Awesome AI Agents › Courses and Tutorials
The Hugging Face Agents Course repository offers a comprehensive educational resource designed to teach users about AI agents, large language models (LLMs), and their practical applications. The course is structured into five main units, starting from the basics and progressing to advanced topics, including a final assignment with a benchmark to evaluate learning outcomes. It covers foundational concepts such as the definition of agents, the model family tree, and special tokens used in LLMs. The course also introduces various frameworks for building AI agents, including smolagents, LangGraph, and LlamaIndex, providing learners with hands-on experience in creating effective and production-ready AI agents. Additional bonus units focus on fine-tuning LLMs for function-calling and on observability and evaluation techniques to trace and assess agent performance. The course is accessible for free upon sign-up and is designed for individuals with basic knowledge of Python and LLMs. It encourages community contributions, offering guidelines for fixing typos, adding new units, and collaborating on existing content. The repository also provides links to the course content, contribution guidelines, and a Discord channel for community interaction. This course is ideal for learners seeking to deepen their understanding of AI agents and their implementation using modern frameworks, supported by practical examples and a collaborative learning environment.
https://github.com/huggingface/agents-course
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