Learn Claude — from zero to production.
A free, hands-on course on Anthropic's Claude: how the models work, how to prompt them well, how to build with the Messages API, tools, agents and MCP — and six full capstone projects that put it all together across different domains. Written for VS Code, grounded in Anthropic's own documentation and engineering blog.
Imagine a really smart pen pal who can read, write, and — if you hand it the right tools — actually go do things for you: look something up, run a calculation, edit a file. This course teaches you how to talk to that pen pal clearly, how to hand it tools safely, and how much you should let it do on its own versus checking in with you first.
Learning Claude is an independent, third-party educational resource. It is not affiliated with, endorsed by, or an official product of Anthropic. "Claude" and "Anthropic" are trademarks of Anthropic, PBC, used here only to describe what this course helps you learn. See the License, Privacy, and Terms.
Two tracks: Foundations, then Capstones
☺ Like you're 10: First you learn the pieces, one at a time. Then you watch six different teams put all the pieces together to solve a real job.
The course has 21 Foundation lessons, meant to be read in order — from your first API call through prompting, the Messages API, tool use, caching, RAG, agent-building patterns, MCP, Claude Code, safety, evaluation, and production. Then six Capstone projects in different domains, each contrasting a naive approach against one or more production-grade patterns straight out of Anthropic's own Building Effective Agents playbook.
Welcome & Setup
VS Code, an API key, and your first "hello Claude" call in Python and JavaScript. Begin →
The API, end to end
What Claude is, the Messages API, prompting, vision, streaming, tool use, structured output, caching, extended thinking. Start Foundations →
Agents & Retrieval
RAG, Building Effective Agents, the Agent SDK & MCP, and Claude Code in depth. Start here →
Safety & Production
Responsible use, evaluation, production deployment, and the patterns/anti-patterns field guide. Start here →
Six Capstones
Support, code review, finance, healthcare, research, and e-commerce — full systems, not toy demos. See the capstones →
Flashcards & Self-Check
Spaced-repetition flashcards and a shuffled quiz drawn from every lesson. Start practicing →
Meet the Claude Crew
☺ Like you're 10: To make the big ideas stick, this course is taught by a team of animal friends. Each one is an expert at one job — so the moment the octopus shows up, you'll know it's time to talk about running several agents at once.
Every concept in this course has a recurring character who is that idea — 🦉 Professor Owl teaches, 🦊 Foxy asks the questions, 🐘 Ellie remembers, 🦫 Benny builds, 🐙 Olly runs the agents, 🐢 Timmy checks the work, 🐿️ Nutty gathers the data, and 🐦 Pip carries the messages — plus a dedicated guide for each capstone domain. Watch for the "Your host for this topic" strip and the little "🎬 At the Claude Crew" scenes in each lesson.
Meet the full roster and see how it works → The Claude Crew
Six capstones, six domains
☺ Like you're 10: A capstone is the last, biggest LEGO build after you've learned all the pieces — it's where you see the whole thing actually work.
Each capstone compares 2-3 different implementation methodologies in a real domain, names the exact pattern from Building Effective Agents it relies on, and calls out the domain-specific risks and guardrails a real deployment would need.
Customer Support Agent
Routing, RAG-grounded replies with citations, and a mandatory human checkpoint before anything sensitive goes out.
Open the capstone → Software EngineeringCode Review Pipeline
An evaluator-optimizer loop and Claude Code subagents that review every pull request, gated by plan mode.
Open the capstone → FinTech · AccountingFinancial Document Intelligence
Vision extraction, schema validation, and a human-review queue for anything below a confidence threshold.
Open the capstone → HealthcareClinical Intake & Triage
Deliberately low autonomy — structured intake with hard guardrails, never a diagnosis, always a human in the loop.
Open the capstone → Knowledge WorkMulti-Agent Research System
Orchestrator-workers and parallelization, with an explicit cost budget and a citation requirement on every claim.
Open the capstone → Retail · E-CommerceE-Commerce Merchandising Copilot
Hybrid search and routing, with tightly scoped tools so Claude can never issue its own discounts.
Open the capstone →The one mental model that makes everything click
☺ Like you're 10: Picture a dial that goes from "I write the whole plan" to "I tell Claude the goal and it figures out the steps." You turn the dial further only once you trust it with that job.
Before any feature, internalize this from Anthropic's own Building Effective Agents: a Claude-based system is not one thing — it is a spectrum of autonomy. A workflow is a predefined code path where you decide what happens next; an agent is Claude dynamically directing its own process and tool use. Every capability in this course sits somewhere on the line above, and the guidance is consistent throughout: start with the simplest thing that works — often a single well-crafted prompt — and add complexity only when a simpler solution demonstrably falls short.
What's inside
☺ Like you're 10: The lessons are stacked like levels in a game — each one uses what you learned in the level before, so you keep getting stronger instead of starting over.
Welcome & Setup
VS Code, an Anthropic Console account, and your first API call.
01 · FoundationsWhat Is Claude?
The model family, context windows, and claude.ai vs. the API.
03 · FoundationsThe Messages API, Basics
Requests, responses, roles, and multi-turn conversations.
04 · FoundationsPrompt Engineering Fundamentals
Clear instructions, examples, XML structure, and roles.
08 · FoundationsTool Use
Function calling: schemas, tool_choice, and the tool-result loop.
10 · FoundationsPrompt Caching
Cache breakpoints, and the cost/latency tradeoff.
12 · AgentsRetrieval-Augmented Generation
Embeddings, contextual retrieval, and grounded citations.
13 · AgentsBuilding Effective Agents
Chaining, routing, parallelization, orchestrator-workers, evaluator-optimizer.
14 · AgentsAgent SDK & MCP
The agent loop, and the open protocol for tools & data.
15 · AgentsClaude Code, Deep Dive
Plan mode, CLAUDE.md, subagents, hooks — in VS Code.
16 · ProductionSafety & Responsible Use
Constitutional AI, guardrail design, prompt-injection defense.
17 · ProductionEvaluating & Testing
Eval datasets, promptfoo, and LLM-as-judge.
18 · ProductionProduction Deployment
Rate limits, backoff, model routing, and the Batches API.
19 · ReferencePatterns & Anti-Patterns
A field guide you'll come back to — one table, the whole course.
★ ReferenceQuick Reference & Glossary
The cheat sheet and the terms, in one place.
…plus a self-check quiz, spaced-repetition flashcards, and the full Foundations and Capstones tracks in the sidebar.
This reflects the Claude platform in mid-2026. Model names, pricing, and exact parameters move often. Treat specific numbers as "true at time of writing" and verify live details at docs.claude.com. The concepts are stable; the knobs and prices are not.