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Free Download Udemy - Beginners guide to Web design 2025 Published 5/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 42m | Size: 572 MB HTML AND CSS What you'll learn Web design Concept First HTML page Linking HTML pages CSS HTML and CSS Requirements A working computer No programming knowledge Description Embark on Your Web Design Journey: From Beginner to Creator!Ever wondered how the websites you visit every day are brought to life? This comprehensive web design class is your starting point to understanding and mastering the fundamental skills needed to build your own corner of the internet. We'll take you step-by-step through the core building blocks of the web: HTML, the structural language that provides the content and organization of your pages, and CSS, the styling language that allows you to bring visual flair and personality to your designs.Beyond the technical aspects, you'll delve into essential design principles, learning how to create user-friendly layouts, choose effective typography, and work with color palettes to craft engaging and accessible websites. Whether you have zero coding experience or are simply curious about the world of web development, this class provides a supportive and hands-on environment to learn, experiment, and build a solid foundation. By the end of this course, you'll not only understand the theory but also possess the practical skills to design, build, and even launch your own basic websites and take the first confident steps in the exciting field of web design.Join me in this exciting journey. Thank you! Who this course is for Beginners who don't have knowledge in coding Beginners who want to learn web design Beginners who want to learn HTML and CSS from scratch Homepage https://www.udemy.com/course/beginners-guide-to-web-design/ Rapidgator Links Download https://rg.to/file/afa91f9c861c1b433151b273013ad047/widfm.Beginners.guide.to.Web.design.2025.rar.html Fikper Links Download https://fikper.com/jmMTFQtTh3/widfm.Beginners.guide.to.Web.design.2025.rar.html No Password - Links are Interchangeable

Free Download Udemy - Beginner's Guide To Mastering The Tarot Published 5/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 4h 21m | Size: 3.14 GB Discover how to read and interpret Tarot cards with confidence, and learn to tap into your natural intuitive abilities. What you'll learn Learners will confidently read and interpret Tarot cards, understanding meanings and symbolism to provide insightful readings for themselves and others. Students will develop their intuition, using the Tarot to strengthen their inner guidance for deeper, more meaningful readings. Learners will gain a deep understanding of all 78 cards, spreads, and card relationships, empowering confident and insightful Tarot readings. Students will learn to incorporate Tarot into daily life and spiritual practices, as well as offer readings for others with confidence and clarity. Requirements There are no prerequisites for this course, though we recommend having a Tarot deck. We suggest using a Rider-Waite deck, as it is the basis for our course content. Description Unlock the mysteries of the Tarot with the guidance of seasoned experts, Willow Rayne and Kandace Lynne, the authors of Tarot & Oracle decks and the bestselling Mastering Tarot paperback. Mastering Tarot is a thorough, self-paced course designed to take you on a transformative journey into the world of Tarot reading. Whether you are a beginner or an experienced reader, this course offers a structured, step-by-step approach that helps you read and interpret Tarot cards with confidence, while also unlocking your natural intuitive gifts.Willow and Kandace have crafted this course to provide a blend of clear explanations, practical exercises, and insightful tips that will deepen your understanding of Tarot. Throughout the course, you'll learn how to connect with the Tarot on a deeper level, enabling you to use it not only as a tool for divination but also as a powerful guide for personal growth and spiritual development. You'll discover how to tap into your intuition and unlock the wisdom that the cards have to offer, leading you to a greater sense of self-awareness and purpose.Whether you're seeking personal enlightenment, expanding your spiritual practice, or hoping to read for others, Mastering Tarot is the perfect companion for your Tarot journey. With this course, you'll enhance your intuitive abilities, gain clarity on your goals and desires, and ultimately unleash your divine power. Perfect for beginners, those looking to deepen their knowledge, and anyone seeking a fresh perspective, this course will help you connect with the Tarot in ways you never thought possible. Who this course is for This course is ideal for beginners eager to explore the Tarot, as well as intermediate learners looking to deepen their knowledge and confidence in Tarot reading. Whether you're seeking personal enlightenment, wanting to enhance your spiritual practice, or interested in reading for others, this course will provide valuable insights and practical skills. It is also perfect for those who are ready to connect with their intuition and unlock the mysteries of the Tarot in a structured, easy-to-follow format. If you're passionate about Tarot and ready to embark on a transformative journey, this course will guide you every step of the way. Homepage https://www.udemy.com/course/mastering-tarot/ Rapidgator Links Download https://rg.to/file/2d824d672b2e7a74b765fe29e66c30c1/cmiuy.Beginners.Guide.To.Mastering.The.Tarot.part1.rar.html https://rg.to/file/052aa0f17b8f7dff4ed6dc8d9ecc147c/cmiuy.Beginners.Guide.To.Mastering.The.Tarot.part2.rar.html https://rg.to/file/e9554c9063c5d35d27391a50b664a6a7/cmiuy.Beginners.Guide.To.Mastering.The.Tarot.part3.rar.html https://rg.to/file/8a35b4800cd2ccaa2907b2394b424c7d/cmiuy.Beginners.Guide.To.Mastering.The.Tarot.part4.rar.html Fikper Links Download https://fikper.com/RQ6nt9H6RL/cmiuy.Beginners.Guide.To.Mastering.The.Tarot.part1.rar.html https://fikper.com/MAf5boyEts/cmiuy.Beginners.Guide.To.Mastering.The.Tarot.part2.rar.html https://fikper.com/NyDi9yKwTQ/cmiuy.Beginners.Guide.To.Mastering.The.Tarot.part3.rar.html https://fikper.com/91qNnK182B/cmiuy.Beginners.Guide.To.Mastering.The.Tarot.part4.rar.html No Password - Links are Interchangeable

Free Download Udemy - Beginner Hip Hop Course With Dylan Mayoral Last updated 4/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.26 GB | Duration: 2h 29m 14 Beginner Hip Hop Classes with World Renowned Dancer/Choreogapher Dylan Mayoral! What you'll learn Core movement and foundational steps in the style of Hip Hop How to become comfortable in your movement and be able to learn and execute a beginner level choreography to a great standard How to adapt a better mindset and mentality towards your dance training Move with more confidence Be more sure about where to take your dance training Knowledge of some of the biggest Hip Hop social dance moves Requirements All Levels and All Ages are welcome! This Course is great for people who want to learn dance or intermediate level students who want a refresh and work on their foundations. Description Hey all! Dylan here!I'm a Dancer/Choreographer from London, i've been dancing for 17 years in 14 different styles and have been working as a professional Dancer/Choreographer for the past 7 years.My credits include:Choreographing and working with BTS, Rita Ora, Fergie, Dua Lipa, Sam Smith, Calvin Harris, Beyond Babel, Martin Jensen, Nike, Dior, Pepe Jeans and more!I have reached the finals in both 'Got To Dance' and 'Britain's Got Talent' with my crew 'Boyband'.I have performed at some of the most prestigious venues in the world such as Royal Opera House, Royal Albert Hall, Queen Elizabeth Hall, O2 Arena and Off-Broadway New York.I have traveled to over 40 countries to teach dance workshops.And now I have decided to create this INCREDIBLE beginner course as I feel there's not enough good quality courses out there for beginners.I have especially designed this course for COMPLETE beginners or intermediate students who want to further solidify their foundations.The last class of this 14 class course is a beginner level choreographer. All the classes before that is to prepare you for that beginner class so that you'll be super comfortable and more than ready!COURSE CONTENT:Hip Hop Bounce Level 1Hip Hop Bounce Level 2Hip Hop Bounce Level 3Hip Hop Groove- ATL StompLocking Groove - Leo WalkHip Hop Groove - Steve MartinHip Hop Groove - Kick And StepWavingIsolationsBeginner House - Cross StepBeginner House - Pas De BourreeBeginner House - ShuffleBeginner Freestyle ClassBeginner Choreography Class Beginner Dancers,Intro Level Dancers,Intermediate Dancers Homepage https://www.udemy.com/course/dylanmayoralbeginnercourse/ Rapidgator Links Download https://rg.to/file/330b0fcdda8dadec489cbc5d15b11a1e/cjbnd.Beginner.Hip.Hop.Course.With.Dylan.Mayoral.part2.rar.html https://rg.to/file/b1aaf46c2c25bab1f954250ee460f69e/cjbnd.Beginner.Hip.Hop.Course.With.Dylan.Mayoral.part1.rar.html Fikper Links Download https://fikper.com/O0EoRSyuxi/cjbnd.Beginner.Hip.Hop.Course.With.Dylan.Mayoral.part1.rar.html https://fikper.com/UZ4Y5ASdCl/cjbnd.Beginner.Hip.Hop.Course.With.Dylan.Mayoral.part2.rar.html No Password - Links are Interchangeable

Free Download Udemy - Bedroom Design & Rendering With 3Ds Max & Corona Project Published 5/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 2.70 GB | Duration: 2h 51m Learn bedroom interior design: layout, lighting, materials, 3D modeling & rendering in a complete practical workshop What you'll learn Professional Bedroom Modeling - Learn the principles and techniques of 3D modeling to design a detailed and realistic bedroom in 3ds Max. Advanced Material Creation & Texturing - Create and refine realistic materials using Corona Renderer. Professional Lighting Setup - Set up natural and artificial lighting to create a warm and visually appealing interior design. High-Quality Rendering - Master rendering settings in Corona Renderer to produce professional, photorealistic final images. Requirements Basic knowledge of 3ds Max is recommended but not required. A computer with 3ds Max and Corona Renderer installed (trial versions work too). Passion for interior design and 3D visualization. No prior experience in rendering or material creation is needed - everything will be explained step by step! Description Welcome to the ultimate bedroom interior design workshop using 3ds Max and Corona Renderer - a complete, hands-on course where you'll learn how to design beautiful, realistic bedroom interiors from start to final render.This course is perfect for interior design students, 3D artists, architects, and anyone looking to bring bedroom concepts to life with professional tools and techniques. You'll start by learning the essentials of space planning, color harmony, and furniture layout, followed by accurate 3D modeling inside 3ds Max.You'll create detailed materials such as fabric, parquet flooring, mirrors, and painted walls using Corona's powerful material editor. Then, we'll walk through lighting setup, including both natural and artificial light sources, and show you how to place and adjust Corona cameras for the best visual composition.Finally, you'll learn how to adjust render settings for high-quality, photorealistic output, as well as basic post-production steps to enhance your final image.By the end of this course, you'll be able to confidently model, texture, light, and render a fully designed bedroom. You'll also walk away with a finished portfolio piece that demonstrates your skills and showcases your creative design abilities.This course will also help you improve your workflow, speed, and creative decision-making. Overview Section 1: Complete Bedroom Modeling Lecture 1 Initial Bedroom Modeling Lecture 2 Herringbone Parquet, Headboard Panel, and Ceiling Modeling Lecture 3 Bed Structure Modeling Lecture 4 Modeling the details of the bed and window Lecture 5 "3D modeling of the wall panel behind the bed and the dressing table" Lecture 6 Detailed modeling of the dressing table" Lecture 7 Mirror modeling and object placement" Lecture 8 Exercise file Section 2: Lighting the Scene and Placing Cameras Lecture 9 Placing the First Camera and Basic Settings Lecture 10 Window Background Setup and Adjustment Lecture 11 Sunlight and Interior Lighting Setup Lecture 12 Adding Light Behind the Mirror Lecture 13 Final Lighting Adjustments Section 3: Material Creation and Final Rendering Lecture 14 Creating Materials for Walls, Window Frames, and Flooring Lecture 15 Creating Materials for the Headboard Panel and Bed Structure Lecture 16 Mirror Material Creation and Final Render Settings Beginners and intermediate 3D artists who want to improve their interior design skills.,Architects and interior designers looking to create high-quality 3D visualizations.,Freelancers who want to expand their portfolio with realistic bedroom renders.,Anyone passionate about 3D modeling, texturing, lighting, and rendering with Corona Renderer. Homepage https://www.udemy.com/course/bedroom-design-rendering-with-3ds-max-corona-project/ Rapidgator Links Download https://rg.to/file/0e9ae4dfaa244dbfb8f22d40c3b843b0/tpvtx.Bedroom.Design..Rendering.With.3Ds.Max..Corona..Project.part1.rar.html https://rg.to/file/2f38c4ea69a9b61bcc718946d8627922/tpvtx.Bedroom.Design..Rendering.With.3Ds.Max..Corona..Project.part2.rar.html https://rg.to/file/600abc1681214aaf8fac9d56a8f756c3/tpvtx.Bedroom.Design..Rendering.With.3Ds.Max..Corona..Project.part3.rar.html Fikper Links Download https://fikper.com/HhrB4tu90A/tpvtx.Bedroom.Design..Rendering.With.3Ds.Max..Corona..Project.part2.rar.html https://fikper.com/OtWS5hAaoB/tpvtx.Bedroom.Design..Rendering.With.3Ds.Max..Corona..Project.part1.rar.html https://fikper.com/aD18BaNDtp/tpvtx.Bedroom.Design..Rendering.With.3Ds.Max..Corona..Project.part3.rar.html No Password - Links are Interchangeable

Free Download Udemy - Become a Rust Developer in 1 Day Published 5/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 5h 31m | Size: 2.3 GB Master Rust including ownership, structs, enums, crates, traits, modules, collections and practical projects What you'll learn Master Rust's ownership and borrowing rules Solid understanding of creating and organizing Rust projects using modules and crates Understand and implement Rust's enum types and structs Understand how to handle errors using the Result type Understand various data structures in Rust like arrays, vectors, hash maps and slices Requirements No Rust experience is required An experience with any programming language is an advantage Description Learn Rust step-by-step with practical projects. Master ownership, structs, enums, error handling, collections, and more. Perfect for aspiring systems programmers.Course OverviewRust is one of the most powerful and safe systems programming languages in the world. This course will take you from complete beginner to confident Rust developer, using real-world projects and a structured curriculum.By the end of this course, you'll be able to build production-grade command-line apps using Rust's powerful features like ownership, structs, enums, traits, modules, and error handling.Whether you're aiming for embedded systems, game dev, backend services, or performance-critical applications, this course will equip you with essential, modern Rust skills. What You'll LearnSection 1: IntroductionLecture 1: Installing RustLecture 2: Installing VSCodeLecture 3: Creating Our First Application Section 2: Rust BasicsLecture 4: VariablesLecture 5: ConstantsLecture 6: Data TypesLecture 7: ArraysLecture 8: TuplesLecture 9: Operations in RustLecture 10: Introduction to StringsLecture 11: FunctionsLecture 12: Another Way to Return Values from FunctionsLecture 13: CommentsLecture 14: If StatementsLecture 15: LoopsLecture 16: Handling User InputLecture 17: VectorsLecture 18: Project - Grade Calculator Section 3: Ownership in RustLecture 19: Introduction to OwnershipLecture 20: Copy TypesLecture 21: References and BorrowingSection 4: StructsLecture 22: Introduction to StructsLecture 23: Tuple StructsLecture 24: Field Shorthand SyntaxLecture 25: Implementing MethodsLecture 26: Associated Functions (Constructors)Lecture 27: TraitsLecture 28: Project - Contacts Book Section 5: EnumsLecture 29: Introduction to EnumsLecture 30: Enums with DataLecture 31: Enums and Methods Section 6: Modules and CratesLecture 32: Introduction to Modules and CratesLecture 33: Creating a PackageLecture 34: Creating ModulesLecture 35: Creating Crates Section 7: CollectionsLecture 36: StringsLecture 37: Introduction to Hash Maps (Optional)Lecture 38: Hash Maps Section 8: Error HandlingLecture 39: PanicLecture 40: The Option EnumLecture 41: The Result EnumLecture 42: Error Propagation using ?Lecture 43: Project - CLI Task Manager Build Real ProjectsHands-on practice is the core of this course. You'll build: Grade Calculator (Fundamentals) Contacts Book (Structs & Ownership) Task Manager CLI (Enums, Traits, HashMaps, Modules, Error Handling)These projects are designed to solidify each Rust concept and give you usable tools for your portfolio.Who This Course Is ForAbsolute beginners to Rust or systems programmingDevelopers coming from C++, Python, Go, or JavaScriptAnyone interested in learning memory-safe, performant application designStudents or engineers preparing for low-level or backend engineering rolesTools You'll UseRust and CargoVSCode or any text editorCLI-based development (great for real-world applications) By the End of This CourseYou'll be able to:Understand and apply ownership, borrowing, and lifetimesUse structs, enums, and traits effectivelyHandle errors gracefully with Option and ResultWork with modules, crates, and collectionsBuild, test, and structure full Rust applicationsEnroll now and take your first step into systems programming with Rust! Who this course is for Anyone with or without programming experience who wants to learn Rust Homepage https://www.udemy.com/course/become-a-rust-developer-in-1-day/ Rapidgator Links Download https://rg.to/file/548724a700dcdf02b5103077f372b28e/yogwk.Become.a.Rust.Developer.in.1.Day.part2.rar.html https://rg.to/file/901f37ecab23fe13848118351d0d6478/yogwk.Become.a.Rust.Developer.in.1.Day.part3.rar.html https://rg.to/file/d095e5009a00c2f9a12f3aaf40a0719e/yogwk.Become.a.Rust.Developer.in.1.Day.part1.rar.html Fikper Links Download https://fikper.com/Ce2eQBiICa/yogwk.Become.a.Rust.Developer.in.1.Day.part3.rar.html https://fikper.com/Jd7FfpDUPX/yogwk.Become.a.Rust.Developer.in.1.Day.part1.rar.html https://fikper.com/X6dytQCuWQ/yogwk.Become.a.Rust.Developer.in.1.Day.part2.rar.html No Password - Links are Interchangeable

Free Download Udemy - Become a Java Full Stack Developer with React & Spring Boot Published 5/2025 Created by Madan Reddy MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 237 Lectures ( 35h 20m ) | Size: 17.4 GB Master Java Full Stack: React, Spring Boot, REST APIs, JPA, Security, JWT, Redux, Stripe, Tailwind CSS & More What you'll learn Build real-world full stack applications using React and Spring Boot Create and consume RESTful APIs with Spring Boot and integrate them with React Implement JWT-based authentication and role-based authorization Master React Router for multi-page SPA navigation and error handling Use React Hooks like useState, useEffect, useReducer, and useContext Manage global state efficiently using Redux Toolkit with DevTools integration Design beautiful UIs using Tailwind CSS, Bootstrap, and component-based styling Perform backend validation, exception handling, and document APIs with Springdoc OpenAPI Understand and implement Spring Security, including CSRF protection and custom filters Work with MySQL database, Spring Data JPA, and Entity relationships (OneToOne, ManyToMany) Configure Spring Boot profiles, externalize properties, and use conditional beans Integrate Stripe Checkout for payment processing and manage orders Write custom JPA queries using @Query, JPQL, native SQL, and understand transactional behavior Implement caching in Spring Boot using @Cacheable, @CacheEvict, and TTL configuration Build a complete e-commerce project with admin panels, secure routes, and real API integrations Requirements Knowledge on Java, HTML, CSS, Javascript is mandatory Description Are you ready to become a confident Java Full Stack Developer? This hands-on course will teach you how to build real-world web applications using React for the frontend and Spring Boot for the backend. You'll master REST APIs, JWT authentication, Redux Toolkit, Spring Security, Spring Data JPA, MySQL, Stripe payments, Tailwind CSS, and more.From creating your first "Hello World" apps to securing endpoints, managing state, and deploying full-featured e-commerce apps, this course covers it all - with beautifully structured lectures, engaging demos, and tons of practical knowledge.Whether you're a beginner or someone upgrading to modern full stack technologies, this course will guide you step-by-step with real projects and best practices to launch your full stack development career.What You'll Learn :Section 1: Welcome & Course SetupUnderstand the course agenda, goals & expectationsInstall and configure VS Code, IntelliJ, React, and Spring Boot appsLearn about libraries vs frameworks and tool setupSection 2: React Basics - JSX to ViteUnderstand JSX, Virtual DOM, transpilation (Babel), and ViteExplore React project structure, semantic versioning, and dependenciesSection 3: Everything About React ComponentsBuild functional componentsLearn about props, children, fragments, dynamic components & moreSection 4: Styling React Apps Like a ProStyle components using CSS, inline styles, CSS modules, and Styled-ComponentsExplore Bootstrap integration and customizationSection 5: Styling with Tailwind CSSConfigure Tailwind in React, explore utility classesBuild responsive layouts and custom themes using TailwindSection 6: Spring Framework Core ConceptsLearn IoC, DI, Spring Beans, and bean wiring techniquesUse annotations like @Bean, @Component, @Primary, and @QualifierSection 7: Building Backend with Spring BootCreate REST APIs using Spring BootIntegrate with H2 & MySQL databasesImplement DTO pattern and understand CORSSection 8: React Hooks & EventsUnderstand and apply useState, useEffect, useMemo hooksBuild interactive UI with event handlers and reusable componentsSection 9: Dark Mode & MySQL MigrationImplement dark mode toggle and theme persistenceMigrate from H2 to MySQL using DockerSection 10: React Routing MasteryDefine routes, use Link, NavLink, useNavigate, useLocationImplement loaders, actions, error boundaries, and dynamic routingSection 11: Robust Spring Boot APIsEnable hot reload with DevToolsMaster @RequestBody, @PathVariable, @RequestParam, @RequestHeaderUse RequestEntity, ResponseEntity, and global exception handlingSection 12: Shopping Cart with React Context APIImplement Context API, prop drilling solution, state liftingUse useReducer to manage complex cart logicSection 13: Spring Security FundamentalsUnderstand Spring Security flow, static credentials, and login APILearn about hashing, encoders, InMemoryUserDetailsManagerIntroduce JWT, Auth Context, protected routes, and register APISection 14: Security with Database IntegrationPersist users in MySQL using JPA and Spring SecurityDefine custom AuthenticationProviderImplement @OneToOne mapping for profile/address managementSection 15: Implementing AuthorizationUnderstand ROLE vs AUTHORITYDefine OneToMany relationships to manage user roles and authorizationSection 16: Understanding CSRF AttacksLearn what CSRF is and how to protect against itImplement CSRF protection using Spring SecuritySection 17: Stripe Checkout IntegrationSet up Stripe, build checkout UI and backend APIsHandle address validation and token expirationBuild orders API and link payments to dataSection 18: Orders & Admin PanelsCreate REST APIs for orders, messages, and admin viewsSecure actuator & Swagger endpoints with proper rolesSection 19: Custom Queries in JPAUse @Query, JPQL, native SQL, DML queriesUnderstand @NamedQuery, @Transactional, and audit updatesSection 20: @ManyToMany & Spring CachingImplement Many-to-Many relationshipsUse @Cacheable, @CacheEvict, TTL config for better performanceSection 21: Spring Boot Profiles & ConfigLearn to read properties via @Value, @ConfigurationPropertiesUse @PropertySource, and Spring Boot profilesHandle conditional bean creation for environmentsSection 22: Redux & Redux ToolkitCompare Redux vs Context API, useReducerLearn about Redux store, slices, DevTools, and implement cart/auth logic Who this course is for Beginners who want to become Full Stack Developers using Java, React, and Spring Boot Frontend developers who want to learn backend development with Spring Boot and Java Backend developers looking to master modern frontend skills with React and Tailwind CSS Students or fresh graduates seeking to build job-ready projects for interviews and resumes Self-taught developers who need a structured and guided path with real-world projects Developers who want to build an end-to-end e-commerce application with login, cart, payments, and admin features Homepage https://www.udemy.com/course/become-a-java-full-stack-developer-with-react-spring-boot/ Rapidgator Links Download https://rg.to/file/0343b7c95a1843d4f37c1c2e62936d76/bsmqr.Become.a.Java.Full.Stack.Developer.with.React..Spring.Boot.part03.rar.html 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Free Download Udemy - Become An Llm & Agentic Ai Engineer 14-Day Bootcamp - 2025 Published 5/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 26.29 GB | Duration: 24h 7m Master Large Language Models, Hugging Face, AutoGen, CrewAI, LangChain, N8N, OpenAI Agents SDK, LangGraph, Gradio, & MCP What you'll learn Understand the foundations of Large Language Models (LLMs) and Agentic AI, including how LLMs are trained, fine-tuned, and deployed. Create and deploy intelligent autonomous AI agents using cutting-edge frameworks like AutoGen, OpenAI Agents SDK, LangGraph, n8n, and MCP. Explore and benchmark open-source LLMs such as LLama, DeepSeek, Qwen, Phi, and Gemma using Hugging Face and LM Studio. Develop real-world applications using API access to OpenAI, Gemini, and Claude for text generation and vision tasks. Apply a proven 5-step framework to select the right AI model for your business: maximizing cost-efficiency, minimizing latency, & accelerating time to market. Evaluate LLMs using leaderboards like Vellum and Chat Arena, and conduct blind tests to objectively assess AI model performance. Design Retrieval-Augmented Generation (RAG) pipelines using LangChain, OpenAI embeddings, & ChromaDB for efficient document retrieval & question answering. Build an interactive, transparent AI-powered Q&A system with a Gradio interface that displays answers along with source citations for enhanced user trust. Master data validation & structured output generation using the Pydantic library, including BaseModel, type hints, & parsed output creation from OpenAI models. Build an AI-powered resume editor that analyzes gaps between a resume & job description & automatically tailors resumes/cover letters for targeted applications. Learn how to fine-tune pre-trained open-source LLMs using parameter-efficient methods like LoRA and tools such as Hugging Face's TRL and SFTTrainer. Master dataset preparation and model evaluation techniques, including calculating accuracy, precision, recall, and F1-score using scikit-learn. Apply key components in Hugging Face Transformers library such as pipeline( ), AutoTokenizer( ), and AutoModelForCausalLM( ). Gain practical experience working with open-source datasets/models on Hugging Face, & apply quantization techniques like bitsandbytes to optimize Performance. Master advanced prompt engineering techniques such as zero-shot, few-shot, and chain-of-thought prompting. Deploy multi-model AI agents using AutoGen, integrating LLMs from OpenAI, Gemini, & Claude, enabling agent collaboration & human-in-the-loop oversight. Develop and deploy agentic AI workflows using LangGraph, mastering concepts like states, edges, conditional logic, and multi-stage nodes. Design & build AI-powered booking agents using LangGraph, enabling automated search & recommendation of flights & hotels through integration with external APIs. Build a data science agent team using CrewAI, creating specialized agents for workflow planning, data analysis, model building, and predictive analytics. Design and automate end-to-end Agentic AI workflows using n8n, integrating services like Gmail, Google Sheets, Google Calendar, and OpenAI. Build an advanced AI tutor system using Model-Context-Protocol (MCP) and OpenAI Agents SDK, enabling dynamic tool interoperability. Requirements You will need a laptop and an internet connection! No programming experience required; basic Python skills are a plus. Description The AI revolution is accelerating at an unimaginable pace, and those who master Large Language Models (LLMs) and Agentic AI will define the future of technology. The "Become an LLM & Agentic AI Engineer Bootcamp" is an intensive, 14-day hands-on program designed to equip professionals and enthusiasts with the skills needed to build real-world AI applications. Whether you're a developer, data scientist, researcher, or technology leader, this bootcamp provides the tools and knowledge to navigate and innovate in this fast-evolving space confidently.You will begin by exploring the foundations of LLMs and agent frameworks, including how to benchmark models using LM Studio. The course then guides you through working with powerful closed-source APIs from providers like OpenAI, Gemini, and Claude. You will learn how to structure system and user messages, understand tokenization, and control outputs to build projects such as AI-powered text generators and vision-enabled calorie trackers.As you advance, you'll dive into the world of open-source LLMs. You will fine-tune models on Hugging Face using state-of-the-art techniques like LoRA and Parameter-Efficient Fine-Tuning (PEFT). Alongside this, you'll gain experience designing AI-powered web applications using Gradio, creating interactive streaming apps, and building intelligent AI tutors.A core component of the bootcamp focuses on mastering prompt engineering, including zero-shot, few-shot, and chain-of-thought prompting techniques to achieve consistent and controlled outputs. You'll also explore advanced capabilities such as building Retrieval-Augmented Generation (RAG) pipelines and working with embeddings for semantic search and knowledge retrieval.The program concludes with the development of next-generation AI agents. You will use frameworks like AutoGen, OpenAI Agents SDK, LangGraph, n8n, and MCP to create autonomous agents capable of interacting with external systems, APIs, and other digital tools. Each module emphasizes building practical, working projects that reinforce the learning objectives and prepare you for real-world deployment.This bootcamp is led by Dr. Ryan Ahmed, a highly experienced AI professor and educator who has taught over half a million learners globally. It is ideal for software engineers, data scientists, AI researchers, and technology professionals who want to break into the LLM and AI agent development space.The format of the program emphasizes project-based learning with step-by-step guidance, community interaction, and access to mentorship and continuous feedback. From Day 1, you'll be building real-world applications, positioning yourself at the forefront of this transformative field.Enroll today, and I look forward to seeing you inside! Overview Section 1: Welcome to the Bootcamp! Lecture 1 Instructor Introduction and LLM in Action! Lecture 2 Download the Bootcamp Materials Lecture 3 Bootcamp Outline Lecture 4 Key Success Tips Section 2: -------PART A: CLOSED-SOURCE LLMs, GRADIO, & BENCHMARKING------- Lecture 5 Welcome to Part A of the Bootcamp! Section 3: Day 1: Develop a Character AI Chatbot Using OpenAI API Lecture 6 Task 1. Character AI Chatbot Project Introduction & Key Learning Objectives Lecture 7 Task 2. Download Anaconda and Configure OpenAI API Lecture 8 Task 3. Our First Chat with OpenAI API Lecture 9 Practice Opportunity Question: Test OpenAI API for Text Generation Lecture 10 Practice Opportunity Solution: Test OpenAI API for Text Generation Lecture 11 Task 4. Understand OpenAI API response Structure & Token Usage Lecture 12 Practice Opportunity Question: OpenAI Tokenizer Tool Lecture 13 Practice Opportunity Solution: OpenAI Tokenizer Tool Lecture 14 Task 5. Giving Our AI Chatbot a Personality Using the System Message! Lecture 15 Practice Opportunity Question: Changing AI Personalities Lecture 16 Practice Opportunity Solution: Changing AI Personalities Lecture 17 Conclusion, Summary, and Thank You! Section 4: Day 2: Build an AI Calorie Tracker Using OpenAI API (Vision GPTs) Lecture 18 Task 1. AI Calorie Tracker Project Introduction & Key Learning Objectives Lecture 19 Task 2. Read a Sample Image Using Python's Pillow (PIL) Library Lecture 20 Practice Opportunity Question: Read & View Images Using PIL Lecture 21 Practice Opportunity Solution: Read & View Images Using PIL Lecture 22 Task 3. Understand Prompt Engineering Fundamentals Lecture 23 Practice Opportunity Question: Prompt Engineering Fundamentals Lecture 24 Practice Opportunity Solution: Prompt Engineering Fundamentals Lecture 25 Task 4. Perform Image Recognition Using OpenAI API's Vision GPT Models (Part A) Lecture 26 Task 4. Perform Image Recognition Using OpenAI API's Vision GPT Models (Part B) Lecture 27 Practice Opportunity Question: Calling OpenAI API's Vision GPT Models Lecture 28 Practice Opportunity Solution: Calling OpenAI API's Vision GPT Models Lecture 29 Task 5. Obtain the Calorie Count of Food Images Using Vision GPT Models Lecture 30 Practice Opportunity Question: Expand API Payload to include Nutritional Value Lecture 31 Practice Opportunity Solution: Expand API Payload to include Nutritional Value Lecture 32 Conclusion, Summary, & Thank You Message! Section 5: Day 3: Build an Adaptive LLM/AI Tutor with Gradio for Multi-level Learning Lecture 33 Task 1. Introduction & Key Learning Objectives - Adaptive AI Tutor with Gradio Lecture 34 Task 2. Learn Gradio 101 & Showcase Capabilities (Maps, Images, & Streaming) Lecture 35 Task 3. Build and Test an AI Tutor Function (Without Gradio) Lecture 36 Practice Opportunity Question: Test AI Tutor Function with Many Personalities Lecture 37 Practice Opportunity Solution: Test AI Tutor Function with Many Personalities Lecture 38 Task 4. Build an Interactive Interface Using Gradio (No Streaming) Lecture 39 Practice Opportunity Question: Configure Gradio Interface Components Lecture 40 Practice Opportunity Solution: Configure Gradio Interface Components Lecture 41 Task 5. Add Streaming for an Enhanced Chat Experience in Gradio Lecture 42 Practice Opportunity Question: Streaming for an Enhanced Chat Experience Lecture 43 Practice Opportunity Solution: Streaming for an Enhanced Chat Experience Lecture 44 Task 6. Build a Multi-Level AI Tutor in Gradio with Explanation Level Slider Lecture 45 Practice Opportunity Question: Testing AI Tutor Slider Levels & Einstein Mode! Lecture 46 Practice Opportunity Solution: Testing AI Tutor Slider Levels & Einstein Mode! Lecture 47 Conclusion, Summary, & Thank You Message! Section 6: Day 4: Build Websites with Claude, Gemini, & OpenAI & LLMs Leaderboards Lecture 48 Task 1. Introduction & Module Objectives - Build Websites & LLMs Leaderboards Lecture 49 Task 2. LLM Comparison, Benchmarks, & Vellum Leaderboard Lecture 50 Practice Opportunity Question: Vellum Leaderboard & LLMs Benchmarking Lecture 51 Practice Opportunity Solution: Vellum Leaderboard & LLMs Benchmarking Lecture 52 Task 3. Exploring Chatbot Arena and Blind AI/LLMs Models Testing Lecture 53 Practice Opportunity Question: Blind AI Testing Using Chatbot Arena Lecture 54 Practice Opportunity Solution: Blind AI Testing Using Chatbot Arena Lecture 55 Task 4. Setup API Key & Compare Math & Creative abilities of Claude, Gemini, GPT Lecture 56 Practice Opportunity Question: Compare LLMs Coding Abilities Lecture 57 Practice Opportunity Solution: Compare LLMs Coding Abilities Lecture 58 Task 5. Define the Startup Idea & Structure the Prompt Lecture 59 Practice Opportunity Question: Prompt Structuring for HTML Generation Lecture 60 Practice Opportunity Solution: Prompt Structuring for HTML Generation Lecture 61 Task 6. Generate Websites & HTML Landing Pages with OpenAI API Lecture 62 Practice Opportunity Question: HTML Landing Pages Generation Lecture 63 Practice Opportunity Solution: HTML Landing Pages Generation Lecture 64 Task 7. Generate HTML Landing Pages with Google Gemini-2.0-Flash API Lecture 65 Practice Opportunity Question: Compare Gemini Vs. OpenAI Website Generation Lecture 66 Practice Opportunity Solution: Compare Gemini Vs. OpenAI Website Generation Lecture 67 Task 8. Generate HTML Landing Pages with Anthropic Claude 3.7 Sonnet Lecture 68 Practice Opportunity Question: Website Design with LLM (Claude by Anthropic) Lecture 69 Practice Opportunity Solution: Website Design with LLM (Claude by Anthropic) Lecture 70 Conclusion, Summary, & Thank You Message! Section 7: -------PART B: OPEN-SOURCE LLMs, HUGGING FACE, RAG & FINE-TUNING------- Lecture 71 Welcome to Part B of this Bootcamp! Section 8: Day 5: Hugging Face Open-Source Models Lecture 72 Task 1. Project Overview: Chat with Documents Using Open-Source LLMs Lecture 73 Task 2. Explore Hugging Face Models, Datasets, and Spaces Lecture 74 Practice Opportunity Question: Explore Hugging Face Lecture 75 Practice Opportunity Solution: Explore Hugging Face Lecture 76 Task 3. Install Key Libraries & Setup Access Tokens for Hugging Face Lecture 77 Practice Opportunity Question: GPU Access Check on Google Colab Lecture 78 Practice Opportunity Solution: GPU Access Check on Google Colab Lecture 79 Task 4. Hugging Face Transformers Library: Pipelines Lecture 80 Practice Opportunity Question: Transformers Pipelines Lecture 81 Practice Opportunity Solution: Transformers Pipelines Lecture 82 Task 5. Hugging Face Transformers Library: AutoTokenizers Lecture 83 Practice Opportunity Question: Transformers Library AutoTokenizer Lecture 84 Practice Opportunity Solution: Transformers Library AutoTokenizer Lecture 85 Task 6. Hugging Face Transformers Library: AutoModelForCasualLM Lecture 86 Practice Opportunity Question: Transformers AutoModelForCasualLM Lecture 87 Practice Opportunity Solution: Transformers AutoModelForCasualLM Lecture 88 Task 7. Read PDF Documents & Extract Content Using PyPDF Library Lecture 89 Practice Opportunity Question: PyPDF Library Lecture 90 Practice Opportunity Solution: PyPDF Library Lecture 91 Task 8. Build the Q&A Logic & Prompt the LLM (Microsoft Phi-4-mini) Lecture 92 Practice Opportunity Question: Test the Q&A Pipeline with Open-Source LLM Lecture 93 Practice Opportunity Solution: Test the Q&A Pipeline with Open-Source LLM Lecture 94 Task 9. Switch LLMs (LLama, Phi, & Gemma) & Build Gradio Interface Lecture 95 Practice Opportunity Question: Testing Qwen Open-Source LLM Lecture 96 Practice Opportunity Solution: Testing Qwen Open-Source LLM Lecture 97 Conclusion & Thank You! Section 9: Day 6: Reasoning Open-Source LLMs on Hugging Face & Model Leaderboards Lecture 98 Task 1. Introduction and Module Objectives - Reasoning LLMs on Hugging Face Lecture 99 Task 2. Explore Hugging Face Datasets Library & Install Key Libraries Lecture 100 Practice Opportunity Question: Explore Hugging Face Datasets Lecture 101 Practice Opportunity Solution: Explore Hugging Face Datasets Lecture 102 Task 3. Load Financial News Datasets from Hugging Face Lecture 103 Practice Opportunity Question: Explore Financial News Datasets Lecture 104 Practice Opportunity Solution: Explore Financial News Datasets Lecture 105 Task 4. Load and Test DeepSeek Reasoning Model - Part 1 Lecture 106 Task 4. Load and Test DeepSeek Reasoning Model - Part 2 Lecture 107 Practice Opportunity Question: Test Math Capabilities of DeepSeek Lecture 108 Practice Opportunity Solution: Test Math Capabilities of DeepSeek Lecture 109 Task 5. A Framework for Choosing the right AI Model for Your Business - Part 1 Lecture 110 Task 5. A Framework for Choosing the right AI Model for Your Business - Part 2 Lecture 111 Task 6. Model Leaderboards and Old/New Model Benchmarks - Part 1 Lecture 112 Task 6. Model Leaderboards and Old/New Model Benchmarks - Part 2 Lecture 113 Task 7. Prompting DeepSeek for Reasoning and Classification Lecture 114 Practice Opportunity Question: Analyze News Sentiment with DeepSeek Lecture 115 Practice Opportunity Solution: Analyze News Sentiment with DeepSeek Lecture 116 Task 8. Building Gradio Interface Lecture 117 Conclusion and Thank You! Section 10: Day 7: Build Retrieval Augmented Generation (RAG) Pipelines in LangChain Lecture 118 Task 1. Introduction & Module Objectives - Build RAG Pipelines in LangChain Lecture 119 Task 2. Understand Retrieval Augmented Generation (RAG) & Why Use it Lecture 120 Task 3. LangChain 101 & Key Features Lecture 121 Task 4. Setup, Gather RAG Tools & Load Datasets Lecture 122 Practice Opportunity Question: LangChain Textloader Testing Lecture 123 Practice Opportunity Solution: LangChain Textloader Testing Lecture 124 Task 5. Splitting (Chunking) Documents Using LangChain Text Splitter Lecture 125 Practice Opportunity Question: Configuring RecursiveCharacterTextSplitter Lecture 126 Practice Opportunity Solution: Configuring RecursiveCharacterTextSplitter Lecture 127 Task 6. Embeddings and Vector Store Creation Lecture 128 Practice Opportunity Question: Tensorflow Embeddings Projector Lecture 129 Practice Opportunity Solution: Tensorflow Embeddings Projector Lecture 130 Task 7. Testing the Retrieval Pipeline Lecture 131 Practice Opportunity Question: Retrieval Pipeline Testing Lecture 132 Practice Opportunity Solution: Retrieval Pipeline Testing Lecture 133 Task 8. Building and Testing RAG Pipeline in LangChain Lecture 134 Practice Opportunity Question: RetrievalQAWithSourcesChain Parameters Lecture 135 Practice Opportunity Solution: RetrievalQAWithSourcesChain Parameters Lecture 136 Task 9. Creating Gradio Interface for Our RAG Pipeline Lecture 137 Practice Opportunity Question: Gradio Interface Configuration & Testing Lecture 138 Practice Opportunity Solution: Gradio Interface Configuration & Testing Lecture 139 Conclusion, Summary, & Thank You Message! Section 11: Day 8: Build a Resume & Cover Letter AI Assistant with OpenAI & Pydantic Lecture 140 Task 1. Introduction to Resume & Cover Letter Building Project with Pydantic Lecture 141 Task 2. Pydantic 101 & Python Type Hints Lecture 142 Practice Opportunity Question: Pydantic Models Lecture 143 Practice Opportunity Solution: Pydantic Models Lecture 144 Task 3. Generate Parsed Structured Output from OpenAI API with Pydantic Lecture 145 Practice Opportunity Question: Structured Output with OpenAI API & Pydantic Lecture 146 Practice Opportunity Solution: Structured Output with OpenAI API & Pydantic Lecture 147 Task 4. Define LLM Inputs Including Job Description & Original Resume Lecture 148 Practice Opportunity Question: Modify Job Description Lecture 149 Practice Opportunity Solution: Modify Job Description Lecture 150 Task 5. Enhance Resume with OpenAI's GPT-4.o Lecture 151 Practice Opportunity Question: Gemini API Testing Lecture 152 Practice Opportunity Solution: Gemini API Testing Lecture 153 Task 6. Perform Resume & Job Description Gap Analysis with LLMs Lecture 154 Practice Opportunity Question: Modify Functions to Include AI Skills Lecture 155 Practice Opportunity Solution: Modify Functions to Include AI Skills Lecture 156 Task 7. Generate a New Tailored Resume by AI with Change Tracking (Pydantic) Lecture 157 Practice Opportunity Question: Generate Resume Function Testing Lecture 158 Practice Opportunity Solution: Generate Resume Function Testing Lecture 159 Task 8. Generate a Custom Cover Letter Lecture 160 Practice Opportunity Question: Generate Cover Letter Function Testing Lecture 161 Practice Opportunity Solution: Generate Cover Letter Function Testing Lecture 162 Task 9. Unified Resume and Cover Letter Generation Function Lecture 163 Practice Opportunity Question: Test the Entire Workflow with New Data Lecture 164 Practice Opportunity Solution: Test the Entire Workflow with New Data Lecture 165 Concluding Remarks and Thank You! Section 12: Day 9: Fine-Tuning of Large Language Models with LORA, SFTTrainer, PEFT, & TRL Lecture 166 Task 1. Project Introduction and Welcome Message: Fine-Tuning of LLMs Lecture 167 Task 2. Import Key Libraries and Datasets Lecture 168 Practice Opportunity Question: GPU Detection Tesla T4 & A100 Lecture 169 Practice Opportunity Solution: GPU Detection Tesla T4 & A100 Lecture 170 Task 3. Load and Prepare the Financial News Datasets Lecture 171 Practice Opportunity Question: Explore Data Imbalance & Seaborn Countplot Lecture 172 Practice Opportunity Solution: Explore Data Imbalance & Seaborn Countplot Lecture 173 Task 4. Format the Data into Supervised Fine-Tuning (SFT) Trainer Format Lecture 174 Practice Opportunity Question: Formatting DeepSeek Models in SFTTrainer Format Lecture 175 Practice Opportunity Solution: Formatting DeepSeek Models in SFTTrainer Format Lecture 176 Task 5. Understand Confusion Matrix & Classification KPIs (Precision, recall,..) Lecture 177 Task 6. Perform Zero-Shot Classification With Base Model (Inference) - Part 1 Lecture 178 Task 6. Perform Zero-Shot Classification With Base Model (Inference) - Part 2 Lecture 179 Practice Opportunity Question: Zero-Shot Inference on Base Model Lecture 180 Practice Opportunity Solution: Zero-Shot Inference on Base Model Lecture 181 Task 7. Perform LLMs fine-tuning Using PEFT, LORA, & SFTTrainer Lecture 182 Task 8. Evaluate Fine-Tuned Large Language Models Lecture 183 Practice Opportunity Question: Plot Confusion Matrix & KPIs for Fine-Tuned LLM Lecture 184 Practice Opportunity Solution: Plot Confusion Matrix & KPIs for Fine-Tuned LLM Lecture 185 Conclusion, Summary, & Thank You! Section 13: -------PART C: AI AGENTS WITH LANGGRAPH, AUTOGEN, CREWAI, N8N, & MCP------- Lecture 186 Welcome to Part C of this bootcamp! Section 14: Day 10: Build Multi-Model AI Agent Teams Using AutoGen Lecture 187 Task 1. Introduction & Module Objectives - Build AI Agents Teams with AutoGen Lecture 188 Task 2. Understand AutoGen Capabilities & Key Features Lecture 189 Practice Opportunity Question: AI Agents Teams Design Lecture 190 Practice Opportunity Solution: AI Agents Teams Design Lecture 191 Task 3. Create Our First AI Agents in AutoGen with OpenAI GPT-4o Lecture 192 Practice Opportunity Question: Building AI Agents in AutoGen Lecture 193 Practice Opportunity Solution: Building AI Agents in AutoGen Lecture 194 Task 4. Test AI Agents Conversations with Similar LLM (OpenAI GPT-4o) Lecture 195 Practice Opportunity Question: Modify initiate_chat() Function Parameters Lecture 196 Practice Opportunity Solution: Modify initiate_chat() Function Parameters Lecture 197 Task 5. Configure Multi-Model AI Agents in AutoGen with Gemini & OpenAI's GPT-4o Lecture 198 Practice Opportunity Question: Configure AI Agents using Anthropic's Claude Lecture 199 Practice Opportunity Solution: Configure AI Agents using Anthropic's Claude Lecture 200 Task 6. Trigger Multi-Model AI Agents Conversations in AutoGen Lecture 201 Practice Opportunity Question: Adjusting AI Agent's Creativity Level Lecture 202 Practice Opportunity Solution: Adjusting Agent's Creativity Level Lecture 203 Task 7. Adding Human (User Proxy Agent) & Leveraging Group Chat Lecture 204 Practice Opportunity Question: Adding Claude's Social Media Strategist to Chat Lecture 205 Practice Opportunity Solution: Adding Claude's Social Media Strategist to Chat Lecture 206 Conclusion, Summary, & Thank You Message! Section 15: Day 11: Building AI Agentic Workflows in LangGraph Lecture 207 Task 1. Project Introduction - Building Agentic Workflows in LangGraph Lecture 208 Task 2. Understand LangGraph Components (Nodes, Edges, & State Graph) & Features Lecture 209 Task 3. Build Your First Agentic AI Workflow in LangGraph - Part 1 Lecture 210 Task 3. Build Your First Agentic AI Workflow in LangGraph - Part 2 Lecture 211 Practice Opportunity Question: Test Summarization AI Agent in LangGraph Lecture 212 Practice Opportunity Solution: Test Summarization AI Agent in LangGraph Lecture 213 Task 4. Build Multi Node Agentic Workflow in LangGraph Lecture 214 Practice Opportunity Question: Add a New Node (Sentiment) to Agentic Workflow Lecture 215 Practice Opportunity Solution: Add a New Node (Sentiment) to Agentic Workflow Lecture 216 Task 5. Develop Agentic AI Workflow with One Tool & Conditional Edges - Part 1 Lecture 217 Task 5. Develop Agentic AI Workflow with One Tool & Conditional Edges - Part 2 Lecture 218 Practice Opportunity Question: Calling Tools in LangGraph Lecture 219 Practice Opportunity Solution: Calling Tools in LangGraph Lecture 220 Task 6. Create and Add a New Custom Tool to LangGraph Workflows Lecture 221 Practice Opportunity Question: Define New Custom Tools in LangGraph Lecture 222 Practice Opportunity Solution: Define New Custom Tools in LangGraph Lecture 223 Task 7. Leverage LangGraph to Perform Flight Search with Amadeus Tool & ToolNode Lecture 224 Practice Opportunity Question: Adding Hotel Search Tool Using Amadeus Lecture 225 Practice Opportunity Solution: Adding Hotel Search Tool Using Amadeus Lecture 226 Task 8. Bringing Everything Together & Building the AI Booking Agent Lecture 227 Practice Opportunity Question: Test the AI Agent Booking Tool Lecture 228 Practice Opportunity Solution: Test the AI Agent Booking Tool Lecture 229 Task 9. Build a Gradio Integration for the Booking AI Agent in LangGraph Lecture 230 Summary & Thank You! Section 16: Day 12: Build A Team of Data Science AI Agents Using CrewAI Lecture 231 Task 1. Project Intro - Build a Team of Data Scientists Using CrewAI Lecture 232 Task 2. Build Train and Evaluate ML Models Regression Overview Lecture 233 Task 2A. Project Introduction ML regression Lecture 234 Task 2B. Machine Learning Regression 101 Lecture 235 Practice Opportunity Question: Regression 101 Lecture 236 Practice Opportunity Solution: Regression 101 Lecture 237 Task 2C. Import Libraries & Perform Data Inspection - Part 1 Lecture 238 Task 2C. Import Libraries & Perform Data Inspection - Part 2 Lecture 239 Practice Opportunity Question: Perform Data Inspection Lecture 240 Practice Opportunity Solution: Perform Data Inspection Lecture 241 Task 2D. Data Imputation & Handling Missing Dataset Lecture 242 Practice Opportunity Question: Data Imputation & Handling Missing Dataset Lecture 243 Practice Opportunity Solution: Data Imputation & Handling Missing Dataset Lecture 244 Task 2E. Perform Exploratory Data Analysis (EDA) and Visualization Lecture 245 Practice Opportunity Question: EDA and Visualization Lecture 246 Practice Opportunity Solution: EDA and Visualization Lecture 247 Task 2F. Data Pre-Processing (One-Hot-Encoding & Train/Test Split) Lecture 248 Practice Opportunity Question: Data Pre-Processing & Train/Test Split Lecture 249 Practice Opportunity Solution: Data Pre-Processing & Train/Test Split Lecture 250 Task 2G. Build Linear Regression Models Using Scikit-Learn Library Lecture 251 Practice Opportunity Question: Build Linear Regression Models Lecture 252 Practice Opportunity Solution: Build Linear Regression Models Lecture 253 Task 2H. Build Random Forest Regression Models Using Scikit-Learn Lecture 254 Practice Opportunity Question: Build Random Forest & XG-Boost Regression Models Lecture 255 Practice Opportunity Solution: Build Random Forest & XG-Boost Regression Models Lecture 256 Task 2I. Feature Importance Analysis Lecture 257 Practice Opportunity Question: Feature Importance Analysis Lecture 258 Practice Opportunity Solution: Feature Importance Analysis Lecture 259 Task 3. Understand CrewAI Key Components (Agents, Tasks, Tools) Lecture 260 Task 4. Import and Test NotebookCodeExecutor Tool Lecture 261 Practice Opportunity Question: Test NotebookCodeExecutor Tool Lecture 262 Practice Opportunity Solution: Test NotebookCodeExecutor Tool Lecture 263 Task 5. Define Multiple AI Agents in CrewAI Lecture 264 Practice Opportunity Question: Modify Existing AI Agents Lecture 265 Practice Opportunity Solution: Modify Existing AI Agents Lecture 266 Task 6. Define Key Tasks in CrewAI & Responsible Agents Lecture 267 Task 7. Creating & Assembling the Crew & Automating Data Science Workflow! Lecture 268 Practice Opportunity Question: Modifying Tasks to Build Decision Trees Lecture 269 Practice Opportunity Solution: Modifying Tasks to Build Decision Trees Lecture 270 Summary & Concluding Remarks Section 17: Day 13: Build Agentic AI Workflows in n8n Lecture 271 Introduction to n8n, Key Features, and Module Learning Objectives Lecture 272 Build Your First Summarization Agentic AI Workflow in n8n Lecture 273 Export Workflow, Track Variables and Monitor Logs Lecture 274 Practice Opportunity Question: Build a Translation Agentic Workflow Using Claud Lecture 275 Practice Opportunity Solution: Build a Translation Agentic Workflow Using Claude Lecture 276 Adding Search Capabilities, Memory, and Exploring n8n Templates Lecture 277 Practice Opportunity Question: Test the Agent Search Capabilities Lecture 278 Practice Opportunity Solution: Test the Agent Search Capabilities Lecture 279 Adding Google Sheet Integrations in n8n Agentic Workflows Lecture 280 Practice Opportunity Question: Build Agentic AI Workflow to Convert from Python Lecture 281 Practice Opportunity Solution: Build Agentic AI Workflow to Convert from Python Lecture 282 Generate Parsed Structured Output Using Output Parser in n8n Lecture 283 Build Workflows to Schedule Calendar Meetings in Google Calendars Lecture 284 Adding Email Triggering Capability Section 18: Day 14: Build AI Agents with Model Context Protocol (MCP) & OpenAI Agents SDK Lecture 285 Task 1. Project Overview with MCP & OpenAI Agents SDK Lecture 286 Task 2. Understanding Model Context Protocol (MCP) Lecture 287 Task 3. Install Key Libraries and Configure APIs Lecture 288 Task 4A. Build and Configure the MCP Server with Tools (Part 1) Lecture 289 Task 4A. Build and Configure the MCP Server with Tools (Part 2) Lecture 290 Task 4B. Launch the MCP Server Lecture 291 Practice Opportunity Question: Adding a New Tool to the MCP Server Lecture 292 Practice Opportunity Solution: Adding a New Tool to the MCP Server Lecture 293 Task 5. Explore Tools on MCP Server and Fetch the Manifest (Schema) Lecture 294 Practice Opportunity Question: MCP Server Manifest (Schema) Lecture 295 Practice Opportunity Solution: MCP Server Manifest (Schema) Lecture 296 Task 6. Create an AI Agent Using OpenAI Agents SDK With MCP Tools Lecture 297 Conclusion, Summary, & Thank You! Section 19: Congratulations and Thank You! Lecture 298 Congratulations and Thank You! Data scientists, ML engineers, and AI researchers who want to move into the agentic AI and LLM application space.,Software developers with basic Python skills who want to integrate cutting-edge LLMs and agent frameworks into real-world applications.,Tech professionals and AI enthusiasts interested in exploring open-source models (like LLaMA, DeepSeek, Owen, Phi) and frameworks (AutoGen, LangGraph, CrewAI, n8n).,Corporate innovation teams or R&D teams wanting to prototype AI-powered workflows, assistants, and automations.,Advanced students and educators looking for practical, hands-on experience with LLMs, fine-tuning, and prompt engineering.,Entrepreneurs and startups exploring AI-powered products like autonomous agents, resume editors, booking agents, and data science assistants. 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Free Download Udemy - Bali Two-Person Four-Hand Massage Course Published 5/2025 Created by lin Liu MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 9 Lectures ( 2h 54m ) | Size: 2.1 GB Two Therapists. Four Hands. One Transformative Experience What you'll learn Master the full-body four-hand Balinese massage protocol. Learn how to coordinate seamlessly with a partner therapist. Identify and avoid common mistakes in technique and client care. Understand relevant anatomy and energy pathways in treatment. Create a signature premium spa treatment to elevate your business. Requirements Two trained practitioners (you and a partner) A massage table, natural massage oil, towels Time commitment for hands-on practice and refinement A willingness to learn, coordinate, and deliver excellence Description Experience the art of harmony and healing with the Bali Two-Person Four-Hand Massage Course - an advanced, full-body massage technique rooted in the ancient wellness traditions of Indonesia's mystical island of Bali. This course introduces a luxurious and deeply therapeutic approach where two skilled therapists work in perfect synchronization, each using both hands to perform a seamless, rhythmic massage on one client.This unique technique offers far more than conventional relaxation. The coordinated movements of four hands create an enveloping flow that calms the nervous system, relieves chronic muscle tension, and restores balance to the body's energy channels. It is ideal for relieving symptoms such as back and leg pain, joint stiffness, stress, fatigue, and anxiety. Enhanced with the natural scent and healing properties of essential oils, the treatment becomes a full sensory experience that relaxes both body and mind.Passed down through generations, this method has evolved into one of the world's most exclusive spa treatments. It represents not just a massage, but a performance - where four hands move like dancers, intuitively adjusting rhythm, pressure, and energy flow.This course is perfect for massage therapists, spa professionals, and wellness entrepreneurs who wish to elevate their practice and deliver unforgettable high-end client experiences. Who this course is for Spa and massage professionals seeking advanced skills Aspiring therapists planning to start a massage or wellness business Salon and spa owners looking to offer a premium, signature treatment Wellness retreat facilitators and holistic healing practitioners Homepage https://www.udemy.com/course/bali-two-person-four-hand-massage-course/ Rapidgator Links Download https://rg.to/file/8bd44ab574399eecca4b0a44cf5d0d50/frloi.Bali.TwoPerson.FourHand.Massage.Course.part3.rar.html https://rg.to/file/dffedcc06c291ef7d8b47c3507087811/frloi.Bali.TwoPerson.FourHand.Massage.Course.part1.rar.html https://rg.to/file/e45adcec14e770b23384ae5bea5c4a0b/frloi.Bali.TwoPerson.FourHand.Massage.Course.part2.rar.html Fikper Links Download https://fikper.com/0CRXxypkPQ/frloi.Bali.TwoPerson.FourHand.Massage.Course.part3.rar.html https://fikper.com/0P6TUUvvjV/frloi.Bali.TwoPerson.FourHand.Massage.Course.part1.rar.html https://fikper.com/bhneDvyRqd/frloi.Bali.TwoPerson.FourHand.Massage.Course.part2.rar.html No Password - Links are Interchangeable

Free Download Udemy - Bachata Arm Styling Elevate Your Dance Elegance Published 5/2025 Created by Alexa Bachata MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 12 Lectures ( 2h 4m ) | Size: 2.63 GB Learn how to avoid common arm styling mistakes and dance with grace, control, and confidence on any Bachata floor. What you'll learn Master essential Bachata arm styling techniques for solo and partner dancing. Learn how to avoid stiffness or over-exaggerated movements. Build self-confidence and develop your own unique dance style. Improve flexibility and fluidity with a dedicated daily warm-up routine. Apply arm styling to basic steps, shadow position, turns, and more. Requirements No prior experience needed. Suitable for absolute beginners and experienced dancers alike. All you need is space to move and a willingness to have fun while learning. Description Unlock your full potential on the dance floor with Bachata Arm Styling: Elevate Your Dance Elegance - a specialized Udemy course dedicated entirely to helping you master graceful, confident arm movements in Bachata! Whether you're a beginner or an experienced dancer, this course is designed to transform your movements, boost your confidence, and help you develop your own unique style.Have you ever felt unsure of what to do with your hands while dancing? Many dancers struggle with stiffness, awkwardness, or dropping their arms during social dancing. In this course, we'll tackle those common mistakes head-on and give you the tools to feel in control, expressive, and elegant - from fingertips to posture.You'll learn essential arm styling techniques for both solo and partner dancing. You'll discover how to use your hands, arms, and shoulders with fluidity and purpose, creating beautiful lines and feminine expression. We'll also cover a targeted warm-up routine to improve flexibility, posture, and coordination - so you can move with ease and grace.Through 11 high-quality video lessons, you'll practice arm styling in basic steps, shadow positions, turns, and musical accents. You'll learn how to avoid typical errors, increase body awareness, and integrate arm movements naturally into your dancing.By the end of this course, you'll have the tools to stand out at any social or party, express yourself confidently, and elevate your overall dance presence. Join me on this exciting journey - I can't wait to dance with you! Who this course is for Beginners eager to develop graceful arm styling in Bachata. Intermediate dancers looking to polish their solo or partner technique. Performers and competitors aiming to stand out on stage. Dance teachers who want new tools and exercises for their students. Anyone wanting to feel more confident and feminine on the dance floor. Social dancers preparing for parties, festivals, or socials. Homepage https://www.udemy.com/course/bachata-arm-styling/ Rapidgator Links Download https://rg.to/file/0d98b763d3d7ee0e3cb279c6703b2893/eaeyz.Bachata.Arm.Styling.Elevate.Your.Dance.Elegance.part1.rar.html https://rg.to/file/44ce91eec6033537af5fc6e433934db8/eaeyz.Bachata.Arm.Styling.Elevate.Your.Dance.Elegance.part2.rar.html https://rg.to/file/86d53b71a07a8906d42d35d6a33a2d26/eaeyz.Bachata.Arm.Styling.Elevate.Your.Dance.Elegance.part3.rar.html Fikper Links Download https://fikper.com/Afr0jfEOEh/eaeyz.Bachata.Arm.Styling.Elevate.Your.Dance.Elegance.part1.rar.html https://fikper.com/ahwpxGiHZt/eaeyz.Bachata.Arm.Styling.Elevate.Your.Dance.Elegance.part2.rar.html https://fikper.com/w6F3gzZIgE/eaeyz.Bachata.Arm.Styling.Elevate.Your.Dance.Elegance.part3.rar.html No Password - Links are Interchangeable

Free Download Udemy - Baby Massage for Parents Supporting Development and Bonding Published 5/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 59m | Size: 804 MB Learn gentle, effective massage techniques to soothe your baby, support development, and strengthen your bond. What you'll learn How to confidently perform a full-body baby massage routine, using safe, gentle techniques that promote relaxation and bonding. Understand the physical and emotional benefits of baby massage for both babies and parents, including improved sleep, digestion, and attachment. Recognize and respond to your baby's cues and comfort levels during massage sessions, ensuring a positive and respectful experience. Create a calm, nurturing environment at home for regular baby massage, integrating it into your daily or weekly routine with confidence. Requirements No experience needed. You will learn everything you need to know to massage your baby. Description Discover the beautiful benefits of baby massage in this nurturing, beginner-friendly course for parents and caregivers. Led by a certified baby massage instructor and Physiotherapist, you'll learn how to confidently massage your baby to encourage sleep, relieve colic, and support emotional connection in a relaxed and loving environment.This course includes:The benefits of baby massageStep-by-step guided massage routinesTips for reading your baby's cuesTools to create a calming, loving environmentSafety considerationsLifetime access and downloadable resourcesThis course has been created by Bee Happy Babies LLP, a company passionate about making baby massage more accessible and inclusive for all families. The co-founders and course creators have over 30 years of combined experience in physiotherapy, education, and parent support, including specialist knowledge in paediatrics and early development.You'll learn how to safely adapt massage techniques to suit your baby's individual needs, temperament, and stage of growth. The course is structured in clear, easy-to-follow modules that combine short presentations, high-quality demonstration videos, and printable PDFs you can refer to at home or on the go.Whether you're a new parent or looking to deepen your connection, this course gives you the tools, techniques, and confidence to make baby massage part of your loving care routine. As part of our commitment to giving babies the best start in life possible, for every course purchased, we donate to Bliss, a charity supporting premature or sick babies and their families and plant a tree with One Tree Planted, so from us and them, thank you.Disclaimer:This course is designed for educational purposes only and is intended to provide general information about baby massage techniques for parents and caregivers. The content presented in this course should not be considered medical advice, diagnosis, or treatment. Always consult with a qualified healthcare provider before beginning any new massage routine with your child, especially if your child has any pre-existing medical conditions, allergies, or skin sensitivities. Who this course is for This course is for parents and other family members who want to learn baby massage techniques to use with their own children. Homepage https://www.udemy.com/course/baby-massage-for-parents-supporting-development-and-bonding/ Rapidgator Links Download https://rg.to/file/8a77fee4228760097da9cffb95e8e176/qmooc.Baby.Massage.for.Parents.Supporting.Development.and.Bonding.rar.html Fikper Links Download https://fikper.com/pO2AUtWXw6/qmooc.Baby.Massage.for.Parents.Supporting.Development.and.Bonding.rar.html No Password - Links are Interchangeable

Free Download Udemy - BLENDER How to create and rig the Iron Giant Last updated 10/2022 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 19h 39m | Size: 15.8 GB learn how to create THE IRON GIANT we will discuss modeling, unwrapping, Rigging, Texturing and Rendering with Blender What you'll learn modeling the Iron giant from start to finish unwrapping the whole model from start to finish Rigging, we will learn how to rig the robot so you can make it ready to animation Texturing, we will use PBR mterial to make the robot looks realistic by using Substace Painter. Rendering, we will make quick render to the final result with Cycles and Eevee. Requirements you need a computer Download Blender 2.91 from the official website. Description Hi everyone, my name is Marwan Hussain, I'm a 3D artist I made a new course about Iron Giant but this course is different from my other courses on the Udemy platform, in this course I will teach you how to make rigging, we will learn how to r rig this robot from start to finish.Before we jump to that let's talk about what we will do in the beginning, in the beginning, we will learn how to model the whole robot from start to finish, this kind of modeling call Hard surface, it's a lot of fun we will learn how to shade your model correctly, how to use Bevel modifier symmetry, and other modifiers,until we got a nice smooth result at the end of this section ( modeling ) After that we will jump to the next section I will call it Unwrapping, we will learn how to unwrap hard surface modeling correctly and reduce the UV distortion at the minimum I will unwrap all the pieces one by one so you could learn how to do that and make it easier for you.After the unwrapping section, we will start with the rig journey, in this journey, we will learn how to use armature and how to rig all necessary joint so you could be able to move your robot and make it ready for some animation. the last section will be the Texturing and Rendering, this is very important section because the final result depends on it.we will export the project to Substance Painter and we will start the texture journey there, we will learn how to make realistic PBR material from scratches step by step and we will learn how to add the wether effect like rust and dust so it looks old and dirty, all of that will done with Substance Painter after we finish texturing journey we will import the PBR texture back to Blender to make the render.I will render the scene with Cycles and Eevee, and after that, we will make some quick post-processing with the compositor. 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Free Download Udemy - BIM Planning&Management(BIM Manager Role)&BEP (Crash Course) Published 5/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 50m | Size: 280 MB Learn the overall project lifecycle and the role of the BIM Manager and how to create the BEP What you'll learn You will learn the Role of The BIM Manager You will learn the Roles and Responsibilities for all BIM Team You will learn the total Project BIM Management Steps You will learn the Details of the BIM Execution Plan Requirements BIM Concept Revit & Navisworks Overview Description BIM Planning & Management (BIM Manager Role) & BEPLearn the overall project lifecycle and the role of the BIM Manager and how to create the BEPThis course offers a concise and practical introduction to BIM project management, focusing on the key role of the BIM Manager. It covers the development of BIM Execution Plans (BEP), team coordination, model quality control, and collaboration in Common Data Environments (CDE).You will learn the BIM ConceptYou will learn the Details of the BIM Execution PlanYou will learn the total Project BIM Management StepsYou will learn the Roles and Responsibilities for all BIM TeamYou will learn the Role of The BIM ManagerCourse Contents:BIM OverviewBIM Execution PlanBIM Teams Roles & ResponsibilitiesBIM Team Organization ChartBIM Scope of WorksModel LOD 300Model LOD 350 (Coordination & Shop Drawings)BOQ4D5DFacility ManagementAS Built Model (LOD 500)BIM RequirementsBIM ZoningBIM WorkflowInitial BIM PlanBIM Progress ReportsBIM Model Criteria & GuidelinesCommunication and Information ExchangeLOD Definition (LOD 100 - LOD 200 - LOD 300 - LOD 350 - LOD 400 - LOD 500)Modelling MethodologyNaming ConventionModel DivisionsBIM Model Zone DivisionsBIM Model Trade DivisionsModel Quality Control MethodologyInformation Exchange WorkflowBIM Documentation & Standards:• Understanding and implementing EIR (Employer's Information Requirements)• Writing and applying a BEP (BIM Execution Plan)• Naming conventions, LOD standards and IFC basics Who this course is for BIM Engineers Architecture BIM Engineer Structure BIM Engineers Mechanical BIM Engineers Electrical BIM Engineers Tech Office Engineers BIM Coordinators Homepage https://www.udemy.com/course/bim-planningmanagementbim-manager-rolebep-crash-course/ Rapidgator Links Download https://rg.to/file/65ff940d09c05d982af8443ad1669937/yacth.BIM.PlanningManagementBIM.Manager.RoleBEP.Crash.Course.rar.html Fikper Links Download https://fikper.com/F5IiSWuQeT/yacth.BIM.PlanningManagementBIM.Manager.RoleBEP.Crash.Course.rar.html No Password - Links are Interchangeable

Free Download Udemy - Azure Well-Architected Framework (WAF) Published 5/2025 Created by Christopher Nett MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 40 Lectures ( 3h 4m ) | Size: 1.2 GB Reliability | Security | Cost | Operational Exellence | Performance What you'll learn Basics - Azure: Gain a foundational understanding of Microsoft Azure, its core services, and best practices for cloud computing. Microsoft Azure Well-Architected Framework: Learn the principles of the Azure Well-Architected Framework. Reliability: Explore how to build reliable applications in Azure by implementing redundancy, failover strategies, and disaster recovery solutions. Security: Understand Azure's security best practices, including identity protection, encryption, network security, and compliance. Cost Optimization: Learn how to manage and optimize Azure costs through resource planning, scaling strategies, and cost analysis tools. Operational Excellence: Discover how to streamline operations in Azure using automation, monitoring, and governance frameworks. Performance Efficiency: Explore techniques to optimize the performance of cloud applications, including scaling, caching, and efficient resource utilization. Azure Well-Architected Review: Understand the process of conducting an Azure Well-Architected Review to assess and improve cloud workloads. Azure Advisor: Learn how Azure Advisor provides best practice recommendations for cost savings, security enhancements, and performance improvements. Azure Service Guides: Explore detailed guidance on key Azure services, their use cases, and best practices for deployment and management. Requirements Basic IT Knowledge Willingness to learn cool stuff! Description Azure Well-Architected Framework by Christopher Nett is a meticulously organized Udemy course designed for IT professionals aiming to master the Azure Well-Architected Framework. This course systematically guides you from the basics to advanced concepts of the Azure Well-Architected Framework.By mastering the Azure Well-Architected Framework, you're developing expertise in essential topics in today's IT landscape.Key Benefits for you:Basics - Azure: Gain a foundational understanding of Microsoft Azure, its core services, and best practices for cloud computing.Microsoft Azure Well-Architected Framework: Learn the principles of the Azure Well-Architected Framework and how it helps design secure, high-performing, and resilient cloud solutions.Reliability: Explore how to build reliable applications in Azure by implementing redundancy, failover strategies, and disaster recovery solutions.Security: Understand Azure's security best practices, including identity protection, encryption, network security, and compliance.Cost Optimization: Learn how to manage and optimize Azure costs through resource planning, scaling strategies, and cost analysis tools.Operational Excellence: Discover how to streamline operations in Azure using automation, monitoring, and governance frameworks.Performance Efficiency: Explore techniques to optimize the performance of cloud applications, including scaling, caching, and efficient resource utilization.Azure Well-Architected Review: Understand the process of conducting an Azure Well-Architected Review to assess and improve cloud workloads.Azure Advisor: Learn how Azure Advisor provides best practice recommendations for cost savings, security enhancements, and performance improvements.Azure Service Guides: Explore detailed guidance on key Azure services, their use cases, and best practices for deployment and management. Who this course is for Azure Administrator Cloud Administrator Cloud Architect Cloud Engineer Security Architect Security Manager Security Engineer IT Manager Homepage https://www.udemy.com/course/azure-well-architected-framework-waf/ Rapidgator Links Download https://rg.to/file/cf40432b0ce0a28f98f0e6b8a4d67059/issbb.Azure.WellArchitected.Framework.WAF.part1.rar.html https://rg.to/file/df0a8079fc224a2b7abbe9f83e8af527/issbb.Azure.WellArchitected.Framework.WAF.part2.rar.html Fikper Links Download https://fikper.com/XXaaAh4uuX/issbb.Azure.WellArchitected.Framework.WAF.part1.rar.html https://fikper.com/sM3PB6oY8u/issbb.Azure.WellArchitected.Framework.WAF.part2.rar.html No Password - Links are Interchangeable

Free Download Udemy - Azure AI Foundry Published 5/2025 Created by Bharadwaja Choudhury MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 26 Lectures ( 1h 58m ) | Size: 905 MB Innovation With Generative AI On Cloud What you'll learn Azure AI Foundry platform Deploying Models in Azure AI Foundry Safety and Security in AI Responsible AI Generative AI Microsoft AI Azure AI Studio Requirements Basic Understanding of AI Access to MS Azure portal Description Unlock the potential of Azure AI Foundry with this comprehensive tutorial designed for learners eager to understand generative AI and its applications within Microsoft's cutting-edge AI platform. This course lays the foundation for generative AI, providing a structured walkthrough of the Azure AI Foundry user interface, various AI models, and the OpenAI service, along with an exploration of multiple playgrounds for OpenAI models.Learners will gain insights into responsible AI principles, ensuring ethical and well-governed AI usage in practical scenarios. Through interactive lessons and demonstrations, this course equips students with a strong understanding of Microsoft Azure's AI ecosystem, making it easier to navigate and deploy AI solutions effectively.After completing this course, the students will learn the foundations of the AI platform on Azure which used to be Azure AI Studio. It was further enhanced and rebranded as "Azure AI Foundry".Whether you're an AI enthusiast or a professional looking to expand your expertise, this tutorial will provide a structured approach to grasping the capabilities of Azure AI Foundry.Disclaimer:This course is for educational purposes only. Any practical implementation of AI models and services should be conducted with due diligence and in compliance with ethical and regulatory guidelines. This tutorial does not serve as a real-time implementation guide. Who this course is for AI Enthusiasts Business Professionals IT Professionals Homepage https://www.udemy.com/course/azure-ai-foundry/ Rapidgator Links Download https://rg.to/file/725ec31985ad6762bba2aba5c0b9baa6/xsiti.Azure.AI.Foundry.rar.html Fikper Links Download https://fikper.com/V3owsE2iCx/xsiti.Azure.AI.Foundry.rar.html No Password - Links are Interchangeable

Free Download Udemy - Ayurveda for Healthy Life Guru Course (Certification) Last updated 5/2025 Created by Dr. Pragya Gupta MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English + subtitle | Duration: 259 Lectures ( 36h 22m ) | Size: 17 GB Get free ebook and personalized certificate. Captions in 8 Languages. One on one Q&A support. What you'll learn Basic Concepts of Ayurveda Organic Remedies for diseases Calculate your own body constitution Diet and Lifestyle Tips for your body personality Understand Digestion as per Ayurveda and how to have a healthy Digestion Ayurvedic therapies Detoxification techniques Ayurvedic herbs Causes of Disease How to prevent a disease Personal health recommendations Personalized Certificate Requirements Willingness to learn about ayurveda Description This Course is Specially designed for those who want to learn and live Ayurveda.More than 200 topics of Ayurveda are included in this course in the form of short and easy to understand lectures.You will learn the basic concepts of Ayurveda and how to incorporate them in daily life.Learn all about digestion and how to have healthy digestive systemThis Course includes:> 30 hours of Video lectures explaining all the concepts of Ayurveda>Manually added captions in English for better understanding> Captions in French , German, Italian, Spanish ,Portuguese, Japanese, Russian> Downloadable resources > Free Ayurveda Cooking eBook containing 150 Ayurvedic Recipes>Know your body constitution Questionnaire > Health tips>Ayurvedic Detox> To the point lectures, no long stories>Personal Health Recommendations>Daily Routine with practical tips> Pulse diagnosis (Nadi Pareeksha)>Practice Quizzes to review the lessons>Guided Non sleep deep rest technique (NSDR/ Yoga Nidra)>Guided mediation practices> Steps of Yoga Postures>Organic Home Remedies >Ayurvedic view on different diseases> Detoxification at home>Weight loss>Personalized Certificate from Dr Pragya GuptaYou will learn how to apply the teachings of Ayurveda in everyday life. The main aim of Ayurveda is to protect the health of a person. This course will educate you about the right diet and lifestyle to be followed which will help in maintaining a healthy life.The balanced and the imbalanced state of Doshas will be explained.The concept of three Doshas will help in determining the body constitution which is essential to choose what food and activities suits you the best. You will be provided with the diet and lifestyle tips for each dosha dominance.You will learn the concept of Agni which is the key to health. Tips to balance Agni or digestive fire will be provided. You will learn different ways to boost immunity as per Ayurveda.The Dinacharya or the daily regimen will help you in following a daily routine which will make sure that all the doshas are in balanced state. The science of six tastes will help in knowing what should be the order of eating each taste.You will be learning the qualities and benefits of eating six rasas or tastes .The relation of six tastes and three doshas will help in choosing the right diet for a particular dosha predominance.You will learn the compatible and incompatible food combinations as per Ayurveda.The rules of eating curd and the properties of curd as per ayurveda will be explained.The three gunas and sattvic, Rajasic, Tamasic Diet will be explained.How to Fast the Ayurvedic way, Benefits of Fasting will be explained.Various detox recipes.Panchakarma therapies will be discussed.You will learn different ayurveda formulations and ayurvedic treatments.Ayurvedic view on different diseases.Some practical aspects like oil pulling, Tongue scraping, Self massage will be covered.In addition you will be learning Ayurvedic Recipes and Ayurvedic life hacks.Some organic natural remedies for hair fall, eye health, lower back pain will be explained.Quizzes are provided for self assessment.Get personal health recommendations.**You will also get a Personalized Certificate after the completion of this course.(The course is continuously being updated with new topics. 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Free Download Udemy - Automotive Diagnostics (OBD) (2025) Published 5/2025 Created by Clive Crewe MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 10 Lectures ( 2h 8m ) | Size: 819 MB Basics, Protocols and Future trends What you'll learn Understand the history and evolution of OBD Interpret and analyse Diagnostic Trouble Codes (DTCs) Explore UDS communication protocols and OSI layer mapping Apply model based design in Simulink to diagnostics for real systems, including worked example of a transmission and EV battery diagnostics Evaluate legislation (OBD-II, EOBD, ISO 14229) and security implications Use model-based and data-driven diagnostic approaches Recognise the role of telematics and predictive diagnostics, prognostics and health management Requirements Computer with internet access, a suitable vehicle. OBD Scan tool(optional) Description This comprehensive course introduces learners to the principles, technologies, and evolving practices in automotive diagnostics. From traditional On-Board Diagnostics (OBD-II) to advanced Unified Diagnostic Services (UDS) and predictive maintenance (prognostics and health management) it equips automotive professionals with the knowledge to confidently identify, interpret, and respond to vehicle faults.You will learn how diagnostics fit into the vehicle development lifecycle, explore fault detection strategies (model-based and data-driven), and understand the role of legislation in shaping diagnostic standards like ISO 14229 and SAE J1979. Real-world systems are described with a worked example of a diagnostic system for a dual-clutch transmission, which is used to illustrate software development in modern vehicles.The course also covers UDS message structure, OSI layer mapping, and security implications-highlighting how diagnostic ports can be exploited if not secured. As vehicles become more connected, the course discusses the integration of diagnostics with telematics, over-the-air updates, and the shift toward cloud-based monitoring and prognostics.Ideal for automotive engineers, technicians, tool developers, and trainers, this course blends theory with applied examples to build deep competence in vehicle diagnostics. Whether you're in the workshop or designing the next generation of ECUs, this course will elevate your understanding and readiness for tomorrow's vehicles.At the end of the technical sections, a short quiz aids the learning process. These are optional, and the answers are shown on the slide following the quiz. Who this course is for Automotive engineers, vehicle technicians, diagnostic tool developers, technical trainers, and automotive electronics students. Homepage https://www.udemy.com/course/automotive-diagnostics-obd/ Rapidgator Links Download https://rg.to/file/6dd1c43c76b60b3e3084dd11da1483b9/euhgr.Automotive.Diagnostics.OBD.2025.rar.html Fikper Links Download https://fikper.com/w8qqveq41K/euhgr.Automotive.Diagnostics.OBD.2025.rar.html No Password - Links are Interchangeable

Free Download Udemy - Automate CentOS Linux SysAdmin tasks in 60+ Ansible Examples Last updated 12/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.72 GB | Duration: 10h 15m Automate the most common System Administrator tasks in CentOS Linux with some real-life examples Ansible Playbook What you'll learn Automate CentOS Linux System Administrator tasks Automate RedHat Linux System Administrator tasks Ansible in real life use cases Ansible code by modules Ansible code specific for CentOS systems Ansible code specific for RedHat-like systems Requirements Ansible basic knowledge Description Learn about Ansible automation technology with some real-life examples.Every successful IT department needs automation nowadays for bare metal servers, virtual machines, could, containers, and edge computing. Automate your IT journey with Ansible automation technology.I'm going to teach you, example by example, how to accomplish the most common System Administrator tasks.Each of the 60+ lessons summarizes an Ansible module that you could use in your journey, from the most important parameter to some live demo of code and real-life usage. Each code is battle-proved in real life. Console interaction and verification are included in every video. Automate every mundane activity in Linux, like editing config files becomes easy from editing a line, multiple lines, or creating from the template, testing if a host is available, pausing the execution, rebooting a server, checking out some code from a git repository via HTTPS or SSH with key, copying files to or from a remote host, restart services and use Ansible templates, register the systems to Subscription Manager, install packages and rolling updates, open firewall ports and set up an NFS server could be automated with some lines of code and these are only some of the long lists included in the course.Some Ansible codes are usable in all Linux systems.Are you ready to automate your day with Ansible? System Administrator,Cloud Engineer,DevOps,IT Professional Homepage https://www.udemy.com/course/automate-centos-linux-sysadmin-tasks-by-ansible-examples/ Rapidgator Links Download https://rg.to/file/7cd5035c1c850677bdb9eda89a0c708d/dilpk.Automate.CentOS.Linux.SysAdmin.tasks.in.60.Ansible.Examples.part3.rar.html https://rg.to/file/9e412f865f6ee09f7e9a22f955559444/dilpk.Automate.CentOS.Linux.SysAdmin.tasks.in.60.Ansible.Examples.part4.rar.html https://rg.to/file/9ebc5751efa6671361b3ad8a91a94ee5/dilpk.Automate.CentOS.Linux.SysAdmin.tasks.in.60.Ansible.Examples.part2.rar.html https://rg.to/file/b40d8dd101edaf565e7062b9754ecd67/dilpk.Automate.CentOS.Linux.SysAdmin.tasks.in.60.Ansible.Examples.part1.rar.html Fikper Links Download https://fikper.com/8GHwvhzOzZ/dilpk.Automate.CentOS.Linux.SysAdmin.tasks.in.60.Ansible.Examples.part1.rar.html https://fikper.com/Ba4IRKxn7m/dilpk.Automate.CentOS.Linux.SysAdmin.tasks.in.60.Ansible.Examples.part2.rar.html https://fikper.com/deQqdz7nII/dilpk.Automate.CentOS.Linux.SysAdmin.tasks.in.60.Ansible.Examples.part4.rar.html https://fikper.com/dmGDQtWKZx/dilpk.Automate.CentOS.Linux.SysAdmin.tasks.in.60.Ansible.Examples.part3.rar.html No Password - Links are Interchangeable

Free Download Udemy - Audio Theory Fundamentals for Sound Design Published 5/2025 Created by David Lauritsen MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 124 Lectures ( 20h 27m ) | Size: 18 GB Understand audio at a higher level What you'll learn Learners will gain a solid foundation of audio theory knowledge relevant to the sound design disciplines Learners will be able to predict and explain results of audio recordings based on theoretical knowledge Students will be given a solid basis of knowledge regarding microphone and recording theory Students will gain a good foundation of knowledge of audio effects and signal processes Requirements You will need a digital audio workstation (audio editing software) of some sort, and either headphones or speakers. That's it! This course is friendly for beginners, so no experience is required Description This course takes you through audio theory from A to Z with a particular focus on topics that are of interest to sound designers. Any topic from the broader audio engineering discipline that I feel is applicable and relevant to the art of sound design, I've included in this course curriculum. The course doesn't necessarily teach you sound design, as such, it more focuses on audio engineering theoretical topics that will aid in your journey and give you a denser understanding of what is happening 'underneath the hood' when it comes to various tools, software and techniques that we use every day.Starting from the most fundamental of 'what is sound,' 'what sound waves are exactly' before moving all the way up to some pretty advanced and niche signal processing tools, this course should give you a deeper appreciation of the tools we use.One of the things that I reiterate in the final video of the course is that the theoretical knowledge you gain in this course are tools in your belt that you are able to access when things are going wrong. If something sounds like "A" but I need it to sound like "B" how do I get there? Or I "expected it to sound like 'C' but instead it sounds like 'D,' why would that be the case?" 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Free Download Udemy - Artificial Intelligence Masterclass Real-World AI Projects Published 5/2025 Created by Skills Marathon,Akhil Vydyula MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 84 Lectures ( 22h 56m ) | Size: 13.1 GB Master AI with hands-on projects, ChatGPT, machine learning, computer vision, no-code tools & real-world case studies - What you'll learn Understand the core concepts of Artificial Intelligence and how AI is shaping the future. Differentiate between Artificial Intelligence, Machine Learning, and Deep Learning. Identify real-world applications of AI in healthcare, finance, retail, and more. Gain hands-on experience with basic AI tools, platforms, and use cases. Requirements No programming experience needed. This course is designed for absolute beginners. 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Explore advanced topics such as Graph Neural Networks, Bayesian methods, and Meta-Learning with working examples. Requirements No prior background in AI is required. Basic programming knowledge helps, but there's an optional Python section at the beginning for anyone who needs it. You'll need a computer that can run Python and a stable internet connection to follow along with the tools and notebooks. Description This course is built for learners who want a serious, structured path into Artificial Intelligence. Whether you're coming from engineering, programming, or analytics - or even starting from scratch - you'll find that everything here is laid out in a practical, step-by-step format.We start with foundational math and basic Python - so you don't have to worry if you haven't used linear algebra or probability in a while. 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Free Download Udemy - Art Gallery Management Curation, Operations & Finance Published 5/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 4h 37m | Size: 2.32 GB Learn to curate exhibitions, optimize gallery operations, and manage finances for sustainable art spaces. What you'll learn Define the role of curators and apply decision-making frameworks to select and present artworks effectively. Craft a clear curatorial vision and strategic exhibition narrative aligned with a gallery's mission and objectives. Design exhibition layouts and visitor flow plans that optimize spatial planning, lighting, and audience engagement. Apply best practices for artwork acquisition, provenance research, and preservation to maintain collection integrity. Requirements Basic knowledge of art history and museum concepts; proficiency with Microsoft Office or Google Suite; access to a computer and internet connection. 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