huggingface/agents-course

Project overview

The curriculum provides a structured path from foundational agent concepts to automated evaluation, covering three distinct frameworks.

Project type

AI Agent · Learning Resources

Use cases

Learning & Education

Deployment

Refer to project documentation

License

Apache-2.0

Best for

• Developers, educators, and researchers who already possess basic Python and LLM knowledge and want a free, structured curriculum for learning agent frameworks.

Key capabilities

• Provides an overview of the smolagents, LangGraph and LlamaIndex frameworks.
• Provides an automated evaluation of agents and a leaderboard with student results.

Limitations and risks

• The course requires basic knowledge of Python and LLMs prior to starting.
• The project does not support self-hosting or local execution.

Getting started

• Access is rated as easy to set up. Users register for free and navigate to the course URL to begin.

Alternatives and comparisons

• Provides an 18-lesson course with written guides, videos, and Python code samples to teach how to build AI Agents.
• Provides a comprehensive, theory-and-practice guide to deeply understand and build AI Native Agent systems, from core principles to multi-agent applications.
• A comprehensive resource of production-ready projects and in-depth tutorials across all skill levels to experiment and succeed in AI engineering.

Project comparisons

• huggingface/agents-course vs microsoft/ai-agents-for-beginners
• huggingface/agents-course vs datawhalechina/hello-agents
• huggingface/agents-course vs patchy631/ai-engineering-hub

Evidence and sources

Open original GitHub project