# Technical Documentation: huggingface/agents-course > ℹ️ **Provenance:** Multi-Tier Ingestion · [CodeWiki Reference](https://codewiki.google/github.com/huggingface/agents-course) ### Overview (`README.md`) # The Hugging Face Agents Course If you like the course, **don't hesitate to ⭐ star this repository**. This helps us to **make the course more visible 🤗**. Star the repo ## Content The course is divided into 4 units. These will take you from **the basics of agents to a final assignment with a benchmark**. Sign up here (it's free) 👉 https://bit.ly/hf-learn-agents You can access the course here 👉 https://hf.co/learn/agents-course | Unit | Topic | Description | |---------|----------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------| | 0 | [Welcome to the Course](https://huggingface.co/learn/agents-course/en/unit0/introduction) | Welcome, guidelines, necessary tools, and course overview. | | 1 | [Introduction to Agents](https://huggingface.co/learn/agents-course/en/unit1/introduction) | Definition of agents, LLMs, model family tree, and special tokens. | | 1 Bonus | [Fine-tuning an LLM for Function-calling](https://huggingface.co/learn/agents-course/bonus-unit1/introduction) | Learn how to fine-tune an LLM for Function-Calling | | 2 | [Frameworks for AI Agents](https://huggingface.co/learn/agents-course/unit2/introduction) | Overview of `smolagents`, `LangGraph` and `LlamaIndex`. | | 2.1 | [The Smolagents Framework](https://huggingface.co/learn/agents-course/unit2/smolagents/introduction) | Learn how to build effective agents using the `smolagents` library, a lightweight framework for creating capable AI agents. | | 2.2 | [The LlamaIndex Framework](https://huggingface.co/learn/agents-course/unit2/llama-index/introduction) | Learn how to build LLM-powered agents over your data using indexes and workflows using the `LlamaIndex` toolkit. | | 2.3 | [The LangGraph Framework](https://huggingface.co/learn/agents-course/unit2/langgraph/introduction) | Learn how to build production-ready applications using the `LangGraph` framework giving you control tools over the flow of your agent. | | 2 Bonus | [Observability and Evaluation](https://huggingface.co/learn/agents-course/bonus-unit2/introduction) | Learn how to trace and evaluate your agents. | | 3 | [Use Case for Agentic RAG](https://huggingface.co/learn/agents-course/unit3/agentic-rag/introduction) | Learn how to use Agentic RAG to help agents respond to different use cases using various frameworks. | | 4 | [Final Project - Create, Test and Certify Your Agent](https://huggingface.co/learn/agents-course/unit4/introduction) | Automated evaluation of agents and leaderboard with student results. | | 3 Bonus | [Agents in Games with Pokemon](https://huggingface.co/learn/agents-course/bonus-unit3/introduction) | Explore the exciting intersection of AI Agents and games. | ## Prerequisites - Basic knowledge of Python - Basic knowledge of LLMs ## Contribution Guidelines If you want to contribute to this course, you're welcome to do so. Feel free to open an issue or join the discussion in the [Discord](https://discord.gg/UrrTSsSyjb). For specific contributions, here are some guidelines: ### Small typo and grammar fixes If you find a small typo or grammar mistake, please fix it yourself and submit a pull request. This is very helpful for students. ### New unit If you want to add a new unit, **please create an issue in the repository, describe the unit, and why it should be added**. We will discuss it and if it's a good addition, we can collaborate on it. ## Citing the project To cite this repository in publications: ```bibtex @misc{agents-course, author = {Burtenshaw, Ben and Thomas, Joffrey and Simonini, Thomas and Paniego, Sergio}, title = {The Hugging Face Agents Course}, year = {2025}, howpublished = {\url{https://github.com/huggingface/agents-course}}, note = {GitHub repository}, } ``` --- ### Overview (`units/en/unit1/README.md`) # Table of Contents You can access Unit 1 on hf.co/learn 👉 here --- ### Overview (`units/es/unit1/README.md`) # Tabla de Contenidos Puedes acceder a la Unidad 1 en hf.co/learn 👉 aquí --- ### Overview (`units/fr/unit1/README.md`) # Table des matières Vous pouvez accéder à l'Unité 1 sur hf.co/learn 👉 ici --- ### Overview (`units/ko/unit1/README.md`) # 컨텐츠 목록 👉 여기에서 Unit1을 접속하실 수 있습니다. --- ### Overview (`units/ru-RU/unit1/README.md`) # Table of Contents You can access Unit 1 on hf.co/learn 👉 here --- ### Overview (`units/zh-CN/unit1/README.md`) # 目录 您可以在 hf.co/learn 上访问第 1 单元 👉 此处 --- ### Overview (`units/en/unit2/llama-index/README.md`) # Table of Contents This LlamaIndex frame outline is part of unit 2 of the course. You can access the unit 2 about LlamaIndex on hf.co/learn 👉 here | Title | Description | | --- | --- | | [Introduction](introduction.mdx) | Introduction to LlamaIndex | | [LlamaHub](llama-hub.mdx) | LlamaHub: a registry of integrations, agents and tools | | [Components](components.mdx) | Components: the building blocks of workflows | | [Tools](tools.mdx) | Tools: how to build tools in LlamaIndex | | [Quiz 1](quiz1.mdx) | Quiz 1 | | [Agents](agents.mdx) | Agents: how to build agents in LlamaIndex | | [Workflows](workflows.mdx) | Workflows: a sequence of steps, events made of components that are executed in order | | [Quiz 2](quiz2.mdx) | Quiz 2 | | [Conclusion](conclusion.mdx) | Conclusion | --- ### Overview (`units/es/unit2/llama-index/README.md`) # Índice de Contenidos Este marco de trabajo de LlamaIndex es parte de la unidad 2 del curso. Puedes acceder a la unidad 2 sobre LlamaIndex en hf.co/learn aquí | Título | Descripción | | --- | --- | | [Introducción](introduction.mdx) | Introducción a LlamaIndex | | [LlamaHub](llama-hub.mdx) | LlamaHub: un registro de integraciones, agentes y herramientas | | [Componentes](components.mdx) | Componentes: los bloques de construcción de workflows | | [Herramientas](tools.mdx) | Herramientas: cómo construir herramientas en LlamaIndex | | [Cuestionario 1](quiz1.mdx) | Cuestionario 1 | | [Agentes](agents.mdx) | Agentes: cómo construir agentes en LlamaIndex | | [Flujos de Trabajo](workflows.mdx) | Flujos de Trabajo: una secuencia de pasos, eventos compuestos por componentes que se ejecutan en orden | | [Cuestionario 2](quiz2.mdx) | Cuestionario 2 | | [Conclusión](conclusion.mdx) | Conclusión | --- ### Overview (`units/fr/unit2/llama-index/README.md`) # Table des matières Ce plan de chapitre LlamaIndex fait partie de l'unité 2 du cours. Vous pouvez accéder à l'unité 2 sur LlamaIndex sur hf.co/learn 👉 ici | Titre | Description | | --- | --- | | [Introduction](introduction.mdx) | Introduction à LlamaIndex | | [LlamaHub](llama-hub.mdx) | LlamaHub : un registre d'intégrations, d'agents et de tools | | [Components](components.mdx) | Components : les blocs de construction des workflows | | [Tools](tools.mdx) | Tools : comment construire des tools dans LlamaIndex | | [Quiz 1](quiz1.mdx) | Quiz 1 | | [Agents](agents.mdx) | Agents : comment construire des agents dans LlamaIndex | | [Workflows](workflows.mdx) | Workflows : une séquence d'étapes, d'événements composés de components qui sont exécutés dans l'ordre | | [Quiz 2](quiz2.mdx) | Quiz 2 | | [Conclusion](conclusion.mdx) | Conclusion | --- ### Overview (`units/ko/unit2/llama-index/README.md`) # 목차 이 LlamaIndex 프레임 개요는 강의 2단원의 일부입니다. hf.co/learn에서 LlamaIndex에 대한 2단원에 접근할 수 있습니다 👉 여기 | 제목 | 설명 | | --- | --- | | [소개](introduction.mdx) | LlamaIndex 소개 | | [LlamaHub](llama-hub.mdx) | LlamaHub: 통합, 에이전트, 툴의 레지스트리 | | [구성 요소](components.mdx) | 구성 요소: 워크플로우의 빌딩 블록 | | [툴](tools.mdx) | 툴: LlamaIndex에서 툴을 구축하는 방법 | | [퀴즈 1](quiz1.mdx) | 퀴즈 1 | | [에이전트](agents.mdx) | 에이전트: LlamaIndex에서 에이전트를 구축하는 방법 | | [워크플로우](workflows.mdx) | 워크플로우: 순서대로 실행되는 구성 요소로 만들어진 단계, 이벤트의 시퀀스 | | [퀴즈 2](quiz2.mdx) | 퀴즈 2 | | [결론](conclusion.mdx) | 결론 | --- ### Overview (`units/zh-CN/unit2/llama-index/README.md`) # 目录 此 LlamaIndex 框架大纲是课程第 2 单元的一部分。您可以在 hf.co/learn 上访问有关 LlamaIndex 的第 2 单元 👉 这里 | 标题 | 描述 | | -------------------------------- | ------------------------------------------------------------------------------------ | | [介绍](introduction.mdx) | LlamaIndex 简介 | | [LlamaHub](llama-hub.mdx) | LlamaHub：集成、智能体和工具注册表 | | [组件](components.mdx) | 组件：工作流的构件 | | [工具](tools.mdx) | 工具：如何在 LlamaIndex 中构建工具 | | [测验 1](quiz1.mdx) | 测验 1 | | [智能体](agents.mdx) | 智能体：如何在 LlamaIndex 中建立智能体 | | [工作流](workflows.mdx) | 工作流：由按顺序执行的组件组成的一系列步骤和事件 | | [测验 2](quiz2.mdx) | 测验 2 | | [结论](conclusion.mdx) | 结论 | --- --- METRICS --- - Files Extracted: 12 - Estimated Token Budget: ~2846 tokens - Canonical Reference: https://codewiki.google/github.com/huggingface/agents-course