This repository provides a comprehensive, free course on building AI agents, targeting developers and researchers with basic Python and LLM knowledge. It covers agent fundamentals, fine-tuning, and popular frameworks like smolagents, LangGraph, and LlamaIndex, culminating in practical use cases and agent evaluation.

How It Works

The course structure progresses from foundational concepts of AI agents and Large Language Models (LLMs) to practical implementation using specialized frameworks. It emphasizes hands-on learning through modules covering fine-tuning LLMs for function calling, building agents over custom data with LlamaIndex, controlling agent execution flow with LangGraph, and utilizing the lightweight smolagents library.

Quick Start & Requirements

• Access: Course materials are available online at https://hf.co/learn/agents-course.
• Prerequisites: Basic Python programming and fundamental knowledge of Large Language Models (LLMs).
• Setup: No specific installation is required to access the course content; it's web-based.

Highlighted Details

• Covers four distinct units, progressing from introductory concepts to advanced use cases.
• Includes bonus modules on fine-tuning LLMs for function-calling and agent observability/evaluation.
• Features practical application examples such as SQL, code, retrieval, and on-device agents.
• Culminates in a final assignment with automated agent evaluation and a student leaderboard.

Maintenance & Community

• The project is maintained by Hugging Face.
• Contributions are welcomed via pull requests for fixes or new unit proposals through GitHub issues.
• Community discussions can be joined via Discord.

Licensing & Compatibility

• The repository content is available under a permissive license, suitable for educational and general use. Specific licensing details for course materials are not explicitly stated beyond the GitHub repository's standard terms.

Limitations & Caveats

The course is presented as a learning resource, not a software library. While it covers various agent frameworks, it does not provide a single, installable agent framework itself. The "2025" year in the citation suggests potential for ongoing development or updates.