Generative AIBeginner
Learn Generative AI in 23 Hours
freeCodeCamp's generative AI course covering prompt engineering, RAG, model deployment, and AI agents. Taught by Andrew Brown. Completely free on YouTube.
Free course on Hugging Face
Hugging Face LLM Course
30 hours 4.9(28,000 reviews)Free
Hugging Face's NLP Course is a free course that teaches natural language processing with Hugging Face's transformers library. You learn text classification, translation, question-answering, and more using pre-trained models. The course combines videos, text lessons, and hands-on labs. After finishing, you can build sophisticated NLP applications using modern transformers. The course covers both theory and practice. The main limitation: transformers are rapidly evolving. Some techniques may become outdated quickly.
Hugging Face's Model Hub passed 2 million public models in 2025, up from under 1 million the year before (source: huggingface.co/blog/ivanfioravanti/three-million-models-and-counting).
About This Course
Learn to build and deploy with transformers and large language models in this 12-chapter course from Hugging Face. You'll start with NLP fundamentals, then move into modern LLM techniques: tokenization, fine-tuning, reasoning models, and building shareable demos. By the end, you'll know how to use pre-trained models, customize them on your own data, and integrate them into real applications. Best if you have some Python experience; the course assumes basic familiarity with machine learning. Fair warning: LLM chapters move fast, so budget time for rereading.
Course Details
- Platform
- Hugging Face
- Language
- Generative AI
- Level
- intermediate
- Duration
- 30h
- Certificate
- No
- Cost
- Free
Frequently Asked Questions
Is Hugging Face's NLP course free?
Yes, completely free.
Do I need ML experience?
Some Python and ML fundamentals help, but the course teaches NLP from scratch.
What's a transformer?
A neural network architecture that revolutionized NLP. BERT, GPT, and others are all transformers.
Can I use these models for production?
Yes, Hugging Face models are production-ready and widely deployed.
What's the next step?
Fine-tune models for your specific task, or build applications using the API.
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