Agents Course documentation
Quick Self-Check (ungraded)
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
Introduction to LLamaIndexIntroduction to LlamaHubWhat are Components in LlamaIndex?Using Tools in LlamaIndexQuick Quiz 1Using Agents in LlamaIndexCreating Agentic Workflows in LlamaIndexQuick Quiz 2Conclusion
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
Quick Self-Check (ungraded)
What?! Another Quiz? We know, we know, … 😅 But this short, ungraded quiz is here to help you reinforce key concepts you’ve just learned.
This quiz covers agent workflows and interactions - essential components for building effective AI agents.
Q1: What is the purpose of AgentWorkflow in LlamaIndex?
Q2: What object is used for keeping track of the state of the workflow?
Q3: Which method should be used if you want an agent to remember previous interactions?
Q4: What is a key feature of Agentic RAG?
Got it? Great! Now let’s do a brief recap of the unit!
Update on GitHub