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What is this?
The official Hugging Face Agents Course: a free, hands-on curriculum that teaches how to build AI agents, progressing from the basics to agent frameworks and a certified final project.
The official Hugging Face Agents Course: a free, hands-on curriculum that teaches how to build AI agents, progressing from the basics to agent frameworks and a certified final project.Is this a self-paced reading course or do I need to sign up somewhere?It's a free course you sign up for online; this repo hosts the lesson content organized into numbered units and bonus units you work through at your own pace.
It's a free course you sign up for online; this repo hosts the lesson content organized into numbered units and bonus units you work through at your own pace.Where should I start?Start with Unit 0 (Welcome to the Course) for setup and guidelines, then move through Units 1-4 covering agent basics, frameworks, and the final certified project.
Start with Unit 0 (Welcome to the Course) for setup and guidelines, then move through Units 1-4 covering agent basics, frameworks, and the final certified project.Do I need to know Python or machine learning first?Just basic knowledge of Python and basic knowledge of LLMs — no deep ML background required.
Just basic knowledge of Python and basic knowledge of LLMs — no deep ML background required.Do I actually get a certificate at the end?Yes — Unit 4 is a final project where your agent is automatically evaluated and ranked on a leaderboard, letting you get certified.
Yes — Unit 4 is a final project where your agent is automatically evaluated and ranked on a leaderboard, letting you get certified.Which agent frameworks does the course teach?It covers smolagents (a lightweight agent library), LlamaIndex (for building agents over your data with workflows), and LangGraph (for production-ready, controllable agent flows).
It covers smolagents (a lightweight agent library), LlamaIndex (for building agents over your data with workflows), and LangGraph (for production-ready, controllable agent flows).What's the Pokemon bonus unit about?A bonus unit (3 Bonus) explores building AI agents to play Pokemon games, mixing agent design with game environments.
A bonus unit (3 Bonus) explores building AI agents to play Pokemon games, mixing agent design with game environments.Does the course cover retrieval-augmented agents?Yes, Unit 3 is dedicated to Agentic RAG, showing how to apply retrieval-augmented generation in agent use cases across different frameworks.
Yes, Unit 3 is dedicated to Agentic RAG, showing how to apply retrieval-augmented generation in agent use cases across different frameworks.What are similar projects?AgentGuide, ai-system-design, ai-agents-from-zero, llm-cookbook, ai-agents-the-definitive-guide, gorilla, ai-engineer-notebooks, hello-agents
AgentGuide, ai-system-design, ai-agents-from-zero, llm-cookbook, ai-agents-the-definitive-guide, gorilla, ai-engineer-notebooks, hello-agentsWhich topics is it in?llamaindex, certification, mdx, langchain, curriculum, agent-framework, course, evaluation, fine-tuning, observability, rag, agentic-ai
llamaindex, certification, mdx, langchain, curriculum, agent-framework, course, evaluation, fine-tuning, observability, rag, agentic-ai