Free AI Builder Courses: Claude Code, MCP & AI Agents

A full set of free AI builder courses. No signup, no paywall. These are the same workflows we use to ship real products with AI, written up so you can copy them step by step.

Start with Claude Code basics, then go deep on MCP and building AI agents from scratch. Every lesson ships working code, not theory. Pick a track and start building.

1Getting Started

1.1	Video	Everything You Need to Ship with Claude Code	The complete Claude Code reference - install, configure, master.
1.2	📋	Install, Configure, and Ship Your First Feature	Install Claude Code, run your first terminal session, understand the basics.
1.3	📘	The CLAUDE.md Guide: Configure for Any Project	Project config, memory, custom instructions with CLAUDE.md.
1.4	📘	Karpathy's CLAUDE.md Rules	Karpathy's real CLAUDE.md config - what he actually uses.
1.5	Video	.agent Folder: Context Engineering	Context engineering with a structured .agent documentation system. Shared lesson with the AI Agents course.

2Workflows & Techniques

2.1	📘	10 Prompting Patterns That Actually Work	Prompting patterns that consistently get better results.
2.2	📘	Agent Hooks: Rules Your AI Can't Ignore	Lifecycle events, matchers, and 7 copy-paste hook recipes.
2.3	Video	SubAgent: Context Isolation	3x output with parallel task delegation and clean context.
2.4	Video	Agent Teams: Run an AI Project Group	Team lead, teammates, shared tasks, and direct messaging.
2.5	Video	The Sidekick Paradigm: Orchestrator-Worker AgentsNEW	Strong model plans, cheap model executes - cut AI coding cost ~80% without losing quality.
2.6	📘	Dynamic Workflows: Orchestrate Subagents at Scale	Move the loop into a script - run up to 1,000 subagents without flooding context.
2.7	📘	Worktree: File Isolation for Parallel Agents	Give every agent its own directory - no more write conflicts.
2.8	📘	TodoWrite vs Task: Agent Task Management	Session checklists vs persistent task graphs - when to use which.
2.9	Video	/goals Command: Tips & Mistakes	Goal-driven agent sessions - tips and mistakes. Shared lesson with the AI Coding Tools course.
2.10	📘	Run Parallel Sessions Like Karpathy	Run parallel Claude Code sessions for maximum throughput.
2.11	📘	Cut API Costs 73% (7 Strategies)	7 strategies to cut API costs without sacrificing quality.
2.12	📘	Official Plugin Library + SKILL.md	Official Anthropic plugin library and SKILL.md auto-loading.
2.13	📘	SKILL.md Auto-Loading (No Marketplace)	Drop a SKILL.md and Claude Code auto-loads it.
2.14	Video	Anthropic's 300+ Skills Playbook	Anthropic's internal playbook for building reliable Skills.
2.15	📘	Sam Altman's Skills Framework for Codex	Most agent failures are context problems, not model problems.
2.16	Video	Connect MCP Servers to Claude Code	Extend Claude Code with custom tools via MCP. Shared lesson with the AI Agents course.

1Getting Started

1.1

VideoEverything You Need to Ship with Claude Code

The complete Claude Code reference - install, configure, master.

1.2

Install, Configure, and Ship Your First Feature

Install Claude Code, run your first terminal session, understand the basics.

1.3

The CLAUDE.md Guide: Configure for Any Project

Project config, memory, custom instructions with CLAUDE.md.

1.4

Karpathy's CLAUDE.md Rules

Karpathy's real CLAUDE.md config - what he actually uses.

1.5

Video.agent Folder: Context Engineering

Context engineering with a structured .agent documentation system. Shared lesson with the AI Agents course.

2Workflows & Techniques

2.1

10 Prompting Patterns That Actually Work

Prompting patterns that consistently get better results.

2.2

Agent Hooks: Rules Your AI Can't Ignore

Lifecycle events, matchers, and 7 copy-paste hook recipes.

2.3

VideoSubAgent: Context Isolation

3x output with parallel task delegation and clean context.

2.4

VideoAgent Teams: Run an AI Project Group

Team lead, teammates, shared tasks, and direct messaging.

2.5

VideoThe Sidekick Paradigm: Orchestrator-Worker AgentsNEW

Strong model plans, cheap model executes - cut AI coding cost ~80% without losing quality.

2.6

Dynamic Workflows: Orchestrate Subagents at Scale

Move the loop into a script - run up to 1,000 subagents without flooding context.

2.7

Worktree: File Isolation for Parallel Agents

Give every agent its own directory - no more write conflicts.

2.8

TodoWrite vs Task: Agent Task Management

Session checklists vs persistent task graphs - when to use which.

2.9

Video/goals Command: Tips & Mistakes

Goal-driven agent sessions - tips and mistakes. Shared lesson with the AI Coding Tools course.

2.10

Run Parallel Sessions Like Karpathy

Run parallel Claude Code sessions for maximum throughput.

2.11

Cut API Costs 73% (7 Strategies)

7 strategies to cut API costs without sacrificing quality.

2.12

Official Plugin Library + SKILL.md

Official Anthropic plugin library and SKILL.md auto-loading.

2.13

SKILL.md Auto-Loading (No Marketplace)

Drop a SKILL.md and Claude Code auto-loads it.

2.14

VideoAnthropic's 300+ Skills Playbook

Anthropic's internal playbook for building reliable Skills.

2.15

Sam Altman's Skills Framework for Codex

Most agent failures are context problems, not model problems.

2.16

VideoConnect MCP Servers to Claude Code

Extend Claude Code with custom tools via MCP. Shared lesson with the AI Agents course.

More Resources

Comparisons, role guides, tool reviews, and builder stories.

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1.1	Video	AI Agents: The Complete 2026 Roadmap	Complete guide to building, deploying, and scaling AI agents.
1.2	📋	What Is an AI Agent?	What an AI agent is - planning, memory, tools, action.
1.3	Video	Function Calling: How LLMs Use Tools	The menu-order-serve mechanism behind every agent action.
1.4	📋	Give Your Agent Tools (Function Calling)	Give your agent real tools - function calling and MCP.
1.5	📋	Agent Memory: Short-term and Long-term	Agent memory - short-term, long-term, and retrieval.
1.6	Video	Memory Systems: Episodic, Semantic, Procedural	The 3 memory types, storage layers, and MemGPT vs Mem0 vs Claude Code.
1.7	📋	Multi-Agent Systems: Orchestration	Multi-agent systems - orchestration and delegation.
1.8	📋	Deploy Agents to Production	Deploy agents to production - reliability and monitoring.
1.9	📘	Karpathy's Agentic Engineering Framework	Karpathy's framework for serious AI builders.
1.10	📘	Karpathy's agents.md: 4 Rules	What Karpathy's agents.md would look like - four rules for production agents.
1.11	📘	Software 3.0: Context Window = Program	The paradigm shift from traditional software to AI-native code.
1.12	📘	Karpathy's LLM Wiki Pattern	Build a personal knowledge base that compounds.

3.1	Video	MCP 101: Build Your First Server	Build your first MCP server from zero.
3.2	📘	MCP Internals: Client-Server Communication	STDIO vs SSE, JSON-RPC, and the full 6-step interaction loop.
3.3	📘	MCP Security: 6 Attack Vectors	Tool poisoning, exfiltration, rug pulls - and the 5-step audit.
3.4	Video	Why MCP is Dead & Skills Replace It	Where Skills replace MCP servers - and where they don't. Shared lesson with the Claude Code course.
3.5	Video	WebMCP: Agents on WebsitesNEW	How websites expose structured tools to in-browser agents.
3.6	Video	Context Engineering: The Real Bottleneck	4 strategies, 4 failure modes, and KV-cache economics.
3.7	📘	RAG vs Long Context vs Fine-Tuning	When each wins, the modern pipeline, and agentic retrieval.
3.8	📘	agentmemory: Fix Memory Loss (30 sec)	Fix agent memory loss in 30 seconds with agentmemory.
3.9	📋	Prompt Engineering Techniques (2026)	The prompting techniques that actually move the needle in 2026.
3.10	📘	MarkItDown: PDF to Markdown for RAG	Convert PDFs, DOCX, HTML to clean Markdown for RAG pipelines.
3.11	📘	google/skills: Official Agent Skills Library	Google's official Agent Skills for BigQuery, Cloud Run, GKE, Firebase.
3.12	📘	last30days: Real-Time Research Skill	Real-time research across Reddit, X, YouTube, HN.
3.13	Video	Codebase Memory MCP: A Map for AgentsNEW	Turn your repo into a code graph - half the tokens per task.

4.1	📘	Agent Modes: Plan vs Default vs Auto	Three trust levels and the gear-shifting workflow between them.
4.2	📘	Agent Sandbox: OS-Level Security	Filesystem + network walls: Seatbelt, bwrap, gVisor, Firecracker.
4.3	📘	From Prompts to Harness: 3 Shifts	Why AI engineering moved from phrasing to information to control.
4.4	📘	Harness: The 6 Components	Context, tools, orchestration, state, evaluation, recovery.
4.5	Video	Pi Extensions: Rewrite the HarnessNEW	In-process extensions vs out-of-process hooks - what each can actually reach, and where the real ceiling is.
4.6	Video	Harness in Practice: OpenAI + Anthropic	What OpenAI and Anthropic changed for production agent systems.
4.7	Video	Loop Engineering: Write Verifiers, Not Prompts	Why the verifier is the bottleneck, open vs closed loops, and how to make either ship.
4.8	📘	Loop Engineering: The Anthropic PlaybookNEW	Anthropic's gather-act-verify loop, and the five principles that make it reliable.
4.9	📘	Loop Engineering, Karpathy-StyleNEW	How Karpathy's generation-verification loop and autonomy slider became loop engineering.
4.10	📘	Karpathy's LOOPS.md: What It Says and What's VerifiedNEW	What the circulating LOOPS.md file claims, why the rules are real loop engineering, and what we could verify about the attribution.
4.11	📘	The 4 Types of Agentic LoopsNEW	Turn-based, goal-based, time-based, and proactive loops - which part of the cycle each hands off.
4.12	📘	Addy Osmani's Loop Engineering: The 5 ComponentsNEW	Osmani's five loop components, the three debts, and why you still own the outer loop.
4.13	Video	The Evolve Loop: Loops That Rewrite ThemselvesNEW	How an evolve run rewrites a loop's own contract, state, and triggers - and the rule that stops it becoming busywork.
4.14	📘	Loop Engineering in Practice: 30 Days of DataNEW	A real two-loop content system with every number published - the run log, the quality-valve skips, and the failures.
4.15	📘	Graph Engineering: Wire Loops into a GraphNEW	When one agent loop is not enough: nodes, edges, shared state, the frameworks, and when NOT to reach for a graph.
4.16	📘	Graph vs Loop Engineering: What ChangedNEW	What genuinely changed versus what is a rebrand - a before/after build and a paradigm gut-check.
4.17	📘	Graph or Loop: How to DecideNEW	The 5 signals you have outgrown a loop, the cost of a graph you did not need, and a 30-second decision tree.
4.18	📘	Is It Just LangGraph? Frameworks ComparedNEW	LangGraph vs AutoGen GraphFlow vs Google ADK vs A2A - the pattern versus the implementations.
4.19	📘	The 5 Layers of AI EngineeringNEW	Prompt, context, harness, loop, graph - the whole stack, and which layer is your bottleneck right now.
4.20	📘	How to Evaluate AI Agents	Generator-evaluator, traces, eval sets, and LLM-as-judge pitfalls.
4.21	Video	Proactive Agents & the Company-as-Code PatternNEW	What a 147-agent "AI company" repo teaches about proactive, self-improving systems.
4.22	📘	Claude Fable 5: Access, Pricing, Prompting	How to use Claude Fable 5 - access, prompting, pricing, refusals.

Claude Code Fundamentals

1Getting Started

2Workflows & Techniques

1Getting Started

2Workflows & Techniques

Build AI Agents

1Fundamentals

2Build From Scratch

3Tools & Infrastructure

4Production

1Fundamentals

2Build From Scratch

3Tools & Infrastructure

4Production

AI Coding Tools

1Cursor & Tools

1Cursor & Tools

More Resources

Comparisons

Agent Skills Library

Claude Code for Your Role

UI & Design

Builder Stories & Guides

News & Updates

Tool Reviews

Join AI Builder Club

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2.1	📋	Build an Agent in 60 Lines of Python	Build an AI agent from scratch in Python - step by step.
2.2	📘	Multi-Agent Coordinator + Workers (200 lines)	Multi-agent coordination in Python - real working code.
2.3	Video	Hermes: Self-Hosted, Never Forgets	Self-hosted AI agent that retains memory across sessions.
2.4	📘	Gemma 4: Free Local Agents with Ollama	Run free agentic AI locally with Ollama + Gemma 4.

1.1	Video	Ship Code 10x Faster with Cursor	Complete Cursor IDE setup - Tab, Cmd+K, Chat, Composer, .cursorrules.
1.2	Video	The 5 Levels of Coding Agent Autonomy	From simple code review to fully autonomous engineering.
1.3	📘	Google Antigravity: Complete Guide	Complete guide to Google's free agent IDE.
1.4	Video	Codex CLI: How It Works + When to Use It	The auth/billing fork, the 2026 model decision tree, and Codex vs Claude Code.

Free AI Builder Courses, Guides & Bootcamp

Claude Code Fundamentals

1Getting Started

2Workflows & Techniques

1Getting Started

2Workflows & Techniques

Build AI Agents

1Fundamentals

2Build From Scratch

3Tools & Infrastructure

4Production

1Fundamentals

2Build From Scratch

3Tools & Infrastructure

4Production

AI Coding Tools

1Cursor & Tools

1Cursor & Tools

More Resources

Comparisons

Agent Skills Library

Claude Code for Your Role

UI & Design

Builder Stories & Guides

News & Updates

Tool Reviews

Join AI Builder Club

Get the free newsletter