Welcome to the 🤗 AI Agents Course

AI Agents Course thumbnail
The background of the image was generated using Scenario.com

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:

Let’s 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.

👉 https://www.youtube.com/live/PopqUt3MGyQ?feature=shared

👉 Don’t forget to click to Notify me, to not miss the live.

First live thumbnail

What to expect from this course?

In this course, you will:

And more!

At the end of this course you’ll understand how Agents work and how to build your own Agents using the latest libraries and tools.

Don’t 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).

Sign up 👉 here

What does the course look like?

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 👉 using this form

What’s the syllabus?

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 Let’s build some real life use cases ( open to PRs 🤗 from experienced Agent builders )
4 Final Assignment Build an agent for a selected benchmark and prove your understanding of Agents on the student leaderboard 🚀

We are also planning to release some bonus units, stay tuned!

What are the prerequisites?

To be able to follow this course you should have a:

What tools do I need?

You only need 2 things:

The Certification Process

Two paths

You can choose to follow this course in audit mode, or do the activities and get one of the two certificates we’ll issue.

If you audit the course, you can participate in all the challenges and do assignments if you want, and you don’t need to notify us.

The certification process is completely free:

There’s a deadline for the certification process: all the assignments must be finished before May 1st 2025.

Deadline

What is the recommended pace?

Each chapter in this course is designed to be completed in 1 week, with approximately 3-4 hours of work per week.

Since there’s a deadline, we provide you a recommended pace:

Recommended Pace

How to get the most out of the course?

To get the most out of the course, we have some advice:

  1. Join study groups in Discord: studying in groups is always easier. To do that, you need to join our discord server and verify your Hugging Face account.
  2. Do the quizzes and assignments: the best way to learn is through hands-on practice and self-assessment..
  3. Define a schedule to stay in sync: you can use our recommended pace schedule below or create yours.
Course advice

Who are we

About the authors:

Joffrey Thomas

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 Burtenshaw

Ben is a machine learning engineer at Hugging Face and has delivered multiple courses across various platforms. Ben’s goal is to make the course accessible to everyone.

Thomas Simonini

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.

Acknowledgments

We would like to extend our gratitude to the following individuals for their invaluable contributions to this course:

I found a bug, or I want to improve the course

Contributions are welcome 🤗

I still have questions

Please ask your question in our discord server #ai-agents-discussions.

Now that you have all the information, let’s get on board ⛵

Time to Onboard < > Update on GitHub