README

The Hugging Face Agents Course

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 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                      | Welcome, guidelines, necessary tools, and course overview.                                                                             |
| 1       | Introduction to Agents                     | Definition of agents, LLMs, model family tree, and special tokens.                                                                     |
| 1 Bonus | Fine-tuning an LLM for Function-calling | Learn how to fine-tune an LLM for Function-Calling                                                                                     |
| 2       | Frameworks for AI Agents                      | Overview of smolagents, LangGraph and LlamaIndex.                                                                                |
| 2.1     | The Smolagents Framework           | Learn how to build effective agents using the smolagents library, a lightweight framework for creating capable AI agents.            |
| 2.2     | The LlamaIndex Framework          | Learn how to build LLM-powered agents over your data using indexes and workflows using the LlamaIndex toolkit.                       |
| 2.3     | The LangGraph Framework             | 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            | Learn how to trace and evaluate your agents.                                                                                           |
| 3       | Use Case for Agentic RAG          | 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          | Automated evaluation of agents and leaderboard with student results.                                                                   |
| 3 Bonus | Agents in Games with Pokemon            | Explore the exciting intersection of AI Agents and games.        |
   

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