24 · Free
Official resources from Anthropic
This course builds on the official courses and documentation from Anthropic, the company behind Claude. They are all free. Here they are organized by level, with the part of this course each one pairs with.
For everyone
No technical background needed. If you only take one, take AI Fluency.
Course· 14 lessons · ~4 h
AI Fluency: Framework and foundations
The 4D framework (Delegation, Description, Discernment, Diligence) for working with AI effectively, efficiently, ethically and safely. The backbone of Part 1.
Pairs with: Part 1
Course· 13 lessons · ~3.5 h
AI capabilities and limitations
An accurate mental model of what an LLM can and cannot do: next-token prediction, knowledge, working memory and context limits.
Pairs with: Part 1
Course· 8 lessons · ~3.5 h
AI Fluency for small businesses
The 4Ds applied to small-business work: customer service, back office, supply chain and leadership.
Pairs with: Part 1, Part 2
Course· 13 lessons · ~2.5 h
Claude 101
From your first conversation to projects, artifacts, skills and connected tools. Works on the free plan, though some features need a paid one.
Pairs with: Part 1, Part 2
Course· 4 to 15 min each
How AI works (short tutorials)
Short videos: why AI hallucinates, what sycophancy is, where bias comes from and why some inputs cost more tokens than others.
Pairs with: Part 1
Course· 14 lessons · ~2.5 h
Introduction to Claude Cowork
Delegating multi-step work to Claude without code: workspaces, context, task loops and plugins. Needs a paid plan and the desktop app.
Pairs with: Part 2
Course· 5 lessons · ~45 min
Building effective human-agent teams
What changes when a team moves from individual AI use to AI as a shared teammate, and how to prepare the organization.
Pairs with: Part 2
Claude Code
For Part 3. The courses need a Pro, Max or Enterprise plan, or an API key.
Course· 12 lessons · ~1.5 h
Claude Code 101
What Claude Code is and its core workflows: explore, plan, code, commit; CLAUDE.md, subagents, skills, MCP and hooks.
Pairs with: Part 3
Course· 9 lessons · ~1 h
Claude Code in action
Long, hands-off sessions you can trust: steering, configuring, automating and verifying. For people already using Claude Code.
Pairs with: Part 3
Course· 6 lessons · ~1 h
Introduction to agent skills
Building, configuring and sharing reusable skills, from your first one to distributing them to a team.
Pairs with: Part 3
Course· 4 lessons · ~45 min
Introduction to subagents
Splitting a task across parallel subagents and coordinating them.
Pairs with: Part 3, Part 4
Docs
Claude Code quickstart
Install, sign in, explore a project and make your first change. The official way to get started.
Pairs with: Part 3
Docs
Best practices for Claude Code
Verification loops, explore before coding, CLAUDE.md, permissions, hooks and context management. The reference most worth rereading.
Pairs with: Part 3
Course· 14 lessons · ~1 h
The AI-native SDLC playbook
Twelve plays for using Claude across the software development lifecycle. For engineering leads already on Claude Code.
Pairs with: Part 3, Part 4
Building with the API
For Part 4. They need basic Python and a Claude API key.
Course· 13 lessons · ~1.5 h
Claude Platform 101
From your first API request to managed agents. No prior LLM experience needed.
Pairs with: Part 4
Course· 67 lessons · ~9 h
Building with the Claude API
The full course: prompting, tool use, RAG, agents, MCP and production patterns.
Pairs with: Part 4
Course· 10 lessons · ~1 h
Introduction to Model Context Protocol
Building MCP servers and clients in Python: tools, resources and prompts.
Pairs with: Part 3, Part 4
Docs
Prompting best practices (docs)
Anthropic’s living reference on writing prompts: clarity, examples, structure, reasoning and agentic systems.
Pairs with: Part 1, Part 4
Repository
Interactive prompt engineering tutorial
Nine chapters with exercises, from basic structure to avoiding hallucinations. Written for older models, but the principles still hold.
Pairs with: Part 1, Part 4
Repository
Claude Cookbook
Recipes ready to adapt: classification, RAG, tool use, subagents, caching and the Agent SDK.
Pairs with: Part 4
Docs
Model Context Protocol
The official site of the open standard for connecting AI to other systems. The introduction reads fine for non-developers.
Pairs with: Part 2, Part 3, Part 4
Agentic engineering reading
The Anthropic engineering posts that shape Part 4 the most.
Article
Building effective agents
Workflows versus agents, and why to start with simple patterns and add complexity only when it measurably helps.
Pairs with: Part 4
Article
Effective context engineering for AI agents
Giving the model the smallest set of high-signal information at each step. The step beyond writing good prompts.
Pairs with: Part 1, Part 4
Article
Writing effective tools for agents
How to design, evaluate and improve the tools an agent uses, with Claude helping improve them.
Pairs with: Part 4