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The complete Claude AI tutorial for beginners: climb all 6 levels, from your first prompt to Claude working while you're away. Files, deep research, projects, connectors, Cowork, and building real websites with Claude Code. ✅ Omnisend (30% for 3 Months with Code MM30): https://meticsmedia.com/omnisend-MSK In this Claude AI tutorial for beginners you'll learn: ✔️ What Claude AI is and how to create a free Claude account ✔️ How to write AI prompts that get great results (context, task, format) ✔️ Claude models explained (Sonnet, Opus, Haiku) plus usage limits and effort settings ✔️ Uploading files and images for AI document analysis ✔️ Web search and Deep Research: cited AI research reports ✔️ Creating Excel spreadsheets, Word documents, and interactive web pages with AI ✔️ Claude Projects, personal instructions, memory, and importing your ChatGPT memory ✔️ The Claude mobile app and desktop app ✔️ Connecting Claude to your apps with connectors and MCP (Google Calendar, Omnisend email marketing) ✔️ Installing Claude Skills ✔️ Cowork: letting an AI agent work on your computer autonomously ✔️ Scheduled tasks: AI automation that runs every day ✔️ Claude Design for website design and Claude Code for building real websites and apps — no coding required 🔗 Links Mentioned in Video Claude signup: https://claude.ai Omnisend MCP server URL: https://mcp.omnisend.com/v2/mcp Deploy video: https://www.youtube.com/watch?v=S60kl9RfzDg Shopify guide: https://www.youtube.com/watch?v=wQGabloRalM $10K website video: https://www.youtube.com/watch?v=VMvZuhcDdnw 📍 Exclusive Deals & Discounts: https://meticsmedia.com/deals ⏱️ Timestamps 00:00 Intro: The 6 Levels of Claude 00:57 Level 1 — Talk To Claude 01:01 What Is Claude AI? 01:50 Create Your Free Claude Account 03:52 How to Write Good Prompts 07:18 Pick the Right Model 09:38 Level 2 — Give Claude Your World 09:42 Upload Files & Images 11:56 Web Search & Deep Research 16:39 Level 3 — Make Real Things 17:06 Create Documents, Spreadsheets & Web Pages 20:16 Level 4 — Make Claude Know You 20:20 Organize Your Work with Projects 22:20 Make Claude Remember You 25:29 Claude on Your Phone & Desktop 28:54 Level 5 — Connect Your Apps 29:05 Connect Claude to Your Apps 37:00 Install & Use Skills 39:47 Level 6 — Claude Works Without You 40:10 Let Claude Work While You're Away 43:46 Schedule Claude to Work Every Day 46:40 The Final Evolution: Claude Code 47:35 Design a Website with Claude Design 52:14 Build the Website with Claude Code 57:07 Build Your Own App with Claude Code 📄 Disclosure Some of the links are affiliate links. If you make a purchase through them, we earn a small commission at no extra cost to you. This helps us keep our videos free for everyone.

My FREE AI OS Course: https://www.skool.com/ai-automation-society/about?el=10-hour-course&hcategory=youtube-videos&utm_campaign=free-group Full courses + unlimited support: https://www.skool.com/ai-automation-society-plus/about?el=10-hour-course&hcategory=youtube-videos&utm_campaign=ais-plus Apply for my YT podcast: https://podcast.nateherk.com/apply Work with me: https://uppitai.com/ My Tools💻 FREE MONTH voice to text: https://get.glaido.com/nate Code NATEHERK for 10% off VPS (annual plan): https://www.hostinger.com/vps/claude-code-hosting This is the complete Claude Code course. Trust me, save this for later. I start from zero and walk you through everything: setup, building workflows, deploying websites, creating agent teams, browser automation, finding clients, pricing your work, and way more. To make it even better, we don’t ever write a single line of code. By the end, you'll know how to use Claude Code at a professional level and how to actually turn those skills into income. Whether you've never opened a terminal or you're looking to go deeper, this course covers it all in one place. Sponsorship Inquiries: 📧 nate@smoothmedia.co Connect with me: https://www.linkedin.com/in/nateherkelman/ https://x.com/nateherk https://www.instagram.com/nateherk/ TIMESTAMPS 00:00 Course Outline 01:14 Why Learn This 26:08 Getting Set Up 41:25 Operations 50:53 Tokens and Context Windows 55:10 Claude.md 58:57 Building Your First Workflow 1:25:05 Building Second Workflow 1:50:43 Deploying Automations 3:05:46 Project Architecture & Commands 3:17:39 RAG 3:32:59 Turning n8n Workflow into App 4:12:42 Website Building Hacks 4:40:07 3D Animated Websites 5:00:02 APIs and MCPs 5:28:16 Google CLI 5:39:42 Building Your Own Executive Assistant 6:08:03 Skills 6:51:30 Sub-agents 7:11:20 Agent Teams 7:27:30 Browser Automation 7:42:30 Permissions & Context Management 7:50:09 GitHub & Worktrees 7:56:45 Fun Hacks 8:25:06 The Selling AI Mindset 8:39:41 Finding Clients 8:54:01 First Client in 7 Days 9:14:56 Pricing AI Workflows 9:35:36 Delivering AI Projects 9:58:55 Thank You! Join AIS FREE

This complete Prompt Engineering Full Course is designed to take you from absolute beginner to advanced mastery. You’ll learn how to communicate with AI the right way and get high-quality, accurate, and powerful outputs from tools like ChatGPT and other generative AI systems. Download the Prompt Engineering Notes eBook here: https://www.theiscale.com/DataAnalytics/prompt-engineering-full-course-beginner-to-pro 🧠 In This Full Course You’ll Learn: ✔ What Prompt Engineering really is ✔ How AI models understand instructions ✔ Step-by-step prompting techniques ✔ Beginner to advanced prompt structures ✔ Real-world examples and use cases ✔ How to fix bad AI responses ✔ Frameworks for consistent, high-quality outputs ✔ Productivity, content creation & learning with AI Timestamp 00:00 Course Intro & Syllabus 03:15 The AI "Boss" Analogy 06:20 Module 1: LLM Foundations 06:30 Discriminative vs. Generative AI 08:39 AI Evolution: RNN, LSTM & Transformers 10:22 Attention Mechanism Explained 13:17 Tokens & Cost Analysis 16:29 Context Windows & Memory Limits 19:35 Module 2: Structured Prompting (RCTNO) 22:23 Lab: Marketing Content (ChatGPT) 24:45 Lab: Cold Emails for Internships 26:04 Lab: Big Data Analysis (Gemini) 28:46 Zero-Shot & Few-Shot Techniques 31:24 Chain of Thought (CoT) & Hallucinations 33:28 Logic Problem Lab (Math & Reasoning) 35:52 Module 3: Advanced Frameworks 35:52 ReAct (Reason + Act) Framework 38:43 Tree of Thoughts (ToT) Strategy 43:40 Directional Stimulus (Hinting) 46:27 Iterative Development (Image Gen Lab) 50:12 Module 4: Professional Automation 50:35 Data Extraction & Code Refactoring 51:58 RAG (Retrieval-Augmented Generation) 53:45 Lab: PDF Analysis (Perplexity) 55:20 ATS Resume Building 56:01 Lab: AI Slide Generation (NotebookLM) 57:02 Final Summary & Resources 🎯 After Completing This Course, You’ll Be Able To: • Write professional-level AI prompts • Get better results in less time • Use AI for work, study, and creativity • Think like a prompt engineer • Stay ahead in the AI-driven world ✨ Kickstart your career in a Data Analyst. Apply today! - https://www.theiscale.com/DataAnalytics/data-analyst-course-form ❇️ Explore our Job Oriented Courses: https://www.theiscale.com/explore-course ➖➖➖➖➖➖ 📱 For Any Further Query or Doubts? Contact- 7880-113-112 (Student Helpline Number) For any query connect in WhatsApp with us: https://wa.me/917880113112 ➖➖➖➖➖➖ ✳️ Join Telegram Channel- https://t.me/TheiScale ✳️ Join WhatsApp Channel- https://whatsapp.com/channel/0029VaB5ekEKQuJQV572vi2c ➖➖➖➖➖➖➖ 🔗 Download App Google Play : https://play.google.com/store/apps/details?id=com.logixhunt.ihhpet&pli=1

Hi, I’m Saumya, a Software Engineer with 5+ years of experience In this video, you will start your journey to learn AI from scratch with a complete step-by-step guide designed especially for beginners. This AI tutorial for beginners covers everything you need to begin your AI learning journey, whether you are looking for a AI course for beginners in English or a AI tutorial for beginners in Hindi. All Notes + AI Pocket Book + Certification : https://gsjqmh.courses.store/851148 [ Past issues in app is fixed so you will instantly get certificate in app after purchasing this AI KIT ] More free tutorial loading for my pyare subscribers ❤️ Org code : ✨ ✨ For 1:1 Career Guidance & Roadmap from @saumya1singh Di - https://topmate.io/saumya1singh Learn to Code faster with Scrimba : https://scrimba.com/?via=SaumyaSingh This Complete Free AI Course 2026 is structured like a practical Free AI crash course, making it easy to understand core concepts of AI programming in a short time. We’ll take you through a Complete AI Learning RoadMap (A to Z) so you can confidently go from zero to building real-world AI applications. Whether you are searching for learn AI, AI for beginners, AI from scratch, AI full course, complete AI course, complete AI course free, AI engineer roadmap, or a Free AI course, this video brings everything together in one place. You’ll also explore modern concepts like agentic AI and prompt engineering, helping you understand how AI systems work and how to use them for real-world problem solving and career growth. This AI course is perfect for students, aspiring developers, and anyone who wants to start AI from scratch and build a strong foundation in artificial intelligence. Don’t forget to like, share, and subscribe for more AI tutorials, AI programming guides, and complete courses! Notes:- Certificate Link :- ❤️ ❤️ Saumya Di’s First Book (A small gift for favourite subscribers ): https://store.bookleafpub.com/discount/MAY26?redirect=%2Fproducts%2F9788199612686 Discount code: MAY26 ✨ Join Broadcast Channel - https://www.whatsapp.com/channel/0029VbAnnzw6hENpACnPoq03 ✨Share your progress & learnings on✨ Instagram: https://www.instagram.com/saumya1singh/ Twitter: https://x.com/saumya1singh LinkedIn: https://www.linkedin.com/in/saumya1singh/ Youtube: https://www.youtube.com/@saumya1singh ✌🏻 FREE Agentic AI Course with Certificate ✌🏻 https://youtu.be/uYmIFc7gUyk?si=BoNr9U1fMlNt8fID ✌🏻 FREE Python Course with Certificate ✌🏻 https://www.youtube.com/playlist?list=PLTV_nsuD2lf7JOwZdSWuup-YO0AUaDQti ✌🏻 Free Android App Development Playlist | 30 Days of Coding Challenge ✌🏻 youtube.com/playlist?list=PLTV_nsuD2lf4UCTV6xwvNPvFdmCNKyhc8 🪴 Making you Successful & Aware. Comment "#SaumyaDi" if you read this ❤️😍 #aicourses #ai #freeaicourse #freecourses #completeaicourse #completeaicoursefree #aiengineerroadmap #aiforbeginners #aiforbeginners #ai #aicourse #aifromscratch #learnai #aitutorialforbeginners #aicrashcourse Keywords : [ learn AI, AI tutorial for beginners, Free AI crash course, Free AI course, AI course for beginners, AI course for beginners in English, AI tutorial for beginners in Hindi, complete AI course, AI programming, AI Tutorial For Beginners in Hindi, Complete AI Course, Complete AI Learning RoadMap (A to Z), AI for beginners, AI from scratch, AI full course, complete ai course, complete ai course free, ai engineer roadmap, ai for beginners, prompt engineering,how to learn prompt engineering,prompt engineering course,prompt engineering roadmap,prompt engineering 2026 complete crash course] 00:00:00 - Introduction 00:01:05 - What You Will Learn 00:02:40 - Advantages of Mastering AI 00:05:40 - What is AI and How It Actually Works? 00:14:38 - Evolution of AI 00:21:10 - AI Ecosystem & Infrastructure 00:25:50 - Important Understanding 00:26:30 - Types of AI Tools 00:30:18 - AI Family Tree 00:32:54 - Machine Learning 00:39:48 - Types of Machine Learning 00:43:50 - Summary of Machine Learning 00:44:17 - Deep Learning 00:45:28 - Neural Networks 00:50:55 - Natural Language Processing 00:52:50 - Computer Vision 00:54:04 - Generative AI 00:54:36 - Large Language Models (LLMs) 00:55:14 - AI Buzz Words Explanation 00:57:30 - Practical AI Tools Demos 01:10:53 - Career Opportunities in AI (Core Tech) 01:13:30 - Best Skills for Beginners & Certification Process 01:16:02 - Agentic AI 01:16:45 - Why AI Agents Were Needed 01:24:00 - AI Workflow 01:27:02 - AI Agent - The Solution 01:35:20 - Creating an AI Agent 01:49:15 - Summary of AI Agent 01:50:15 - AI Agent and its Environment 01:54:40 - How People are Earning from AI Agent? 01:55:30 - All About Prompt Engineering 02:04:42 - 5 Structures for Powerful Prompts 02:07:50 - Components of a Good Prompt 02:08:50 - Examples of Good Prompts 02:11:45 - Types of Prompts 02:13:30 - Common Prompting Mistakes and Troubleshooting 02:14:00 - Where to Apply for Prompt Engineering Roles? 02:15:35 - Conclusion

🔥 Join Maker School & get customer #1 guaranteed: https://skool.com/makerschool/about 💎 Check out my SaaS, Clairvo (we 2x your pickup rate): https://clairvo.io?s=nick ➡️ Get all AI agent course resources 100% free: https://skool.com/maker-zero/about If this is your first video: I'm Nick Saraev. I run LeftClick, an AI growth agency. We've done work for large brands you're likely familiar with, like Mr. Beast, Anthropic, OpenAI, and a few others. In plain English: I help people build systems that generate leads, close deals, and scale businesses, mostly using new AI models like Claude. I also make videos about how to do all of that here on YouTube. It hasn't always been this way. My family immigrated from a Soviet bloc country (People's Republic of Bulgaria) in the 90s. They worked extremely hard, and we were broke for a very long time. I grew up wishing for more security, stability, and freedom over my own life. I don't have a programming degree, and never took formal education for IT or workflows. I learned it all myself from YouTube videos like you're watching now. As for my path: I started my first business at 19 in college. We threw events (mostly parties) at campus bars, and charged people for entry. That failed to provide me enough money to pay my bills, so at 21, I started another business, a door-to-door marketing agency. From there, every year, I would start several companies, over 10 in total. I did this in a variety of industries, like e-commerce, photography, videography, SaaS, credit repair, etc. Each grew slightly more profitable, until, at 25, I would start 1SecondCopy, a content writing company. A friend and I eventually scaled that to over $90,000/m. It was my first taste of financial independence, and the reason I'm here today. Since starting my journey, I've grown a fair bit of capital. To diversify my income, at 30, I began investing in other businesses and advising companies on how to grow in the AI era. These include SaaS businesses, like Clairvo, agencies like Dental Connect, and more. Collectively, the businesses that I own outright or are a part of generate over $10 million per year. This returns far more than the 5-10% you would get in the stock market, but also requires a lot of my active time. There's a tradeoff there, but I greatly prefer active investing, where I have control over the entities I'm a part of. It wasn't easy to get here. But I did in the end! For anyone on their own entrepreneurial journey: I wish you luck, happiness, and perseverance. You can make it! Summary ⤵️ Hey, this is an end to end, extremely comprehensive course all about AI agents. It covers the three modern agentic AI tools: Codex, Claude Code, and Antigravity, and is agnostic to whichever you use. I will guide you through initial setup; workspace configuration; and then a variety of foundational to prompting techniques like self modifying agent instructions, multi agent MCP orchestration, video-to-action pipelines, agent chatrooms, subagent verification loops, prompt contracts, reverse prompting, and even more! By the end, you will have learned, no fluff, both foundational AI agent design and advanced prompt engineering both. You will also have mastered a bunch of key agentic AI principles, like context management and token usage optimization! Thanks and happy watching! My software, tools, & deals (some give me kickbacks—thank you!) 🚀 Instantly: https://link.nicksaraev.com/instantly-short 📧 Anymailfinder: https://link.nicksaraev.com/amf-short 🤖 Apify: https://console.apify.com/sign-up (30% off with code 30NICKSARAEV) 🧑🏽‍💻 n8n: https://n8n.partnerlinks.io/h372ujv8cw80 📈 Rize: https://link.nicksaraev.com/rize-short (25% off with promo code NICK) Chapters 00:00 Introduction to AI Agent Full Course 02:14 Multi-Agent Chrome MCP Workflow Demonstration 04:28 Core Agent Workflow 09:09 Understanding AI Agent Architecture 13:18 The Three Major AI Agent Platforms (Codex, Claude Code, Antigravity) 22:29 Platform-Specific Performance Insights 25:43 Self-Modifying System Prompts 34:57 Standardizing Workflows with Agent Skills 39:03 Multi-Agent Orchestration Strategies 47:20 Video-to-Action Pipeline 56:07 Implementing Stochastic Multi-Agent Consensus 1:04:44 Agent Suggestions Unveiled 1:05:08 Consensus Reports and Insights 1:06:05 Harnessing Multiple Agents 1:07:41 Agent Chat Rooms Explained 1:10:34 Debate and Collaboration Among Agents 1:13:25 Sub-Agent Verification Loops 1:17:32 The Mixture of Experts 1:20:56 Prompt Contracts Introduced 1:24:23 Crafting Effective Prompt Contracts 1:27:40 Reverse Prompting for Clarity 1:31:41 Context Management Strategies 1:37:34 Multi-Agent Chrome Automation 1:48:49 Understanding MCP Tools and Skills 1:53:34 Context Compression Techniques 1:59:19 Optimizing Token Usage 2:06:46 Cost-Efficient Multi-Agent Strategies 2:11:30 LLM Pricing Principles

Build a production-ready SaaS without writing code by hand. Architecture-first workflow, proper context management for AI agents, and a real app shipped with Next.js, Prisma, Postgres, TypeScript, and Tailwind. Clerk: https://jsm.dev/ghost-clerk Trigger.dev: https://jsm.dev/ghost-triggerdev Liveblocks: https://jsm.dev/ghost-liveblocks CodeRabbit: https://jsm.dev/ghost-coderabbit 💎Agentic Engineering Course: https://jsm.dev/ai 🎁 Video Kit (Code, Assets, Prompts): https://jsm.dev/ghost-kit 📘 Six-File Methodology: https://jsm.dev/ghost-context ➤ Links not working? Some regions may need a VPN. https://discord.com/invite/n6EdbFJ https://twitter.com/jsmasterypro https://instagram.com/javascriptmastery https://linkedin.com/company/javascriptmastery Business Inquiries: contact@jsmastery.pro Timestamps: 00:00:00 — Introduction 00:03:15 — Crash Course 00:14:31 — Project Setup 00:21:43 — Preparing Context 00:39:51 — UI Primitive Components 00:48:14 — Layout Setup 00:58:17 — Authentication 01:21:05 — Project Dialogues 01:31:00 — Prisma Setup 01:38:58 — Project CRUD APIs 01:51:18 — Editor: Access Sharing 02:04:02 — Editor: Liveblocks Canvas 02:23:54 — Editor: Canvas Features 02:46:19 — Avatar Feature, Chat Sidebar UI & Auto Save 03:05:01 — Trigger.dev Setup 03:15:32 — AI Architecture Design Generation Flow 03:39:21 — AI Spec Generation 03:50:28 — Deployment

Download Free Notes Here:- https://www.theiscale.com/DataAnalytics/a-i-full-course-free-master-ai-tools-core-concepts-notes 🚀 The wait is over! Welcome to the Complete Artificial Intelligence Course (Free) — your step-by-step guide to learning AI from scratch. In this beginner-friendly course, you’ll explore how Artificial Intelligence works, understand key AI concepts, and learn to use the latest AI tools like ChatGPT, Gemini, DeepSeek, NotebookLM, and AI Agents to build real-world projects. 📘 What You’ll Learn: . What is Artificial Intelligence & how it works . Machine Learning vs Deep Learning . AI Tools for productivity, content creation & coding . AI Agents & Automation basics . Real-world AI applications & projects . Future of AI and career opportunities Time Stamp 00:00 - Introduction 03:30 - AI Operators & AI Builders 07:00 - AI tools 07:02 - Note book LM 07:55 - Generating interview questions with AI 14:21 - Generating Social Media content 17:16 - Converting text data to video data 18:48 - Google Gemini 20:20 - Converting reports to insights 23:25 - Data Visualization through AI 27:48 - Using chat gpt as data analyst 30:54 - Data processing with AI 33:45 - Transforming data to graph 37:27 - Prompt writing technique for better output 41:50 - Manus AI 42:00 - Difference between Chat gpt and Manus AI 48:12 - Making Website through AI Agent 55:17 - Deepseek AI 58:39 - Deep Seek advantage over chat gpt 58:26 - Model training behind deepseek 01:11:02 - Deepseek for writing codes 01:11:42 - Introduction to Generative & Agentic AI 01:13:48 - Generative AI growth in tech 01:15:20 - Prompt engineering in Gen AI 01:20:48 - Limitations of Gen AI 01:21:02 - Agentic AI 01:24:00 - Automation and Autonomous Workflows 01:25:22 - Agentic AI Systems 01:27:42 - chat gpt vs world's first AI agent Manus 01:32:30 - LLM, AI Workflows & AI Agents 01:36:24 - LLM Model Training 01:37:44 - Introduction to AI Workflow 01:42:08 - Architecture of AI Agents 01:58:41 - Working of AI workflows 02:00:14 - Types of AI Agent 02:01:08 - Single AI Agent 02:04:35 - Multi AI Agent 02:06:10 - Sequential Pattern 02:08:40 - Hierarchical Pattern 02:11:35 - Hybrid Pattern 02:12:32 - Parallel Pattern 02:13:19 - Asynchronous Pattern 02:14:25 - Types of AI Agents 02:15:27 - Simple Reflex AI Agent 02:16:36 - Model Based Reflex AI Agent 02:17:24 - Goal Based AI Agent 02:19:19 - Utility Based AI Agent 02:22:13 - Learning Based AI Agent 02:26:05 - Coding Assistant Agent: 02:27:15 - E-commerce and Product Research AI 02:28:49 - Healthcare Assistant 02:30:21 - Agentic applications 02:31:00 - Final Project for Building AI Agent for free 02:51:56 - Conclusion of AI course 🧠 Who This Course is For: . Complete beginners who want to start with AI . Students & professionals exploring new career paths . Content creators, coders & entrepreneurs 🎯 Whether you want to build your first AI project or understand how AI tools can boost your career — this free course is your ultimate starting point! ✨ Kickstart your career in a Data Analyst. Apply today! - https://www.theiscale.com/DataAnalytics/data-analyst-course-form ❇️ Explore our Job Oriented Courses: https://www.theiscale.com/explore-course ➖➖➖➖➖➖ 📱 For Any Further Query or Doubts? Contact- 7880-113-112 (Student Helpline Number) For any query connect in WhatsApp with us: https://wa.me/917880113112 ➖➖➖➖➖➖ ✳️ Join Telegram Channel- https://t.me/TheiScale ✳️ Join WhatsApp Channel- https://whatsapp.com/channel/0029VaB5ekEKQuJQV572vi2c ➖➖➖➖➖➖➖ 🔗 Download App Google Play : https://play.google.com/store/apps/details?id=com.logixhunt.ihhpet&pli=1

🔥 Join Maker School & get customer #1 guaranteed: https://skool.com/makerschool/about 📁 Get all Claude course resources 100% free: https://skool.com/maker-zero/about ➡️ If this is your first video: I'm Nick Saraev. I run LeftClick, an AI growth agency. We've done work for large brands you're likely familiar with, like Mr. Beast, Anthropic, OpenAI, and a few others. In plain English: I help people build systems that generate leads, close deals, and scale businesses, mostly using new AI models like Claude. I also make videos about how to do all of that here on YouTube. It hasn't always been this way. My family immigrated from a Soviet bloc country (People's Republic of Bulgaria) in the 90s. They worked extremely hard, and we were broke for a very long time. I grew up wishing for more security, stability, and freedom over my own life. I don't have a programming degree, and never took formal education for IT or workflows. I learned it all myself from YouTube videos like you're watching now. As for my path: I started my first business at 19 in college. We threw events (mostly parties) at campus bars, and charged people for entry. That failed to provide me enough money to pay my bills, so at 21, I started another business, a door-to-door marketing agency. From there, every year, I would start several companies, over 10 in total. I did this in a variety of industries, like e-commerce, photography, videography, SaaS, credit repair, etc. Each grew slightly more profitable, until, at 25, I would start 1SecondCopy, a content writing company. A friend and I eventually scaled that to over $90,000/m. It was my first taste of financial independence, and the reason I'm here today. Since starting my journey, I've grown a fair bit of capital. To diversify my income, at 30, I began investing in other businesses and advising companies on how to grow in the AI era. These include SaaS businesses, like Clairvo, agencies like Dental Connect, and more. Collectively, the businesses that I own outright or are a part of generate over $10 million per year. This returns far more than the 5-10% you would get in the stock market, but also requires a lot of my active time. There's a tradeoff there, but I greatly prefer active investing, where I have control over the entities I'm a part of. It wasn't easy to get here. But I did in the end! For anyone on their own entrepreneurial journey: I wish you luck, happiness, and perseverance. You can make it! Summary ⤵️ The end-to-end, definitive course on Claude Code for beginners! I'll take you through a full four-hour masterclass where I start by teaching you how to set up and install Claude Code in a tutorial, how to configure your IDE or integrated development environment (we'll use Antigravity), how to utilize your CLAUDE.md file as your project brain, how to build your first project in Antigravity using Claude Code in under 15 minutes, advanced Claude Code functionality including hooks, slash commands, and more. I also teach you how to spin up multiple Claude Code instances and have them work on your behalf; how to parallelize work using sub-agents; how to use Git work trees to accomplish many hours of work in just a few minutes; how to conserve tokens and use context management to crush your coding and software projects; how to deploy things to the cloud using Modal and related services, and in general... how to be awesome at Claude Code! Hope you enjoy the tutorial. Chapters 00:00:00 Introduction to the Claude Code Tutorial 00:01:07 Learning the Basics of Claude Code 00:03:44 Setting Up Claude Code 00:08:05 Terminal vs. Graphical User Interface 00:12:23 Understanding IDEs 00:13:53 Exploring Visual Studio Code 00:19:11 Getting Started with Antigravity 00:24:01 Building Your First Web App with Claude Code 00:30:29 Utilizing the CLAUDE.md File (Project Brain) 00:34:40 Approaches to Website Design in CC +Antigravity 00:41:47 Importance of Verification in AI 00:54:42 Advanced Claude Code Functionality 00:55:13 Understanding the .claude Directory 02:01:24 Adjusting the Proposal Design 02:01:55 Testing Payment Functionality 02:05:20 Leveraging GitHub for Project Management 02:06:12 Setting Up the Project 02:07:50 The Power of Automation 02:13:53 Context Management Explained 02:19:56 Understanding MCP Tools 02:27:23 Strategies for Token Management 02:35:29 Creating Skills for Efficiency 02:41:15 The Structure of Skills 02:44:39 Building a New Skill 02:50:58 Introduction to Model Context Protocol 02:58:15 Evaluating Token Usage in MCPs 03:09:07 Exploring Claude Code Plugins 03:11:08 Introduction to Sub-Agents 03:12:15 Transforming Skills into Sub-Agents 03:14:14 Scaling Email Classification 03:18:54 Creating Useful Sub-Agents 03:26:27 Understanding Agent Teams 03:32:59 Enabling and Using Agent Teams 04:02:34 Utilizing Git Worktrees 04:03:08 Deploying APIs with Modal

In this video, you will learn how to build a full Duolingo clone in React Native using a workflow called Practical Vibe Coding. AI has turned months of work into a single weekend; allowing you to ship a real apps without writing a single line of code. The app isn't the point; the workflow is. Let’s go. Stream: https://jsm.dev/lingua-stream Vision Agents: https://jsm.dev/lingua-vision Clerk: https://jsm.dev/lingua-clerk PostHog: https://jsm.dev/lingua-posthog CodeRabbit: https://jsm.dev/lingua-coderabbit 💎Agentic Engineering Course: https://jsm.dev/ai 📘 Practical Vibe Coding Guide: https://jsm.dev/lingua-ebook 🎁 Video Kit (Code, Assets, Prompts): https://jsm.dev/lingua-kit 🤖 Android Studio/Windows Guide: https://jsm.dev/lingua-android ➤ Links not working? Some regions may need a VPN. https://discord.com/invite/n6EdbFJ https://twitter.com/jsmasterypro https://instagram.com/javascriptmastery https://linkedin.com/company/javascriptmastery Business Inquiries: contact@jsmastery.pro Timestamps: 00:00:00 — Introduction 00:03:07 — Crash Course - AGENTS.md 00:15:13 — Crash Course - When the AI’s Knowledge Ends 00:23:47 — Setup 00:28:37 — AGENTS.md Setup 00:38:01 — Nativewind Setup 00:47:13 — Design Theme 00:58:26 — Onboarding Screen 01:08:58 — Auth Screen 01:15:45 — Clerk 01:27:04 — Content 01:33:27 — Language Screen 01:39:01 — State Management 01:45:16 — Bottom Tab Navigation 01:51:30 — Home UI 02:00:23 — PostHog 02:14:57 — Lesson UI 02:19:55 — Audio Lesson UI 02:25:25 — Stream 02:28:17 — XCode & Android Studio Setup 02:39:35 — Stream Integration 02:47:51 — Vision Agent 02:53:45 — AI Teacher 03:04:56 — AI Teacher Improvements 03:15:29 — Live Captions 03:28:58 — More PostHog 03:38:05 — End

Master the future of process automation. n8n is an incredibly powerful, open-source platform that enables you to integrate APIs and orchestrate intelligent workflows without the usual coding headaches. This course from Marconi will guide you from the foundational concepts of nodes and architecture to deploying advanced, real-world systems. You'll master essential skills like connecting various services, configuring API keys, and handling complex data flows. Also the course goes into cutting-edge AI integration, teaching you how to build advanced Retrieval-Augmented Generation (RAG) agents and coordinate multi-agent systems. By the end, you'll be able to automate sophisticated business processes, giving you a competitive edge in DevOps, AI, and data engineering. Hands-on Labs & Course Description: https://kode.wiki/47aGYzZ Course developed by @KodeKloud. ❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp ⭐️ Chapters ⭐️ - 0:00:00 Introduction and Course Overview - 0:04:50 Foundations of n8n: Nodes, Architecture, and Data Types - 0:12:48 Building Your First AI Agent Workflow (Chatbot/Email Agent Demo) - 0:38:20 Free Labs Access and CodeCloud Keyspace API Setup - 0:45:06 n8n Cloud vs. Lab Playground Differences (API/Google Auth Setup) - 0:54:09 Authentication Best Practices for HTTP Request Node - 0:56:15 Google Drive/Sheets/Docs Authentication Setup via Google Cloud Console - 1:41:48 Slack API Setup and Integration - 1:48:06 "HTTP Request Node and API Call Scenarios (Cat Facts, Weather, Web Scraper)" - 2:03:40 Text-to-Image Workflow with AI Prompt Generation - 2:15:06 Text-to-Video Workflow with AI Prompt Generation - 2:25:12 Image-to-Video Workflow with Google Drive and Telegram Integration - 2:43:10 Vertex AI (Google's V3) Integration for Text-to-Video - 2:54:14 n8n Cloud vs. Self-Hosted n8n (Docker/AWS EC2) - 2:56:03 Multi-Workflow Orchestration with Subworkflows - 3:22:40 Course Conclusion and Next Steps 🎉 Thanks to our Champion and Sponsor supporters: 👾 Drake Milly 👾 Ulises Moralez 👾 Goddard Tan 👾 David MG 👾 Matthew Springman 👾 Claudio 👾 Oscar R. 👾 jedi-or-sith 👾 Nattira Maneerat 👾 Justin Hual -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

SpaceXAI recently acquired Cursor for $60 Billion. In this complete course I will teach you Cursor from start to finish, ensuring mastery. I will cover every single Cursor feature, and build multiple applications with Cursor in this course. Throughout the course, I've used the Grok 4.5 model, which was released jointly by Cursor and SpaceXAI. I walk you through this full masterclass where I start by talking to you about how Cursor came to be and how to start using Cursor. I then teach you about the Cursor interface and some cool features in Cursor. I teach you how to build apps from scratch using Cursor, and I also talk about Github, Vercel, Native Browser, Design Mode, Skills, MCP, Plugins, and how to make money with Cursor. Hope this course provides value! Timestamps: 00:00 Introduction to the Cursor Course 00:55 Understanding Cursor 02:36 Cursor Pricing 03:45 Learning about the Cursor Interface 05:31 Modes in Cursor 06:47 Prompt Box 07:31 Building your First Application 13:58 Iterating on the First App 17:47 Native Browser in Cursor 19:24 Design Mode in Cursor 24:08 Grok 4.5 26:56 Rules in Cursor 28:44 Context Window Explained 29:59 Tokenomics in Cursor 31:09 Model Routing 32:49 Prompt for the Second App 35:44 Plan Mode 42:12 Reviewing the Application 45:56 Ask Mode 48:26 Testing the Final Version 50:17 Github 55:26 Deploying with Vercel 57:22 Agent Skills in Cursor 1:07:17 MCP and Plugins 1:11:44 Subagents in Cursor 1:13:17 Revising Plugins 1:13:56 Dictation 1:15:41 Prompting Tips 1:18:42 Debugging Tips 1:22:27 Multitask and Parallel Agents 1:26:08 Usage Check 1:26:28 How to Make Money with Cursor 1:31:19 Thank You

This is a complete course on learning Generative ai and agentic with Langchain and Langgraph. We have included all the topics from RAG, vectorless rag, Deep agents, Guardrails, LLM Evaluation and LLM Gateways Techniques Github Links Langchain : https://github.com/krishnaik06/Langchain-V1-Crash-Course Langgraph: https://github.com/krishnaik06/Agentic-LanggraphCrash-course RAG: https://github.com/krishnaik06/RAG-Tutorials Vectorless RAG: https://github.com/krishnaik06/RAG-Tutorials/blob/main/PageIndex_Vectorless_RAG_CrashCourse%20(1).ipynb Deep Agents: https://drive.google.com/file/d/1SVjvgqvKfF-FPAIqpEZdKMQLhe13NLFD/view Guardrails : https://github.com/krishnaik06/Langchain-V1-Crash-Course/blob/main/updatedlangchain/langchain_guardrails_crash_course.ipynb LLM Evals : https://github.com/krishnaik06/RAG-Tutorials/blob/main/1-rag_evaluation.ipynb LLM Gateways: https://github.com/krishnaik06/Langchain-V1-Crash-Course/blob/main/llm_gateway_tutorial.ipynb Timestamp 00:00:00 Introduction 00:02:31 Langchain Course 02:35:12 Langraph Course 05:02:29 RAG Course 07:10:43 Vectorless RAG 08:02:11 Deep Agents 08:45:43 Guardrails 09:22:55 LLM Evaluation 10:30:25 LLM Gateways ------------------------------------------------------------------- Learn from us visit https://krishnaik.in/liveclasses

A hands-on workshop covering the full lifecycle of AI-assisted development, from turning ambiguous requirements into agent-ready plans to running autonomous coding agents that ship production features. You'll learn to stress-test vague briefs into structured PRDs, slice work into thin "tracer bullet" vertical slices, and run an AI agent with TDD. You'll watch it select tasks, write tests, implement code, and commit. You'll then refine your prompts based on where it struggles, graduate to fully autonomous (AFK) runs, and learn to design codebases that maximize agent effectiveness. You'll walk away knowing how to: - Turn ambiguous requirements into agent-ready issues - Slice work into vertical tracer bullets an agent can grab independently - Run AI agents human-in-the-loop and autonomously with TDD - Design codebase architectures that AI agents love to work in For: Engineers ready to move beyond chat-based AI assistance and build a real workflow for shipping features with autonomous coding agents. Speaker info: - https://x.com/mattpocockuk - https://www.linkedin.com/in/mapocock/ - https://youtube.com/@mattpocockuk Timestamps: 00:00:00 - Introduction 00:00:14 - The Thesis of AI Engineering 00:04:20 - Phase 1: Research & Prototyping 00:12:45 - Phase 2: The Grill Session 00:22:10 - Phase 3: Writing the PRD 00:35:50 - Phase 4: Slicing Work into Issues 00:48:15 - Phase 5: Implementation with AI Agents 01:05:30 - Phase 6: Human-in-the-Loop Review 01:18:45 - Phase 7: Deployment & Monitoring 01:28:10 - Designing Codebases for AI Effectiveness 01:34:06 - Final Takeaways & Summary --- Watch along with the corrected transcript, summary, timestamps and resources on this talk's official AIE page: https://ai.engineer/talks/-QFHIoCo-Ko-ai-coding-workflow Join our upcoming AI Engineer conferences (see https://ai.engineer landing page): - AIE New York, October 12–14 — the first AI Engineer Finance mainstage summit - AIEi Shanghai, November 5–6 — the first for meeting top Chinese labs and engineers - AIE CODE in SF, November 10–12 — the top AI Coding conference returns - AIEi Sydney, December 7–8 — the first AIEi run alongside NeurIPS 2026 in Sydney ---

Learn all about Claude Code. This is the ultimate guide to turning Anthropic’s Claude into a seamless part of your development workflow. Whether you're scaffolding a brand-new project or navigating a complex, multi-file codebase, this is how you code faster without sacrificing quality. 🔗 IMPORTANT LINKS 🔬 Practice with Hands-On Labs: https://kode.wiki/claude-code 🎓 Get the Full Course here: https://kode.wiki/claude-code-course ❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp ⭐️ Contents ⭐️ 0:00:00 Introduction 0:00:30 Prerequisites and Initial Setup 0:09:25 Start your first session 0:23:58 Understanding Codebases with Claude 0:32:21 Installing Claude on Ubuntu Virtual Machines 0:49:34 Building a project from scratch 0:49:34 Getting project ready for public release 0:56:49 Creating Unit Tests for our Project 1:03:20 Autonomous Task Completion 1:17:11 Environment and Configuration Management 1:30:17 Managing Long Sessions Effectively 2:07:52 Writing Effective Development Prompts 2:23:39 Multi-file Project Navigation 2:32:10 Working with APIs and External Services 2:46:16 Initial Project Analysis 2:56:24 Design Pattern Implementation Review 3:05:50 SOLID Principles Evaluation 3:24:04 Error Handling & Resilience Audit 3:36:04 Exception Flow Analysis 3:52:12 Resilience & Fault Tolerance 3:53:09 Code Quality Metrics & Standards 4:02:17 Code Duplication Detection 4:12:14 Naming Conventions & Readability 4:19:23 Test Coverage & Quality Analysis 🎉 Thanks to our Champion and Sponsor supporters: 👾 @omerhattapoglu1158 👾 @goddardtan 👾 @akihayashi6629 👾 @kikilogsin 👾 @anthonycampbell2148 👾 @tobymiller7790 👾 @rajibdassharma497 👾 @CloudVirtualizationEnthusiast 👾 @adilsoncarlosvianacarlos 👾 @martinmacchia1564 👾 @ulisesmoralez4160 👾 @_Oscar_ 👾 @jedi-or-sith2728 👾 @justinhual1290 -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news

The Ash ecosystem now includes an OAuth 2 server, MCP, and Lua. When combined, they make it easy to securely and efficiently expose an existing Ash application to AI agents! Links Screen recording software I use (affiliate): https://screen.studio/@Yy75o Demo repository: https://github.com/ChristianAlexander/amber Changes from the video: https://github.com/ChristianAlexander/amber/pull/1 Ash OAuth server: https://ash-authentication-oauth2-server.hexdocs.pm Ash Lua: https://ash-lua.hexdocs.pm Elixir Lua package: https://lua.hexdocs.pm Timestamps Some context - 00:00 App demo - 01:02 OAuth 2 server - 03:38 MCP server - 06:52 Public / private fields - 11:11 Permission filtering - 12:37 Code mode - 14:47