Hugging Face AI Agents Course

Designing LLM agents end-to-end with smolagents, LangGraph, and LlamaIndex — tool loops, function calling, RAG, and agent evaluation.

Download certificate (PDF)

Course was completed in summer of 2025, but I fetched the certificate for HuggingFace a second time to attach here and it refreshed the date.

Skills covered

• Agent Fundamentals: tools, thoughts, actions, observations, LLM special tokens, chat templates
• Agent Frameworks: building agents with smolagents, LangGraph, and LlamaIndex
• Use Cases: end-to-end agent applications including retrieval (RAG), code interpreters, and tool use over real data
• Final Assignment: develop, benchmark, and submit an agent to the public leaderboard (GAIA benchmark)

See also

The capstone Unit 4 final challenge for this course produced my GAIA Benchmark Agent — a multi-modal LangGraph agent built to tackle the GAIA reasoning benchmark.