FULL Claude Tutorial For Beginners in 2026! (FULL COURSE)

🔥 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

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

Claude Code Tutorial: Beginner to Advanced in 20 Minutes. Join our FREE community with free prompts & guides: https://www.skool.com/ai-launchpad/about Chapters: 0:00 - Intro 1:10 - What is Claude & Setup 3:54 - Plan mode & prompting 6:18 - First results & Iteration 8:18 - Claude.md & MCP 12:12 - Context management & extended thinking 16:10 - Deploy your builds 17:07 - Skills & Hooks & Routines 18:39 - Outro For business inquiries including sponsorships and collaborations, please email: business@zinhomedia.com

An overview and starting point for Claude Code. Want to learn more about coding with AI? Check out my course: https://www.traversymedia.com/coding-with-ai Get the Neon free plan: https://get.neon.com/6uuwMG3 Follow Neon to not miss course giveaways: - X/Twitter: https://x.com/neondatabase - Linkedin: https://www.linkedin.com/company/neondatabase Github Gist With Prompts: https://gist.github.com/bradtraversy/9937e0ecfc8a5b269ce6a885636670dc Crypto Dash Repo: https://github.com/bradtraversy/crypto-dash Timestamps: 0:00 - intro 2:23 - What Is Claude Code 3:56 - Installing Claude 6:43 - First Launch 7:26 - Models & Usage Limits 10:44 - Effort 11:14 - Using Claude In VS Code 12:16 - The First Prompt 16:10 - Shell Mode 17:30 - Modes 19:15 - Settings & Permissions 22:55 - VS Code Extension 24:05 - Refactoring Code 27:03 - Context, Tokens & Clearing 29:20 - Global Sessions 33:14 - Working on an Existing Project 35:48 - Claude.md File & /init 39:28 - Plan Mode 44:58 - Adding Favorites Feature 48:05 - Skills 53:27 - MCPs 57:51 - Sub-Agents

Welcome to the Claude Code Playlist — your practical guide to building with Claude Code, even if you're not a developer. In this playlist, you'll learn how to use Claude Code effectively, avoid common mistakes, and build faster using real workflows, planning, agents, hooks, skills, plugins, checkpoints, and review mode. 📌 What you'll learn: • How to set up and use Claude Code • Best practices for non-coders & beginners • Plan mode (Shift + Tab) to avoid bad code early • Skills, Hooks, Agents & Plugins explained simply • Checkpoints & rewind (smart Ctrl+Z) • Review mode to catch mistakes before finishing • CLAUDE.md best practices & context management • Git workflow with Claude Code • Real-world prompts and workflows that actually work 💡 This playlist focuses on practical usage, not theory — helping you collaborate with Claude like a smart coding teammate. Whether you're a beginner, founder, non-coder, indie hacker, or developer, this playlist will help you get more out of Claude Code. 🔔 New videos added regularly — subscribe and follow along. #ClaudeCode #ClaudeAI #AIcoding #CodingAssistant #Anthropic #AIAgents #BuildWithAI #NoCode #VibeCoding

Learn to use Anthropic's Claude Agent SDK (formerly Claude Code SDK) for AI-powered development workflows! https://platform.claude.com/docs/en/agent-sdk/overview https://x.com/trq212 **AI Summary** This workshop by Thariq Shihipar (Anthropic) details the architecture and implementation of the **Claude Agent SDK**. The session moves from high-level theory—defining "agents" as autonomous systems that manage their own context and trajectory—to a live-coding demonstration. Shihipar builds an agent "Harness" from scratch, implementing the core **Agent Loop** (Context Thought Action Observation), integrating the **Bash tool** for general computer use, and demonstrating **Context Engineering** via the file system to maintain state across long tasks. **Timestamps** 00:00 Introduction: Agenda and the "Agent" definition 05:15 The "Harness" concept: Tools, Prompts, and Skills 10:10 Live Coding Setup: Initializing the Agent class and environment 15:45 implementing the "Think" step: Getting the model to reason before acting 25:20 The Agent Loop: connecting `act`, `observe`, and `loop` 33:10 Tool Execution: Handling XML parsing and tool inputs 42:00 The "Bash" Tool: Giving the agent command line access 49:30 Safety & Permissions: "ReadOnly" vs "ReadWrite" file access 58:15 Context Engineering: Using `ls` and `cat` to build dynamic context 01:05:00 The "Monitor": Viewing the agent's thought process in real-time 01:12:45 Handling "Stuck" States: Feedback loops and error correction 01:21:20 Multi-turn Complex Tasks: Building a "Research Agent" demo 01:35:10 Refactoring patterns: "Hooks" and deterministic overrides 01:48:39 Q&A: Reproducibility, helper scripts, and non-determinism 01:50:31 Q&A: Strategies for massive codebases (50M+ lines) 01:52:00 Closing remarks and future SDK roadmap * **Evolution of AI Capabilities:** Shihipar argues we are shifting from **LLM Features** (categorization, single turn) to **Workflows** (structured, multi-step chains like RAG) to **Agents**. He defines agents as systems that *"build their own context, decide their own trajectories, and work very autonomously"* rather than following a rigid pipeline. * **The Claude Agent SDK Architecture:** The SDK is built directly on top of **Claude Code** because Anthropic found they were *"rebuilding the same parts over and over again"* for internal tools. * **The Harness:** A robust agent requires more than just a model; it needs a "Harness" containing Tools, Prompts, a **File System**, Skills, Sub-agents, and Memory. * **Opinionated Design:** The SDK bakes in lessons from deploying Claude Code, specifically the "opinion" that general computer use (Bash) is often superior to bespoke tools. * **The Power of the Bash Tool:** A key technical insight is that the **Bash tool** is often the most powerful tool for an agent. Instead of building custom tools for every action (e.g., a specific API wrapper for a file conversion), giving the agent access to the shell allows it to use existing software (like `ffmpeg`, `grep`, or `git`) to solve problems flexibly, similar to how a human developer works. * **Context Engineering:** Shihipar introduces the concept of **Context Engineering** via the file system. Instead of just "Prompt Engineering," the agent uses the file system to manage its state and context. * **Files as Memory:** The agent can write to files to "remember" things or create its own documentation (e.g., `CLAUDE.md`) to ground future actions. * **Verification:** The file system serves as a ground truth for the agent to verify its work (e.g., checking if a file was actually created). * **The Agent Loop & Intuition:** Building a successful agent loop is described as *"kind of an art or intuition"*. The loop generally follows a **Gather Context Take Action Verify Work** cycle. Shihipar emphasizes that this loop allows the agent to self-correct, a capability missing from rigid workflows. * **Strategies for Determinism (Hooks):** During the Q&A, a technique for controlling agent behavior is discussed: **Hooks**. * If an agent hallucinates or skips a step (e.g., guessing a Pokemon stat instead of checking a script), a hook can intercept the response and inject feedback: *"Please make sure you write a script, please make sure you read this data."* * This enforces rules like "read before you write" without retraining the model. * **Scaling to Large Codebases:** For massive codebases (50M+ lines), standard tools like `grep` or basic context window stuffing fail. * **Semantic Search Limitations:** Shihipar notes that while semantic search is a common solution, it is *"brittle"* because the model isn't trained on the specific semantic index. * **Solution:** He recommends good **"Claude MD"** files (context files) and starting the agent in a specific subdirectory to limit scope, rather than trying to index the entire 50M lines at once.