Hugging Face · Course
LLM Course
The Hugging Face LLM Course teaches large language models and natural language processing with the Hugging Face libraries (Transformers, Datasets, Tokenizers and Accelerate) and the Hub. Hugging Face says it is completely free and without ads.
Who it suits
- Developers who want to use, fine-tune and share language models with the Hugging Face ecosystem.
- Learners who want both classic NLP concepts and current LLM techniques.
What it covers
- How Transformer models work, and how to use a model from the Hub, fine-tune it on a dataset and share the result.
- The basics of Datasets and Tokenizers, then classic NLP tasks and LLM techniques.
- Libraries outside the Hugging Face ecosystem that the course also covers.
- How NLP, the broader field, relates to LLMs, a powerful subset of it.
Common questions about LLM Course
- Is it free?
- Hugging Face says the course is completely free and without ads.
- How is it organised?
- Chapters 1 to 4 introduce the Transformers library, and chapters 5 to 8 cover Datasets, Tokenizers and classic NLP tasks and LLM techniques.
- Is it only about LLMs?
- It started as an NLP course and now emphasises LLMs, while teaching the NLP foundations needed to work with them.
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Where this comes from
Written from Hugging Face’s own pages, read on 2026-10-14. Content, prices and availability change, so the provider’s page is the source. We are not affiliated with Hugging Face and this is not an endorsement.