Hugging Face LLM Course
by Hugging Face
The definitive free course on transformers and LLMs using the Hugging Face ecosystem.
Overview
This course teaches modern NLP/LLM development through the Hugging Face libraries (Transformers, Datasets, Tokenizers). It covers how transformer models work, using pretrained models, fine-tuning on your data, tokenization internals, and increasingly agent/LLM-app topics. It's hands-on throughout, framework-current, and free with a certificate — a superb structured path for practitioners.
At a Glance
- Topic
- Models
- Level
- Beginner
- Format
- Course
- Cost
- Free
- Duration
- ~15-20 hours, self-paced
- Provider
- Hugging Face
- Hands-on
- Yes — code/exercises
- Certificate
- Available
What You’ll Learn
- ✓How transformer models and tokenizers work
- ✓Using and fine-tuning pretrained models
- ✓The Transformers/Datasets/Tokenizers libraries
- ✓Building applications on top of LLMs
Highlights
- •Comprehensive and hands-on
- •Maintained by Hugging Face, kept current
- •Free with certificate
Who It’s For
Best For
- ✓Developers entering practical LLM/NLP work
Prerequisites
- •Python
- •Basic deep-learning concepts
FAQ
What is Hugging Face LLM Course?
Hugging Face's comprehensive free course (formerly the NLP Course) on transformers, tokenizers, fine-tuning, and building with LLMs.
Is Hugging Face LLM Course free?
Hugging Face LLM Course is free to access.
What level is Hugging Face LLM Course for?
Hugging Face LLM Course is aimed at a beginner audience. Recommended background: Python, Basic deep-learning concepts.
How long does Hugging Face LLM Course take?
Expect roughly ~15-20 hours, self-paced. Most learners work through it at their own pace.
What will I learn from Hugging Face LLM Course?
You'll learn: How transformer models and tokenizers work; Using and fine-tuning pretrained models; The Transformers/Datasets/Tokenizers libraries; Building applications on top of LLMs.