Hugging Face Agents Course
The Hugging Face Agents Course is a free, structured curriculum that teaches developers how to build AI agents using frameworks like smolagents, LangGraph, and LlamaIndex. It covers everything from LLM fundamentals to advanced topics like function-calling fine-tuning, observability, and agentic RAG, culminating in a final project with automated evaluation and certification.
✨ Key features
- Free, self-paced course with 4 main units plus bonus content
- Hands-on tutorials for smolagents, LangGraph, and LlamaIndex
- Bonus unit on fine-tuning LLMs for function-calling
- Covers observability and evaluation of agents
- Final project with automated evaluation and leaderboard
- Community support via Discord and contribution guidelines
🎯 Use cases
- Learn to build AI agents from scratch
- Compare and choose between agent frameworks
- Implement agentic RAG for data-driven applications
- Fine-tune LLMs for function-calling
- Prepare for certification in agent development
⚠️ Good to know
The course is a learning resource, not a software tool; it requires an internet connection and a Hugging Face account to access the course materials.
❓ FAQ
Is the course free?
Yes, the course is free. You can sign up at https://bit.ly/hf-learn-agents.
What are the prerequisites?
Basic knowledge of Python and LLMs is required.
What frameworks are covered?
The course covers smolagents, LangGraph, and LlamaIndex.
How can I contribute to the course?
You can fix typos and grammar mistakes via pull requests, or propose new units by creating an issue in the repository.
📊 Repository
🤖 Overview, features, install steps and FAQ were generated from the project's README on Sep 4, 2026. Always check the original source before running commands.