Agents Course

Unit 0. Welcome to the course

Live 1. How the course works and Q&A

Unit 1. Introduction to Agents

Unit 2. Frameworks for AI Agents

Unit 2.1 The smolagents framework

Unit 2.2 The LlamaIndex framework

Unit 2.3 The LangGraph framework

Unit 3. Use Case for Agentic RAG

Unit 4. Final Project - Create, Test, and Certify Your Agent

Bonus Unit 1. Fine-tuning an LLM for Function-calling

Bonus Unit 2. Agent Observability and Evaluation

Bonus Unit 3. Agents in Games with Pokemon

Join the Hugging Face community

and get access to the augmented documentation experience

Collaborate on models, datasets and Spaces

Faster examples with accelerated inference

Switch between documentation themes

to get started

Conclusion

Congratulations on finishing the LangGraph module of this second Unit! 🥳

You’ve now mastered the fundamentals of building structured workflows with LangGraph which you will be able to send to production.

This module is just the beginning of your journey with LangGraph. For more advanced topics, we recommend:

Exploring the official LangGraph documentation
Taking the comprehensive Introduction to LangGraph course from LangChain Academy
Build something yourself !

In the next Unit, you’ll now explore real use cases. It’s time to leave theory to get into real action !

We would greatly appreciate your thoughts on the course and suggestions for improvement. If you have feedback, please 👉 fill this form

Good Sir/Madam! 🎩🦇

-Alfred-