https://github.com/huggingface/agents-course
This repository contains the Hugging Face Agents Course.
https://github.com/huggingface/agents-course
agentic-ai agents course huggingface langchain llamaindex smolagents
Last synced: 13 days ago
JSON representation
This repository contains the Hugging Face Agents Course.
- Host: GitHub
- URL: https://github.com/huggingface/agents-course
- Owner: huggingface
- License: apache-2.0
- Created: 2025-01-16T19:50:22.000Z (4 months ago)
- Default Branch: main
- Last Pushed: 2025-05-07T20:31:04.000Z (21 days ago)
- Last Synced: 2025-05-09T11:17:45.074Z (20 days ago)
- Topics: agentic-ai, agents, course, huggingface, langchain, llamaindex, smolagents
- Language: Jupyter Notebook
- Homepage:
- Size: 26.9 MB
- Stars: 18,024
- Watchers: 141
- Forks: 1,173
- Open Issues: 52
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# The Hugging Face Agents Course
If you like the course, **don't hesitate to ⭐ star this repository**. This helps us to **make the course more visible 🤗**.
## Content
The course is divided into 4 units. These will take you from **the basics of agents to a final assignment with a benchmark**.
Sign up here (it's free) 👉 https://bit.ly/hf-learn-agents
You can access the course here 👉 https://hf.co/learn/agents-course
| Unit | Topic | Description |
|---------|----------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------|
| 0 | [Welcome to the Course](https://huggingface.co/learn/agents-course/en/unit0/introduction) | Welcome, guidelines, necessary tools, and course overview. |
| 1 | [Introduction to Agents](https://huggingface.co/learn/agents-course/en/unit1/introduction) | Definition of agents, LLMs, model family tree, and special tokens. |
| 1 Bonus | [Fine-tuning an LLM for Function-calling](https://huggingface.co/learn/agents-course/bonus-unit1/introduction) | Learn how to fine-tune an LLM for Function-Calling |
| 2 | [Frameworks for AI Agents](https://huggingface.co/learn/agents-course/unit2/introduction) | Overview of `smolagents`, `LangGraph` and `LlamaIndex`. |
| 2.1 | [The Smolagents Framework](https://huggingface.co/learn/agents-course/unit2/smolagents/introduction) | Learn how to build effective agents using the `smolagents` library, a lightweight framework for creating capable AI agents. |
| 2.2 | [The LlamaIndex Framework](https://huggingface.co/learn/agents-course/unit2/llama-index/introduction) | Learn how to build LLM-powered agents over your data using indexes and workflows using the `LlamaIndex` toolkit. |
| 2.3 | [The LangGraph Framework](https://huggingface.co/learn/agents-course/unit2/langgraph/introduction) | Learn how to build production-ready applications using the `LangGraph` framework giving you control tools over the flow of your agent. |
| 2 Bonus | [Observability and Evaluation](https://huggingface.co/learn/agents-course/bonus-unit2/introduction) | Learn how to trace and evaluate your agents. |
| 3 | [Use Case for Agentic RAG](https://huggingface.co/learn/agents-course/unit3/agentic-rag/introduction) | Learn how to use Agentic RAG to help agents respond to different use cases using various frameworks. |
| 4 | [Final Project - Create, Test and Certify Your Agent](https://huggingface.co/learn/agents-course/unit4/introduction) | Automated evaluation of agents and leaderboard with student results. |
## Prerequisites
- Basic knowledge of Python
- Basic knowledge of LLMs
## Contribution Guidelines
If you want to contribute to this course, you're welcome to do so. Feel free to open an issue or join the discussion in the [Discord](https://discord.gg/UrrTSsSyjb). For specific contributions, here are some guidelines:
### Small typo and grammar fixes
If you find a small typo or grammar mistake, please fix it yourself and submit a pull request. This is very helpful for students.
### New unit
If you want to add a new unit, **please create an issue in the repository, describe the unit, and why it should be added**. We will discuss it and if it's a good addition, we can collaborate on it.
## Citing the project
To cite this repository in publications:
```bibtex
@misc{agents-course,
author = {Burtenshaw, Ben and Thomas, Joffrey and Simonini, Thomas and Paniego, Sergio},
title = {The Hugging Face Agents Course},
year = {2025},
howpublished = {\url{https://github.com/huggingface/agents-course}},
note = {GitHub repository},
}
```