Hugging Face Learn is the course and docs entry for its open models and toolchain, covering model fundamentals, fine-tuning and alignment, retrieval augmentation and agent building, with runnable notebooks in most chapters and links to repos and model pages. It suits people who want to understand mechanisms and build, not everyday prompt phrasing, which appears only in a few chapters. Courses track library versions and some pages are drafts; you supply the runtime.
What it does
- Courses organized around open models and tooling, including LLMs and fine-tuning
- Runnable code examples in most chapters
- A staged path from principles to deployment
- Links to repos and model pages for implementation detail
- Open access, updated with library versions
Who it is for
- Running open models and understanding each stage
- Needing a starting path for retrieval or agents
- A team member moving from app layer to model layer
- Debugging someone else's implementation at a specific step
How to get started
- Pick the course closest to your goal instead of starting everything
- Run the code for each chapter in your own environment
- Swap in your own data and review the differences
