.Confidently prepare for and deliver a public research defense.Expected Learning Outcomes:Upon successful completion of this course, students will be able to:Design and execute a research project from inception to completion.Apply both qualitative and quantitative research methodologies.Write and present a research paper with scholarly precision.Demonstrate critical thinking, problem-solving, and analytical skills.Defend their research confidently in a public academic forum. Who this course is for This course is designed to equip students with the essential skills and knowledge research with confidence and competence. Through a step-by-step approach, students will explore the entire research process-from selecting a research topic to writing, documenting, analyzing data, and defending their research publicly. The course integrates both theoretical knowledge and practical skills in research methodology, academic writing, and presentation. By the end of the course, students will be prepared to produce a high-quality research paper and defend it effectively. Maximize their writing skills and productivity. Develop their analytical and critical thinking abilities. Homepage: https://www.udemy.com/course/research-methodology-course/ AusFile https://ausfile.com/u8i9b5tr4pn5/ftedz.Research.Methodology.Course.part2.rar.html https://ausfile.com/vuhudqngchbq/ftedz.Research.Methodology.Course.part1.rar.html Rapidgator Links Download https://rg.to/file/24ecd4f1d3e0783099b0c9233048f02e/ftedz.Research.Methodology.Course.part2.rar.html https://rg.to/file/7fa6c724ba18f0bb66f805e3a34ffda2/ftedz.Research.Methodology.Course.part1.rar.html Fikper Links Download https://fikper.com/GcVvVG6bYF/ftedz.Research.Methodology.Course.part1.rar.html https://fikper.com/LgK3zYjp1S/ftedz.Research.Methodology.Course.part2.rar.html No Password - Links are Interchangeable

Free Download Udemy - React Firebase & TanStack - Build Dynamic Web Apps 2025 Published: 4/2025 Created by: Kainaat Fida MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 13 Lectures ( 2h 3m ) | Size: 1.73 GB Master React.js, Firebase, TanStack, and Vite to Build Dynamic Web Apps - A Complete Guide to Modern Web Development What you'll learn Master React.js Fundamentals: Learn React.js core concepts like components, JSX, Virtual DOM, and create scalable single-page applications efficiently. Integrate Firebase Authentication, Firestore, and Storage into React apps, enabling real-time data syncing and secure user authentication for dynamic web apps. Leverage TanStack React Query to efficiently manage data fetching, caching, and synchronization, enhancing app performance and handling complex data needs. Build and deploy full-stack web applications using React, Firebase, and React Query, and host them on Firebase for scalable, production-ready apps. Requirements No prior coding expeBasic Knowledge of JavaScript: Familiarity with JavaScript fundamentals such as variables, functions, and control structures is helpful, but not mandatory.rience is required - this course is beginner-friendly! Familiarity with HTML/CSS: Basic understanding of HTML and CSS is recommended for building web pages and styling your React components. Willingness to Learn: This course is beginner-friendly, and no prior experience with React or Firebase is required. A curious mind and eagerness to learn are all you need! Description Learn to build dynamic, production-ready web applications using React.js, Firebase, and TanStack React Query in this comprehensive 2025 guide. This course is designed for developers who want to master modern web development practices and create real-time applications with a robust backend and seamless user experience.You'll begin with an introduction to React.js, covering fundamental concepts like components, JSX, and the Virtual DOM. Then, dive into Firebase, exploring services such as Authentication, Firestore, Storage, and Hosting to build powerful, scalable apps. Learn how to integrate Firebase with React for features like user authentication, data storage, file uploads, and more.In addition to Firebase, we'll introduce TanStack React Query, a powerful library for handling data fetching, caching, and synchronization in your app. You'll learn how to efficiently manage data with React Query, perform advanced Firestore queries, and implement pagination for large datasets.The course also covers essential topics like Firebase Cloud Functions for server-side logic, Firebase Security Rules for protecting your data, and role-based access control for managing user permissions.By the end of the course, you'll be able to build fully functional web apps with features such as user authentication, real-time data updates, file uploads, and more. With hands-on exercises and a final project, you'll gain the skills necessary to deploy and maintain your apps on Firebase Hosting. Start mastering modern web development today! Who this course is for Aspiring Web Developers: If you're looking to start your web development journey, this course will give you a solid foundation in React.js, Firebase, and modern web technologies. Frontend Developers: If you already know HTML, CSS, and JavaScript and want to level up your skills by learning how to build dynamic, real-time applications with React and Firebase, this course is for you. Full-Stack Development Enthusiasts: If you're interested in building both the frontend and backend of web applications, you'll learn how to integrate Firebase for powerful backend functionality and real-time data handling. Developers Wanting to Learn React and Firebase: Whether you're a beginner or have some experience with JavaScript, if you're eager to master React, Firebase, and data management with React Query, this course will help you gain hands-on expertise. 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Free Download Udemy - Quality Management and Compliance Published: 4/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 47m | Size: 454 MB Master ISO 9001, Process Automation & Risk Management for Business Efficiency & Regulatory Compliance What you'll learn Understand ERP, CRM, BPM & SCM - Learn how enterprise management systems integrate business processes to optimize efficiency and decision-making. Automate Business Processes - Discover how RPA, digital workflows, and AI-driven tools enhance productivity, reduce costs, and improve customer service. Master System Integration - Explore APIs, ETL, and middleware to connect platforms, streamline data flow, and eliminate redundancies in enterprise systems. Implement Compliance & Quality Management - Learn how QMS, GRC, and BPM ensure regulatory compliance, risk management, and continuous process improvement. Requirements No prior experience required - perfect for beginners and professionals. Basic understanding of business processes is helpful but not mandatory. A computer or mobile device with internet access to follow the lessons. Interest in enterprise systems, automation, and digital transformation. Description Gestão da Qualidade e Conformidade: Master ISO 9001 e Eficiência EmpresarialNo mercado competitivo de hoje, a gestão da qualidade e a conformidade regulatória são essenciais para o sucesso empresarial. Este curso fornece um guia completo para ISO 9001, automação de processos, gestão de riscos e conformidade regulatória , garantindo que sua organização atenda aos padrões globais enquanto otimiza a eficiência.Você aprenderá como implementar um Sistema de Gestão da Qualidade (QMS), conduzir auditorias internas e aprimorar a excelência operacional usando estratégias orientadas por dados. O curso também abrange as principais estruturas de conformidade, ajudando você a navegar pelos requisitos legais e pelas melhores práticas do setor.Por meio de estudos de caso do mundo real, você descobrirá como as principais empresas alcançam melhoria contínua, satisfação do cliente e vantagem competitiva alavancando princípios de gestão de qualidade. Também exploraremos People Analytics, metodologias Agile em RH e integração de software empresarial para melhorar a tomada de decisões e a produtividade da força de trabalho.Ao final deste curso, você será capaz de desenvolver e implementar estratégias de controle de qualidade, automatizar processos de conformidade e otimizar operações comerciais para sucesso a longo prazo.Este curso é ideal para gerentes de qualidade, responsáveis pela conformidade, líderes empresariais e profissionais que buscam aprimorar seus conhecimentos em garantia de qualidade e conformidade regulatória.Inscreva-se agora para dominar a ISO 9001, otimizar processos de negócios e alcançar excelência em gestão de qualidade!Inscreva-se agora para dominar a ISO 9001, otimizar processos de negócios e alcançar excelência em gestão de qualidade! Who this course is for Business professionals seeking to optimize enterprise operations. Entrepreneurs and managers looking to automate and integrate processes. IT specialists and analysts interested in business systems and automation. Students and beginners eager to learn about enterprise management solutions. Homepage: https://www.udemy.com/course/quality-management-and-compliance/ AusFile https://ausfile.com/5svju250qd9p/ccvri.Quality.Management.and.Compliance.rar.html Rapidgator Links Download https://rg.to/file/2f82810d88791ee377ae268059e6fcf9/ccvri.Quality.Management.and.Compliance.rar.html Fikper Links Download https://fikper.com/4euZx7WHS9/ccvri.Quality.Management.and.Compliance.rar.html No Password - Links are Interchangeable

Free Download Udemy - Product Management From Scratch - Master PM Skills & AI Tools Last updated: 4/2025 Created by: Gustaf Hard MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 162 Lectures ( 10h 21m ) | Size: 10.5 GB Go from fundamentals to AI-powered workflows using ChatGPT, Claude & Figma. Perfect for beginners or career switchers. What you'll learn Product Management Foundations: Agile, Scrum, SDLC, Vision & Strategy Practical PM Tools: Backlogs, User Stories, Roadmaps & Prioritization Soft Skills to Succeed: Communication, Stakeholder & Leadership Skills Real-World PM Life: Daily Routines, Challenges & Team Collaboration The Product Owner Role: Responsibilities, Tools & Agile Best Practices Working with Engineers: Build trust, communicate clearly & align on delivery Make Better Decisions with Data: Metrics, AARRR, A/B Testing & Analysis Using AI Customer Research: Use AI to Gather insights from users, feedback & competitors Land Your First PM Job: Resume, Job Search, Interview Prep & AI Tools for Mock Interviewing and Full Job Search Process Apply AI in Real PM Work: Solve Challenges with Guided Use Cases Using ChatGPT, Claude and other AI Tools AI-Powered Product Workflow: Step-by-Step Guidance from Idea to Launch Future-Proof Your Career: Trends & How the PM Role and Product Teams are Evolving Course Summary & Action Plan: Templates, Checklists & Next Steps Requirements No prior product management experience needed - this course is beginner-friendly No technical background required - we'll explain everything step-by-step An interest in building great products and solving real problems Curiosity about how AI can be used in modern product workflows A computer with internet access (to explore tools like ChatGPT, Figma, etc.) Optional: A free Notion, ChatGPT, Figma account for hands-on practice Description Want to break into one of the most in-demand and impactful roles in tech?This course is your complete, hands-on guide to becoming a confident, job-ready product manager or product owner - with AI integrated into every step.Whether you're starting from scratch, switching careers, or simply curious about what PMs and POs actually do, this course gives you a complete foundation - then takes you into real-world, AI-powered workflows used by top product teams.You'll learn directly from a senior product manager with experience across startups, cross-functional teams, and fast-paced product environments.What You'll LearnCore PM and PO skills: Agile, Scrum, roadmapping, backlog management, user stories, product strategy, and stakeholder leadershipHow to run the entire product development process - from idea to launchHow to collaborate with designers using Figma (full walkthrough included)How to use AI to supercharge every part of your workflowTools that we use: ChatGPT, Claude, Figma, Miro, Notion, and moreReal-world frameworks and scenarios from experienced product teamsJob prep: how to write your resume, prep for interviews, and land your first roleHow to use AI as your:Mock InterviewerPersonal Job Search AssistantCustom Cover Letter GeneratorEssential soft skills: communication, collaboration, leadership, and stakeholder managementInterview with a senior engineer on what makes a great PM from a dev's perspectiveAI-powered challenges and scenario-based exercises to sharpen your real-world decision-makingAI-Powered Product Management - Step by StepThis isn't just a course about AI - it's about how to use it in the real world as a modern PM:Build your own AI Copilot using ChatGPT & ClaudeFollow end-to-end workflows, from product idea to launchAutomate user research, competitor analysis, and market insightsAnalyze customer feedback, usage data, and large datasetsPrepare for stakeholder meetings and write high-impact product briefs with AIBrainstorm, validate, and refine product ideas using Claude and ChatGPT in tandemCreate documentation faster: specs, PRDs, meeting notes, user storiesRun mock interviews, prep product cases, and generate your resume + cover letterUse 30+ proven ChatGPT prompts built specifically for product managers and ownersApply AI across your daily work - with real examples, tools, and templatesCourse Format140+ short, focused video lessonsOver 10 hours of actionable contentStep-by-step structure with key takeaways after every sectionExtra section: advanced AI use cases, mindset shifts, and PM best practicesAI challenges throughout the course to help you practice and apply what you learnInstant access to templates, checklists, and real-world tools you can start using on Day 1By the end of this course, you won't just understand what product managers and product owners do -you'll be ready to become one. With AI as your edge.Let's get to work. 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Free Download Udemy - Pre-Coding Bootcamp - Your First Step to Become a Programmer Published: 4/2025 Created by: Ardit Sulce MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitles | Duration: 46 Lectures ( 4h 49m ) | Size: 2.5 GB Feeling lost in coding courses? This course fills the gaps beginners face-tools, concepts, and how programming works. What you'll learn The different types of programs you can build (websites, GUIs, automation, etc.) How to use the terminal to navigate files and run commands Core tools every developer uses: editors, IDEs, Git, and databases Key data formats: CSV, JSON, and XML, and when to use them How to break down problems like a programmer Core programming concepts: variables, data types, loops, and functions What web servers, APIs, and deployment really mean The solid foundation you need to start coding with confidence Requirements No prior programming or technical experience is required. Curiosity and a willingness to learn how programming works behind the scenes. Description Are you learning to code but still feel confused and stuck?Most programming courses throw you straight into code assuming you already understand things like the terminal, file paths, Git, JSON files, and APIs. If you've ever paused a tutorial to look up confusing terms or felt lost before the code even started - this course is made for you.This is not a coding course. It's a pre-programming course - designed to give you the foundation every future programmer needs, but few ever get. This is the best investment you will make because it will pay off by avoiding knowledge gaps in your path to becoming a programmer. What you'll learnGet to know the different types of programs you can create: web apps, desktop apps, APIs, automation, and more.How to use the terminal/command line like a real developer.The difference between code editors and IDEs, and how to choose the right one.How files like CSV, JSON, and XML are used in real-world programming.The basics of databases, both relational and NoSQL.How Git and GitHub help developers collaborate and track code history.The core concepts of programming (variables, data types, loops, functions) from a computer science perspective.How to break down real-world problems and plan programs logically - before ever touching code.What web servers, APIs, and deployment really mean.Where to go next: choosing your language, building your portfolio.Who this course is for This course is intended for beginners who want to learn programming. If you haven't started a programming language course, this course is the first step. If you have started a programming language course, take this course at the same time as a companion course and you will see that many things in the programming language you are learning will finally make sense. By the end of this course, you will understand the world of programming, know how real developers work, and feel fully prepared to learn your first programming language. Who this course is for Absolute beginners Non-technical professionals Homepage: https://www.udemy.com/course/pre-coding-bootcamp-your-first-step-to-become-a-programmer/ AusFile https://ausfile.com/edqm2r8mehvl/llplv.PreCoding.Bootcamp.Your.First.Step.to.Become.a.Programmer.part2.rar.html https://ausfile.com/ky88tzs7tg5x/llplv.PreCoding.Bootcamp.Your.First.Step.to.Become.a.Programmer.part3.rar.html https://ausfile.com/mli3gj649r8i/llplv.PreCoding.Bootcamp.Your.First.Step.to.Become.a.Programmer.part1.rar.html Rapidgator Links Download https://rg.to/file/01e40f5560d56edd9e0eade4cbfa79d3/llplv.PreCoding.Bootcamp.Your.First.Step.to.Become.a.Programmer.part1.rar.html https://rg.to/file/4c5b384448ec9f242bbc5614041a2f18/llplv.PreCoding.Bootcamp.Your.First.Step.to.Become.a.Programmer.part3.rar.html https://rg.to/file/c832762f9d80b446790b77c3547595d4/llplv.PreCoding.Bootcamp.Your.First.Step.to.Become.a.Programmer.part2.rar.html Fikper Links Download https://fikper.com/bOZCe9Ni5b/llplv.PreCoding.Bootcamp.Your.First.Step.to.Become.a.Programmer.part1.rar.html https://fikper.com/kNmbmrCwcz/llplv.PreCoding.Bootcamp.Your.First.Step.to.Become.a.Programmer.part3.rar.html https://fikper.com/s3DXw3FBps/llplv.PreCoding.Bootcamp.Your.First.Step.to.Become.a.Programmer.part2.rar.html No Password - Links are Interchangeable

Free Download Udemy - Performance Management with Generative AI for HR & Managers Published: 4/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 2h 14m | Size: 1.18 GB OKR with AI | SMART Goals Automation | AI Performance Review | Generative AI in HR | Employee Evaluation Tools What you'll learn Use AI tools to automate the entire performance management cycle: from goal setting to feedback and development Apply SMART goals and OKRs with the help of AI platforms like Betterworks and Marissa AI Monitor employee performance in real-time using predictive analytics and tools such as Mesh and Intelogos Conduct fair and objective performance evaluations through AI-driven assessments and feedback platforms Enhance one-on-one meetings and performance review sessions with actionable insights from Lattice and Peoplebox Design personalized development plans and career tracks using Marissa AI and 15Five Integrate AI systems into existing HR processes for continuous performance improvement Measure the ROI of performance interventions and AI tools using advanced metrics and KPIs Requirements No prior experience with artificial intelligence is required Basic understanding of HR and performance management processes is helpful but not mandatory Suitable for both HR professionals and managers at all levels Access to a computer or tablet with internet connection Willingness to explore and test new digital tools and platforms Curiosity and openness to using AI to improve workplace processes Description Revolutionize How You Manage Performance - Using Generative AITired of outdated performance reviews that waste time and deliver zero impact?What if you could use AI to set goals, track productivity, and even write feedback - all in minutes?Welcome to the future of performance management.In this course, you'll master how to integrate Generative AI into every stage of the performance management cycle - from OKRs and SMART goals to employee evaluations, one-on-ones, and personalized development plans.Whether you're an HR leader, a team manager, or a business owner - this course gives you the exact tools, AI systems, and workflows top companies use to evaluate, grow, and retain talent.What You Will Learn• Automate SMART goals and OKRs using AI tools• Monitor real-time performance with predictive analytics• Run objective, bias-free performance reviews• Use AI-generated feedback and reports• Conduct efficient, data-backed one-on-one meetings• Create personalized employee development plans• Seamlessly integrate AI tools into your current HR tech stack• Use metrics and KPIs to evaluate AI impact on productivityFull Course ProgramClass 1: Goal Setting Using AI• AI in SMART goals and OKRs• Tools: Betterworks, Marissa AI, Sloneek for goal automationClass 2: Performance Monitoring and Data Analysis• Real-time performance tracking• Predictive analytics• Tools: Mesh (Nudges), Intelogos, Skilla aiClass 3: Employee Assessment and AI Review Preparation• Designing AI-friendly evaluation forms• Structuring input data• Tools: Effy AI, 15Five, SloneekClass 4: AI-Powered One-on-One Meetings and Review Outcomes• Optimizing performance conversations• Automated insights from AI tools• Tools: Lattice, Peoplebox, Marissa AIClass 5: Development Planning with AI• Creating data-driven career paths• Personalized learning and growth plans• Tools: Marissa AI, 15Five, BetterworksClass 6: Full AI Integration in Performance Management• Embedding AI into HR systems• Automating performance cycles• Measuring success with AI metrics• Tools: Intelogos, Skilla ai, PeopleboxWhy This Course Is DifferentUnlike other theory-heavy HR courses, this one is packed with real tools, live walkthroughs, and AI use cases. You'll see how leading companies actually implement performance management with AI - and how you can, too.Ready to future-proof your performance management process?Enroll now and start managing smarter with AI - before your competitors do. Who this course is for HR professionals looking to modernize performance management with AI tools People managers who want to improve team effectiveness and employee development Talent management and L&D specialists aiming to personalize development plans using AI Business leaders seeking data-driven insights into employee performance and productivity Companies exploring how to integrate AI into HR processes for better decision-making Anyone interested in using artificial intelligence to automate goal setting, feedback, and performance reviews Professionals preparing for the future of work and digital transformation in HR Homepage: https://www.udemy.com/course/performance-management-with-generative-ai-for-hr-managers/ AusFile https://ausfile.com/9hjnw6z1zohn/wegvz.Performance.Management.with.Generative.AI.for.HR..Managers.part2.rar.html https://ausfile.com/c9jovb0tpki8/wegvz.Performance.Management.with.Generative.AI.for.HR..Managers.part1.rar.html Rapidgator Links Download https://rg.to/file/bed8817871ea998ec5de2c4ae16aec79/wegvz.Performance.Management.with.Generative.AI.for.HR..Managers.part1.rar.html https://rg.to/file/eab30ab244d6c5a4b11160ad61c63775/wegvz.Performance.Management.with.Generative.AI.for.HR..Managers.part2.rar.html Fikper Links Download https://fikper.com/BpH2KohXXb/wegvz.Performance.Management.with.Generative.AI.for.HR..Managers.part1.rar.html https://fikper.com/PgLHF4Y300/wegvz.Performance.Management.with.Generative.AI.for.HR..Managers.part2.rar.html No Password - Links are Interchangeable

Free Download Udemy - Machine Learning - Random Forest, Adaboost & Decision Tree 2025-02-25 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English (US) | Size: 1.77 GB | Duration: 2h 58m Learn Advanced Machine Learning on Random Forest, Adaboost, Decision Trees Hands-on What you'll learn Knowing how to write a Python code for Random Forests. Implementing AdaBoost using Python. Having a solid knowledge about decision trees and how to extend it further with Random Forests. Understanding the Machine Learning main problems and how to solve them. Understanding the differences between Bagging and Boosting. Reviewing the basic terminology for any machine learning algorithm. Requirements Python basics NumPy, Matplotlib, Sci-Kit Learn Basic Probability and Statistics Description In recent years, we've seen a resurgence in AI, or artificial intelligence, and machine learning.Machine learning has led to some amazing results, like being able to analyze medical images and predict diseases on-par with human experts.Google's AlphaGo program was able to beat a world champion in the strategy game go using deep reinforcement learning.Machine learning is even being used to program self driving cars, which is going to change the automotive industry forever. Imagine a world with drastically reduced car accidents, simply by removing the element of human error.Google famously announced that they are now "machine learning first", and companies like NVIDIA and Amazon have followed suit, and this is what's going to drive innovation in the coming years.Machine learning is embedded into all sorts of different products, and it's used in many industries, like finance, online advertising, medicine, and robotics.It is a widely applicable tool that will benefit you no matter what industry you're in, and it will also open up a ton of career opportunities once you get good.Machine learning also raises some philosophical questions. Are we building a machine that can think? What does it mean to be conscious? Will computers one day take over the world?This course is all about ensemble methods.In particular, we will study the Random Forest and AdaBoost algorithms in detail.To motivate our discussion, we will learn about an important topic in statistical learning, the bias-variance trade-off. We will then study the bootstrap technique and bagging as methods for reducing both bias and variance simultaneously.All the materials for this course are FREE. You can download and install Python, NumPy, and SciPy with simple commands on Windows, Linux, or Mac.This course focuses on "how to build and understand", not just "how to use". Anyone can learn to use an API in 15 minutes after reading some documentation. It's not about "remembering facts", it's about "seeing for yourself" via experimentation. It will teach you how to visualize what's happening in the model internally. If you want more than just a superficial look at machine learning models, this course is for you. Who this course is for Aspiring Data Scientists, Artificial Intelligence/Machine Learning/ Engineers, Student's/Professionals who have some basic knowledge in Machine Learning and want to know about the powerful models like Random Forest, AdaBoost, Entrepreneurs, professionals, and students who want to learn, and apply data science and machine learning to their work Homepage: https://www.udemy.com/course/random-forest-adaboost-decision-trees-in-machine-learning/ AusFile https://ausfile.com/x6hhx0222sge/ixtov.Machine.Learning.Random.Forest.Adaboost..Decision.Tree.part2.rar.html https://ausfile.com/yjeaf1064qr1/ixtov.Machine.Learning.Random.Forest.Adaboost..Decision.Tree.part1.rar.html Rapidgator Links Download https://rg.to/file/88531164dc4d3fd1fb309b2e02fa1464/ixtov.Machine.Learning.Random.Forest.Adaboost..Decision.Tree.part1.rar.html https://rg.to/file/fcb08ac42357125c5ecd783ac1586b38/ixtov.Machine.Learning.Random.Forest.Adaboost..Decision.Tree.part2.rar.html Fikper Links Download https://fikper.com/8z3d32cVfy/ixtov.Machine.Learning.Random.Forest.Adaboost..Decision.Tree.part2.rar.html https://fikper.com/Zebbtpptcl/ixtov.Machine.Learning.Random.Forest.Adaboost..Decision.Tree.part1.rar.html No Password - Links are Interchangeable

Free Download Udemy - Java Game Development by Prashant S Jadhav Published: 4/2025 Created by: Prashant S Jadhav MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 38 Lectures ( 2h 11m ) | Size: 1.5 GB Learn to develop games in Java step by step from scratch. We will start from the very basic "Hello World" program. What you'll learn How to write shortest code to create 2D games in Java. Starting with just 4-5 lines to display shapes. How to make use of keyboard and mouse events to control animations. How to make various animations with shapes and images. How to make your complete project right from scratch to end. Requirements JDK (Java Development Kit), Visual Studio Code or Netbeans or any other IDE Basic understanding of OOPS and Java Programming Description Java Game Development Course: Create Fun Games with Less Code!Want to build awesome games without writing endless lines of code? This course is perfect for you! I'll guide you through the fundamentals of Java game development with a focus on simplicity and efficiency. Whether you're a beginner or looking to sharpen your skills, you'll learn how to bring your game ideas to life, step by step.What Practically You'll Learn:- Drawing Shapes: Master basic game graphics by creating simple shapes rectangles, ovals, squares and circles.- Working with Images: Learn how to use images and backgrounds to give your games a polished look.- Sound Effects: Add exciting audio to your games with easy-to-implement sound effects.- Moving Objects: Create dynamic, moving elements that bring your game world to life.- Double Buffering & Smooth Animations: Discover techniques to achieve smooth animations and ensure stable FPS for a polished experience.- Mouse & Keyboard Events: Learn how to capture mouse clicks and keyboard input for interactive gameplay.- Collision Detection: Implement basic collision detection to handle player-object interactions like hitting walls or collecting items.- Buttons & Menus: Build functional menus, buttons, and UI elements to make your game easy to navigate.- And More Cool Topics: We'll cover a range of exciting and practical topics to give you the tools to create engaging games.Hands-On Learning:This course isn't just theory-I'll guide you through the development of two complete games from start to finish. You'll apply everything you learn in real, playable projects, giving you the confidence and experience to create your own games.By the end of this course, you'll have a strong understanding of Java game development and a portfolio of games to showcase your skills. Get ready to bring your game ideas to life with less coding and more fun! Who this course is for 1) One who has some knowledge of Java programming and wants to utilize it further in a creative way, 2) Students who want to create their game project for their final year project submission, 3) One who is a hobbyist and want to know how game development is done. Homepage: https://www.udemy.com/course/java-game-dev/ AusFile https://ausfile.com/d2k2de6xbxfx/pwwjr.Java.Game.Development.2025.part1.rar.html https://ausfile.com/k23muyct6qxd/pwwjr.Java.Game.Development.2025.part2.rar.html Rapidgator Links Download https://rg.to/file/2dea3ab6211ba720544b4ca149feb102/pwwjr.Java.Game.Development.2025.part1.rar.html https://rg.to/file/eb6e495bceec490b68542620b69ca5e0/pwwjr.Java.Game.Development.2025.part2.rar.html Fikper Links Download https://fikper.com/fa3WuT5Igw/pwwjr.Java.Game.Development.2025.part2.rar.html https://fikper.com/hWHV8mNKPt/pwwjr.Java.Game.Development.2025.part1.rar.html No Password - Links are Interchangeable

Free Download Udemy - Identifying Causal Effects for Data Scientists Published: 4/2025 Created by: Zach Flynn MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English | Duration: 13 Lectures ( 2h 1m ) | Size: 1.3 GB Causal Inference from First Principles Using Methods like Instrumental Variables and Difference-in-Differences and More What you'll learn Measure the causal impact of treatments for product analytics and policy evaluation Think through causal inference problems from first principles Map information you know about the world and the industry you work in into measures of causal impacts Distinguish between what the data tells you about causal effects and what comes via your assumptions Translate knowledge about how an industry or product works into bounds on treatment effects Think carefully and deductively about making inference on treatment effects Use instrumental variables with both heterogenous treatment effects and homogenous effects Use the Conditional Independence Assumption to Identify Average Treatment Effects and the risks and potential bias from using the assumption Use the parallel trends assumption to motivate difference-in-difference estimation, the downsides of the assumption, and a more robust alternative Requirements Basic statistics and probability. CDFs. Conditional Expectations. Useful to have some background on linear regression. Not a math-heavy course. Some algebra and basic properties of probability and expectations. Description The most common question you'll be asked in your career as a data scientist is: What was/is/will be the effect of X? In many roles, it's the only question you'll be asked. So it makes sense to learn how to answer it well.This course teaches you how to identify these "treatment effects" or "causal effects". It teaches you how to think about identifying causal relationships from first principles. You'll learn to ask:What does the data say by itself?What do I know about the world that the data doesn't know?What happens when I combine that knowledge with the data?This course teaches you how to approach these three questions, starting with a blank page. It teaches you to combine your knowledge of how the world works with data to find novel solutions to thorny data analysis problems.This course doesn't teach a "cookbook" of methods or some fixed procedure. It teaches you to think through identification problems step-by-step from first principles. As for specifics:This course takes you through various weak assumptions that bound the treatment effect-oftentimes, the relevant question is just: "Is the treatment effect positive?"-and stronger assumptions that pin the treatment effect down to a single value. We learn what the data alone-without any assumptions-tells us about treatment effects, and what we can learn from common assumptions, like:Random treatment assignment (Experimentation)Conditional independence assumptions (Inverse propensity weighting or regression analysis)Exclusion restrictions (Instrumental variable assumptions)Repeated Measurement assumptionsParallel Trends (Difference-in-difference)And many assumptions you will probably not see in other courses, like:Monotone instrumental variablesMonotone confoundingMonotone treatment selectionMonotone treatment responseMonotone trends(Why do they all include "monotone" in the name? The answer to that question is beyond the scope of this course.)Lectures include lecture notes, which make it easy to review the math step by step. The course also includes quizzes and assignments to practice using and applying the material.My background: I have a PhD in Economics from the University of Wisconsin - Madison and have worked primarily in the tech industry. I'm currently a Principal Data Scientist, working mainly on demand modeling and experimentation analysis problems-both examples of treatment effect estimation! I am from sunny San Diego, California, USA. I hope you'll try the Preview courses and enroll in the full course! I'm always available for Q/A.-Zach Who this course is for Data Scientists looking to expand their repertoire of methods for estimating causal effects Data Scientists looking to improve their skills to derive novel approaches for measuring causal effects from first principles People who know statistics but want to learn how to think carefully about identifying causal treatment effects Anyone who wants to better understand how assumptions and data work together to identify treatment effects Homepage: https://www.udemy.com/course/identifying-causal-effects-for-data-scientists/ AusFile https://ausfile.com/2s604d411ik0/nlbge.Identifying.Causal.Effects.for.Data.Scientists.part1.rar.html https://ausfile.com/4ez3x3ae19wy/nlbge.Identifying.Causal.Effects.for.Data.Scientists.part2.rar.html Rapidgator Links Download https://rg.to/file/03cccf48e4427376340e9babccb51c6f/nlbge.Identifying.Causal.Effects.for.Data.Scientists.part1.rar.html https://rg.to/file/3fa803db5067138cf3b9cc7ddd52f301/nlbge.Identifying.Causal.Effects.for.Data.Scientists.part2.rar.html Fikper Links Download https://fikper.com/EOCW1DjLN3/nlbge.Identifying.Causal.Effects.for.Data.Scientists.part1.rar.html https://fikper.com/yoP2TPiXgI/nlbge.Identifying.Causal.Effects.for.Data.Scientists.part2.rar.html No Password - Links are Interchangeable

Free Download Udemy - Hands on Cisco Packet Tracer - Setup a Hub and Spoke Network Last updated: 4/2025 Created by: Dan Mill MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 31 Lectures ( 2h 38m ) | Size: 1.1 GB Master Hub-and-Spoke Networking with Cisco Packet Tracer - Hands-on Labs for Real-World Skills! What you'll learn How to design and build a Hub and Spoke network using Cisco Packet Tracer from scratch. Configuring switches and routers for proper connectivity IP Addressing and Subnetting to efficiently allocate IPs and avoid conflicts. Implementing essential network services like DHCP, NAT, and DNS to support business operations. Troubleshooting and optimizing network performance using real-world troubleshooting techniques. Simulating real-life business scenarios to gain hands-on experience in managing a professional network. Requirements Basic understanding of networking concepts (helpful but not required-everything will be explained step by step). A computer with Cisco Packet Tracer installed (free software download link will be provided in the course). Willingness to learn through hands-on practice-this is a practical, lab-based course. No prior Cisco experience is required, but familiarity with networking fundamentals can be beneficial. Description Are you looking to enhance your networking skills and gain hands-on experience with Cisco Packet Tracer? This course is designed to give you a practical, step-by-step guide to setting up a Hub-and-Spoke network, a widely used topology in enterprise networking.In this course, you will learn how to:Understand the Hub-and-Spoke topology and its real-world applicationsConfigure routers and establish connectivity between remote sitesImplement and verify routing protocols to ensure efficient data flowTroubleshoot common networking issues in a simulated environmentThis course is ideal for networking students, IT professionals, and aspiring network engineers who want to build confidence in configuring and managing networks. Using Cisco Packet Tracer, a powerful simulation tool, we'll take a hands-on approach to designing, configuring, and testing network connectivity.By the end of the course, you'll have practical experience setting up a Hub-and-Spoke network, along with the knowledge to apply these skills in real-world scenarios. Whether you're preparing for networking certifications or looking to strengthen your technical expertise, this course will provide the foundation you need to succeed.No prior experience with Cisco Packet Tracer? No problem! I'll guide you through each step, making it easy to follow along and gain valuable networking experience.Let's get started and build your networking skills today! Who this course is for By the end of this course, students will be able to confidently design, configure, and troubleshoot Hub and Spoke networks, preparing them for real-world IT roles or Cisco certification exams. Homepage: https://www.udemy.com/course/setup-a-hub-and-spoke-network/ AusFile https://ausfile.com/kh3uyk40ehkh/nzfrj.Hands.on.Cisco.Packet.Tracer.Setup.a.Hub.and.Spoke.Network.part1.rar.html https://ausfile.com/mpkpq27zquvt/nzfrj.Hands.on.Cisco.Packet.Tracer.Setup.a.Hub.and.Spoke.Network.part2.rar.html Rapidgator Links Download https://rg.to/file/60facf295fc923c5dff990ed2f80958b/nzfrj.Hands.on.Cisco.Packet.Tracer.Setup.a.Hub.and.Spoke.Network.part1.rar.html https://rg.to/file/dc84e826d05237eb294ea22a6e2384c1/nzfrj.Hands.on.Cisco.Packet.Tracer.Setup.a.Hub.and.Spoke.Network.part2.rar.html Fikper Links Download https://fikper.com/8res7lBEpr/nzfrj.Hands.on.Cisco.Packet.Tracer.Setup.a.Hub.and.Spoke.Network.part1.rar.html https://fikper.com/q9L9DKh5JH/nzfrj.Hands.on.Cisco.Packet.Tracer.Setup.a.Hub.and.Spoke.Network.part2.rar.html No Password - Links are Interchangeable

Free Download Udemy - Full AWS Security Course by Liang Yang Loi Published: 4/2025 Created by: Liang Yang Loi MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 23 Lectures ( 6h 33m ) | Size: 6 GB Complete guide to mastering security in the AWS Cloud. What you'll learn Cloud Security AWS Security Threat Detection in the Cloud AWS Requirements Basic IT Knowledge Description Welcome to the Full AWS Security Course - your complete guide to mastering security in the AWS Cloud. Whether you're a security analyst, cloud engineer, solutions architect, or just starting out in cloud security, this course is designed to take you from the fundamentals to advanced techniques used by professionals in the field.You'll learn how to secure real-world AWS environments using best practices, hands-on labs, and deep dives into key services such as IAM, VPC, GuardDuty, Security Hub, AWS WAF, and more. We'll cover everything from the Shared Responsibility Model to multi-account security strategies, threat detection, incident response, secure networking, and identity management.This course is not just theory. You'll gain practical, job-ready skills to detect misconfigurations, respond to threats, implement zero trust, and build secure cloud architectures. Whether you're preparing for AWS Security Specialty certification or working toward becoming a Cloud Security Engineer, this course provides a solid foundation.By the end, you'll be able to confidently assess and harden AWS environments against real-world attacks - just like top security teams do in enterprise and regulated environments.Learn from cybersecurity expert Hacker Loi, a cloud security leader with all 14 x AWS certifications. With real-world experience and hands-on demos, he breaks down complex AWS security concepts into practical skills you can use to secure your cloud like a pro. Who this course is for Solutions Architect Cloud Engineer Cloud Security Engineer Homepage: https://www.udemy.com/course/aws-security-course/ AusFile https://ausfile.com/2wa5b0q5l0n0/zurgx.Full.AWS.Security.Course.part2.rar.html https://ausfile.com/bqzg51yxeh5e/zurgx.Full.AWS.Security.Course.part4.rar.html https://ausfile.com/f7ju9nfiq1e0/zurgx.Full.AWS.Security.Course.part5.rar.html https://ausfile.com/nshh8mtt535b/zurgx.Full.AWS.Security.Course.part7.rar.html https://ausfile.com/o7h244sxf143/zurgx.Full.AWS.Security.Course.part1.rar.html https://ausfile.com/pf3ytscs9eqz/zurgx.Full.AWS.Security.Course.part3.rar.html https://ausfile.com/rv7zcv6p66qv/zurgx.Full.AWS.Security.Course.part6.rar.html Rapidgator Links Download https://rg.to/file/0e8e574fbacc69ee659045a0e9caf8bb/zurgx.Full.AWS.Security.Course.part4.rar.html https://rg.to/file/227743a8ab7f3b197ffdb5ca1ec0ad25/zurgx.Full.AWS.Security.Course.part5.rar.html https://rg.to/file/58f3d6109eb10eae23a539255bf58745/zurgx.Full.AWS.Security.Course.part1.rar.html https://rg.to/file/70ffc323b9623e7124c418db525b2731/zurgx.Full.AWS.Security.Course.part2.rar.html https://rg.to/file/781dfba207243016cc7ec1c2c1a724ff/zurgx.Full.AWS.Security.Course.part7.rar.html https://rg.to/file/bbecb88c95611f5cbef0a815b5f1173d/zurgx.Full.AWS.Security.Course.part3.rar.html https://rg.to/file/d231e461806fc971f87770f25f067187/zurgx.Full.AWS.Security.Course.part6.rar.html Fikper Links Download https://fikper.com/26Z5qG3Y6T/zurgx.Full.AWS.Security.Course.part6.rar.html https://fikper.com/6cZlsjl7EL/zurgx.Full.AWS.Security.Course.part7.rar.html https://fikper.com/8N77OzaZn8/zurgx.Full.AWS.Security.Course.part5.rar.html https://fikper.com/Gg1aCcVx50/zurgx.Full.AWS.Security.Course.part1.rar.html https://fikper.com/PwxR8Rh52b/zurgx.Full.AWS.Security.Course.part3.rar.html https://fikper.com/RvONV5UmeJ/zurgx.Full.AWS.Security.Course.part4.rar.html https://fikper.com/T6NO86Ueuv/zurgx.Full.AWS.Security.Course.part2.rar.html No Password - Links are Interchangeable

Free Download Udemy - First Order and Second Order Linear Differential Equations Published: 4/2025 Created by: Anshuman Sharma,Ayush Goyal MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English | Duration: 56 Lectures ( 4h 33m ) | Size: 1.34 GB Diffrential Equations What you'll learn Solving first order ordinary differential equation using various methods Solving second order differential equation Operator method to solve second order differential equation and find particular solution solving system of first order differential equations Requirements Knowledge of basic calculus , like limits , derivatives , differentiation techniques , definite and indefinite integration Description Course Title: Methods to Solve First and Second Order Differential Equations & Systems of First-Order EquationsDifferential equations play a fundamental role in mathematics, physics, engineering, and numerous real-world applications. This course is designed to provide a comprehensive understanding of first and second-order differential equations, covering various solution techniques essential for students, researchers, and professionals.We begin with an introduction to first-order differential equations, exploring methods such as separation of variables, integrating factors, and exact equations.Moving on to second-order differential equations, we delve into homogeneous and non-homogeneous cases. The course covers characteristic equations, the method of undetermined coefficients, and variation of parameters.The final section of the course introduces systems of first-order differential equations, an essential topic for modelling complex dynamic systems.Each module is structured with step-by-step explanations, worked-out examples, and problem-solving exercises to reinforce learning. By the end of the course, you will be equipped with analytical techniques to confidently solve first and second-order differential equations and apply them to various scientific and engineering disciplines.Whether you're a student, engineer, or researcher, this course will help you confidently tackle differential equation problems and apply them to real-world scenarios.Join us in mastering these essential mathematical tools and take your problem-solving skills to the next level! Who this course is for All engineering disciplines Bsc , MSc students Statistics and data science Finance and actuarial sciences Homepage: https://www.udemy.com/course/first-order-and-second-order-linear-differential-equations/ AusFile https://ausfile.com/76imwgeo49oh/ykrhd.First.Order.and.Second.Order.Linear.Differential.Equations.part1.rar.html https://ausfile.com/wkzej41jqhu0/ykrhd.First.Order.and.Second.Order.Linear.Differential.Equations.part2.rar.html Rapidgator Links Download https://rg.to/file/0d43290a002c41b4779065591394b89c/ykrhd.First.Order.and.Second.Order.Linear.Differential.Equations.part1.rar.html https://rg.to/file/fe8c0c03ddfe23dcac929c50c14c5eb1/ykrhd.First.Order.and.Second.Order.Linear.Differential.Equations.part2.rar.html Fikper Links Download https://fikper.com/8AWZO7U1fx/ykrhd.First.Order.and.Second.Order.Linear.Differential.Equations.part2.rar.html https://fikper.com/NSmxmKzPkn/ykrhd.First.Order.and.Second.Order.Linear.Differential.Equations.part1.rar.html No Password - Links are Interchangeable

Free Download Udemy - DHCP On Windows Server 2025 Inside Out 100% Labs Last updated: 4/2025 Created by: Network Specialist (Professor Mo Max) MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 52 Lectures ( 6h 29m ) | Size: 2.37 GB Learn How To Manage/Configure DHCP On 2025 As Working In The Field. (Build Servers And Setup DHCP From Scratch). What you'll learn What Is The Purpose Of The DHCP Server. How To Configure DHCP On Servers and Routers. How To Implement Performance and Fault Tolerance For DHCP. What Is APIPA. What Is a Scope and a Super Scope In DHCP. What Is DHCP Snooping and How Its Configured. How To Manage DHCP From a Client PC. What Is The Difference Between Static and Dynamic IP Addresses. How To Give Access To Junior Admins To Manage The DHCP Server. What Is A DHCP Relay And How Does It Work. How To Backup and Restore DHCP. How Does DHCP Work Does It use Unicast Or Broadcast Messages. What Is The Difference Between a MAC Address and IP Address. Working With Cisco Packet Tracer. TCP/IP Classful and Classless Networks (Subnetting) Requirements Anyone that want to put at least 6 Hours of their Life to learn, enhance and sharpen there Network Skills A Computer With at Least 16 GB Of RAM. To Perform All The Labs that i am doing so You would have the actual understanding of How It Works. Description About This Class ( My Entire Course is 100% HANDS ON)Are You Tired of Assigning Static IP Addresses To All Your Devices On The Network. Well DHCP Allows You To Centralize The Assignment Of IP Addresses Automatically TO Hosts (A Host is any Device That gets an IP Address) So If your Fridge Has an IP Address its a Host.Why This ClassThis Short Course Will be the same as You worked as a Network Administrator For a Company For at least 2 Years. This Class Will be The same as You were Setting Up The DHCP Server In a Real Environment.What Will You Gain From This ClassThis course will teach you and enhance your skills in better understating by actually doing it as we were in the same classroom utilizing DHCP On Windows Server 2025.In This Course you will not just learn you will actually do it yourself as if you were in an actual company and here are the key topics that you will gain from this class.1) Install and Configure a DHCP Server In Terms Of Creating Scopes (Unicast, Multicast and Super Scopes).2) Working With Scope Option and Server Options and Understanding The Differences Between Them Including Other assignments such as default gateway,dns,time server and others.3) What is The Lease Time and How Does It affect The Clients.4) How To Create a Reservation and Its Purpose.5) How To Filter Who Can Access The DHCP Server.6) How To Backup and Restore The DHCP Server.7) How To setup Fault Tolerance and Performance using at Least 2 DHCP Servers.8) Install and Configure Active Directory9) Join Machines To The Domain.10) What is DNS and How To Setup For Active Directory.11) Using Cisco Packet Tracer to setup DHCP,DHCP Relay and DHCP Snooping.12) TCP/IP Classful and Classless Networks (Subnetting)Who is This Class For 1) Network /System Administrators.2) IT Support Techs.3) Help Desk Analyst.4) Any One Who wants to get themselves in The IT Field.Facts About The CourseDo I need any Work experience?If You or Don't Work In The IT Field You Should Be Fine Taking This Course.Will I Get Support From You?Yes You will.I Already Work In The IT Field Will I Benefit From This Course?Working In The IT Field Doesn't Mean You Will Cover All Concepts Of Networking.Will I get a certificate of completion at the end?Yes You Will. Who this course is for To Become a Successful Network Administrator Network Engineers To Enter The IT Field With Real World Experience To Feel Confidence About Your IT Skills. Homepage: https://www.udemy.com/course/dhcp-on-windows-server-2025-inside-out-100-labs/ AusFile https://ausfile.com/imcexru4ojpd/tzulq.DHCP.On.Windows.Server.2025.Inside.Out.100.Labs.part2.rar.html https://ausfile.com/mdxl22rwr4ks/tzulq.DHCP.On.Windows.Server.2025.Inside.Out.100.Labs.part3.rar.html https://ausfile.com/zmi63fmh09cj/tzulq.DHCP.On.Windows.Server.2025.Inside.Out.100.Labs.part1.rar.html Rapidgator Links Download https://rg.to/file/477b97ef53b87d0415d534c0ecbd2a0a/tzulq.DHCP.On.Windows.Server.2025.Inside.Out.100.Labs.part3.rar.html https://rg.to/file/c1a1f4090305861180d8495edab3467f/tzulq.DHCP.On.Windows.Server.2025.Inside.Out.100.Labs.part1.rar.html https://rg.to/file/d07d82ed6c23815ec162ab2fe5e6139e/tzulq.DHCP.On.Windows.Server.2025.Inside.Out.100.Labs.part2.rar.html Fikper Links Download https://fikper.com/0yzUaVdQta/tzulq.DHCP.On.Windows.Server.2025.Inside.Out.100.Labs.part2.rar.html https://fikper.com/Svc0FqTOuV/tzulq.DHCP.On.Windows.Server.2025.Inside.Out.100.Labs.part3.rar.html https://fikper.com/rfnlzFklea/tzulq.DHCP.On.Windows.Server.2025.Inside.Out.100.Labs.part1.rar.html No Password - Links are Interchangeable

Free Download Udemy - Calculus 2, part 2 of 2 - Sequences and series Last updated: 4/2025 Created by: Hania Uscka-Wehlou,Martin Wehlou MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English + subtitle | Duration: 273 Lectures ( 60h 36m ) | Size: 47.4 GB Single variable Calculus: sequences and series of numbers and of real-valued functions of one real variable What you'll learn How to solve problems concerning sequences and series (illustrated with 378 solved problems) and why these methods work. Various ways of defining number sequences: with help of a descriptive definition, an explicit (closed) formula, a recursive definition. Limits of number sequences, both finite and infinite (repetition and continuation of the topic introduced in Calc1p1). Arithmetic on extended reals (repetition and continuation of the topic introduced in Calc1p1). Dealing with indeterminate forms (repetition and continuation of the topic introduced in Calc1p1). Standard limits, comparing infinities (repetition and continuation of the topic introduced in Calc1p1). Squeeze Theorem for sequences (repetition and continuation of the topic introduced in Calc1p1). Weierstrass' Theorem for sequences (repetition and continuation of the topic introduced in Calc1p1). Functions defined for all positive arguments and their role in examining number sequences (monotonicity, limits). Solving recurrence relations: closed formula for linear recurrences of order two (with or without initial conditions). Stolz-Cesàro Theorem for computing limits of indeterminate forms. Ratio test for sequences for determining convergence or divergence. Cauchy Theorem (convergence of the arithmetic means of a convergent sequence). AM-GM inequality; convergence of the geometric means of a convergent sequence. Examining the differences of consecutive terms of the sequence (a_n) for determining convergence of a_n/n. Examining the quotients of consecutive terms of the sequence (a_n) for determining convergence of the n-th roots of a_n. Some applications of sequences (discretisation, approximations); sequences in other courses. Cauchy sequences and completeness of the set of real numbers; Bolzano-Weirestrass' Theorem. Series as limits of partial sums of sequences: definition and examples. Convergent and divergent series: simple and advanced examples. Arithmetic and geometric series and their convergence. p-series, their relation to p-integrals; discussion of their convergence. Comparison criteria for series. Integral test for series. Ratio test for series. Root test for series. Sequences of real-valued functions (a very brief introduction). Series of real-valued functions (a very brief introduction). Power series and their radius of convergence. Taylor polynomials and Taylor series, smooth functions. Applications of Taylor polynomials for approximating values of functions. Applications of Taylor polynomials for computing limits of indeterminate forms. Sneak peek into the content of the next course (Real Analysis: metric spaces). Requirements Calculus 1: Limits and continuity (or equivalent) Calculus 1: Derivatives with applications (or equivalent) Calculus 2: Integrals with applications (or equilvalent) You are always welcome with your questions. If something in the lectures is unclear, please, ask. It is best to use QA, so that all the other students can see my additional explanations about the unclear topics. Remember: you are never alone with your doubts, and it is to everybody's advantage if you ask your questions on the forum. Description Calculus 2, part 2 of 2: Sequences and seriesSingle variable calculusS1. Introduction to the courseYou will learn: about the content of this course; you will also get a list of videos form our previous courses where the current topics (sequences and series) were discussed.S2. Number sequences: a continuation from Calc1p1You will learn: more about sequences, after the introduction given in Calc1p1 (Section 5): in this section we repeat some basic facts from Calc1p1: the concept of a sequence and its limit, basic rules for computing limits of both determinate and indeterminate forms; these concepts are recalled, and you also get more examples of solved problems.S3. Weierstrass' Theorem: a continuation from Calc1p1You will learn: here we continue (after Calc1p1) discussing monotone sequences and their convergence; the main tool is Weierstrass' Theorem, also called "Monotone Convergence Theorem"; after repetition of some basic facts, you will get a lot of solved problems that illustrate the issue in depth.S4. Using functions while working with sequencesYou will learn: in this section we move to the new stuff: a functional approach to sequences, that we weren't able to study in Calc1p1, as the section about sequences came before the section about functions (in the context of limits and continuity); how to use (for sequences) the theory developed for functions (derivatives, l'Hôpital's rule, etc).S5. New theorems and tests for convergence of sequencesYou will learn: various tests helping us computing limits of sequences is some cases: Stolz-Cesàro Theorem with some corollaries, the ratio test for sequences; we will prove the theorems, discuss their content, and apply them on various examples.S6. Solving recurrence relationsYou will learn: solving linear recursions of order 2 (an introduction; more will be covered in Discrete Mathematics).S7. Applications of sequences and some more problems to solveYou will learn: various applications of sequences; more types of sequence-related problems that we haven't seen before (some problems here are really hard).S8. Cauchy sequences and the set of real numbersYou will learn: more (than in Calc1p1) about the relationships between monotonicity, boundedness, and convergence of number sequences; subsequences and their limits; limit superior and limit inferior (reading material only: Section 3.6 on pages 50-55 in the UC Davis notes); Bolzano-Weierstrass Theorem; fundamental sequences (sequences with Cauchy property), their boundedness and convergence; construction of the set of real numbers with help of equivalence classes of fundamental sequences of rational numbers; the definition of complete metric spaces.S9. Number series: a general introductionYou will learn: about series: their definition and interpretation, many examples of convergent and divergent series (geometric series, arithmetic series, p-series, telescoping series, alternating series); you will also learn how to determine the sum of series in some cases; we will later use these series for determining convergence or divergence of other series, that are harder to deal with.S10. Number series: plenty of tests, even more exercisesYou will learn: plenty of tests for convergence of number series (why they work and how to apply them): comparison tests, limit comparison test, ratio test (d'Alembert test), root test (Cauchy test), integral test.S11. Various operations on seriesYou will learn: how the regular computational rules like commutativity and associativity work for series; Cauchy product of series; remainders, their various shapes and their role in approximating the sum of a series.S12. Sequences of functions (a very brief introduction)You will learn: you will get a very brief introduction to the topic of sequences of functions; more will be covered in "Real Analysis: Metric spaces"; the concepts of point-wise convergence and uniform convergence are briefly introduced and illustrated with one example each; these concepts will be further developed in "Real Analysis: Metric spaces".S13. Infinite series of functions (a very brief introduction)You will learn: you get a very brief introduction to the topic of series of functions: just enough to introduce the topic of power series in the next section.S14. Power series and their propertiesYou will learn: the concept of a power series and different ways of thinking about this topic; radius of convergence; arithmetic operations on power series (addition, subtraction, scaling, multiplication); some words about differentiation and integration of power series term after term (optional).S15. Taylor series and related topics: a continuation from Calc1p2You will learn: (a continuation from Section 10 in "Calculus 1, part 2 of 2: Derivatives with applications") Taylor- and Maclaurin polynomials (and series) of smooth functions; applications to computing limits of indeterminate expressions and to approximating stuff.Make sure that you check with your professor what parts of the course you will need for your final exam. Such things vary from country to country, from university to university, and they can even vary from year to year at the same university.A detailed Description of the content of the course, with all the 272 videos and their titles, and with the texts of all the 378 problems solved during this course, is presented in the resource file "001 List_of_all_Videos_and_Problems_Calculus_2_p2.pdf" under video 1 ("Introduction to the course"). This content is also presented in video 1. 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