Get good with a specific AI model: 19 free resources

Each lab's own courses, cookbooks and docs - Claude, ChatGPT, Gemini, Llama, Mistral - and how to run open models yourself. I keep a directory of free ways to learn at brianpfeil.com/learn, sorted by goal, and every link opens without signing in. This is one of its paths: 19 resources, with the ones I'd start with marked ⭐. Anthropic · Claude - Anthropic Academy ⭐: Anthropic's free courses: Claude 101, Claude Code, the API and MCP. - Courses on GitHub: Anthropic's notebook courses: API fundamentals, prompting, evaluations and tool use. - Interactive prompt engineering tutorial: A nine-chapter, hands-on course in prompt engineering. - Claude Cookbooks: Copyable recipes for building with Claude: RAG, tools, agents and more. - Claude docs: The Claude API documentation, guides and prompt library. - Claude Code docs: How to use Claude Code, Anthropic's coding agent, in your terminal and editor. OpenAI · ChatGPT - OpenAI Academy: OpenAI's free courses, livestreams and events for every level. - OpenAI Cookbook: Example code and guides for building with OpenAI's models. - API docs: OpenAI's API guides and reference. Google · Gemini - Gemini API docs: Guides and quickstarts for building with Google's Gemini models. - Google AI Studio: Try Gemini models in the browser, free, and export working code. - Gemini Cookbook: Notebooks and examples for the Gemini API. Meta · Llama - Llama Cookbook: Meta's recipes for running, fine-tuning and building with Llama models. Mistral AI - Mistral docs: Guides for Mistral's open and commercial models. Run models on your own machine - Ollama: The easiest way to run open models on your own laptop. - MLX LM: Run and fine-tune language models fast on Apple silicon Macs. - llama.cpp: The engine that makes local models run on everyday hardware. Made here - Agentic Loop Engineering: Designing tight, verifiable agent loops with Claude Code - the verify step, tools, and feedback. - mlx-lm: Run, quantize, serve, and fine-tune LLMs locally on Apple Silicon with Apple's mlx-lm - the CLI and Python surfaces, from first principles, every example verified on an M4 Pro. The up-to-date list, and the other paths (code, cloud, AI, kids and more), is at brianpfeil.com/learn/models/. Top comments (0)