Welcome to the most exciting topic in AI today: Agents!
This free course will take you on a journey, from beginner to expert, in understanding, using and building AI agents.
This first unit will help you onboard:
Letâs get started!
We organize a live Q&A this Wednesday, February the 12th at 5PM CET. Where we will explain how the course will work (scope, units, challenges and more) and answer your questions.
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In this course, you will:
And more!
At the end of this course youâll understand how Agents work and how to build your own Agents using the latest libraries and tools.
Donât forget to sign up to the course!
(We are respectful of your privacy. We collect your email address to be able to send you the links when each Unit is published and give you information about the challenges and updates).
The course is composed of:
This course is a living project, evolving with your feedback and contributions! Feel free to open issues and PRs in GitHub, and engage in discussions in our Discord server.
After you have gone through the course, you can also send your feedback đ using this form
Here is the general syllabus for the course. A more detailed list of topics will be released with each unit.
Chapter | Topic | Description |
---|---|---|
0 | Onboarding | Set you up with the tools and platforms that you will use. |
1 | Agent Fundamentals | Explain Tools, Thoughts, Actions, Observations, and their formats. Explain LLMs, messages, special tokens and chat templates. Show a simple use case using python functions as tools. |
2 | Frameworks | Understand how the fundamentals are implemented in popular libraries : smolagents, LangGraph, LLamaIndex |
3 | Use Cases | Letâs build some real life use cases (open to PRs đ€ from experienced Agent builders) |
4 | Final Assignment | Build an agent for a selected benchmark and prove your understanding of Agents on the student leaderboard đ |
We are also planning to release some bonus units, stay tuned!
To be able to follow this course you should have a:
You only need 2 things:
You can choose to follow this course in audit mode, or do the activities and get one of the two certificates weâll issue.
If you audit the course, you can participate in all the challenges and do assignments if you want, and you donât need to notify us.
The certification process is completely free:
Thereâs a deadline for the certification process: all the assignments must be finished before May 1st 2025.
Each chapter in this course is designed to be completed in 1 week, with approximately 3-4 hours of work per week.
Since thereâs a deadline, we provide you a recommended pace:
To get the most out of the course, we have some advice:
About the authors:
Joffrey is a machine learning engineer at Hugging Face and has built and deployed AI Agents in production. Joffrey will be your main instructor for this course.
Ben is a machine learning engineer at Hugging Face and has delivered multiple courses across various platforms. Benâs goal is to make the course accessible to everyone.
Thomas is a machine learning engineer at Hugging Face and delivered the successful Deep RL and ML for games courses. Thomas is a big fan of Agents and is excited to see what the community will build.
We would like to extend our gratitude to the following individuals for their invaluable contributions to this course:
Contributions are welcome đ€
Please ask your question in our discord server #ai-agents-discussions.
Now that you have all the information, letâs get on board â”