What is this?
Anthropic's official set of educational courses on working with Claude: five hands-on courses covering API essentials, prompt engineering, real world prompting, prompt evaluations, and tool use.
Are these video lessons or material I work through myself?
Hands-on material: the courses are Jupyter Notebooks that you work through by running code, and the exercises call the live Claude API.
Which course should I start with?
Follow the suggested order: Anthropic API fundamentals first, then the prompt engineering interactive tutorial, real world prompting, prompt evaluations, and tool use last.
Do I need my own Anthropic API key to follow along?
Yes — the exercises call the real Claude API. The fundamentals course walks you through getting a key and the SDK basics: model parameters, multimodal prompts, and streaming responses.
Is this still being updated?
No — the GitHub repository is archived and read-only. The five courses remain available, but no new lessons or maintenance are coming.
Will running the exercises cost me money?
Some API spend, kept low by design: the courses usually use Claude 3 Haiku, Anthropic's cheapest model, to keep API costs down — and you can switch to any other Claude model if you prefer.
What does the prompt engineering interactive tutorial cover?
It is a comprehensive step-by-step guide to the key prompting techniques — the deep dive on prompting in this course set.
What will I get out of the tool use course?
Everything needed to implement tool use successfully in your own workflows with Claude — Anthropic positions it as the complete guide to the topic.
Do any of the courses have cloud-provider versions?
Yes — the prompt engineering tutorial has an AWS Workshop version, and the real world prompting course has a Google Vertex version.
What are similar projects?
claude-cookbooks, prompt-eng-interactive-tutorial, llm-cookbook, aie-book, gorilla, generative-ai, cookbook, ai-system-design
Which topics is it in?
claude-api, anthropic-api, function-calling, tool-calling, course, evaluation, jupyter notebook, multimodal, prompt-engineering, streaming, generative-ai, anthropic