Agents Course documentation
Conclusion
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
Conclusion
Congratulations on finishing this first Bonus Unit 🥳
You’ve just mastered understanding function-calling and how to fine-tune your model to do function-calling!
If we have one piece of advice now, it’s to try to fine-tune different models. The best way to learn is by trying.
In the next Unit, you’re going to learn how to use state-of-the-art frameworks such as smolagents, LlamaIndex and LangGraph.
Finally, we would love to hear what you think of the course and how we can improve it. If you have some feedback then, please 👉 fill this form