LLMs
Free
Prompt Engineering for Developers
with DeepLearning.AI
Ninety minutes, and it changes how you use any model.
Beginner 2h
LLM Course
Open-source models end to end, free and hands-on.
Hugging Face's own course on working with language models using the open-source stack: transformers, datasets and tokenizers. It is hands-on throughout, with notebooks you run rather than slides you watch.
with Hugging Face
Listed by AI Review Rating. We are not affiliated with Hugging Face and earn nothing from this link.
Course overview
Because it is written by the people who maintain the libraries, it stays current with how the tools actually work rather than how they worked two years ago.
What you will learn
- Use the transformers library to run and adapt pretrained models
- Prepare and tokenize a dataset properly for training
- Fine-tune a model on your own data and evaluate the result
- Share models and datasets on the Hub the way the ecosystem expects
Who this course is for
Engineers going open-source
the standard route into the stack
ML practitioners
the practical companion to the theory you have
Course details
FormatWritten chapters with runnable notebooks
LevelIntermediate
PriceFree
Time30 hours
CertificateNo certificate
About Hugging Face
Hugging Face maintains the open-source libraries most of the field runs on, including transformers, datasets and tokenizers. Its courses are written by the maintainers, so they track how the tools actually work.
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