- title: Unit 0. Welcome to the course
  sections:
  - local: unit0/introduction
    title: Welcome to the course 🤗
  - local: unit0/onboarding
    title: Onboarding
  - local: unit0/discord101
    title: (Optional) Discord 101
- title: Live 1. How the course works and Q&A
  sections:
  - local: communication/live1
    title: Live 1. How the course works and Q&A
- title: Unit 1. Introduction to Agents
  sections:
  - local: unit1/introduction
    title: Introduction
  - local: unit1/what-are-agents
    title: What is an Agent?
  - local: unit1/quiz1
    title: Quick Quiz 1
  - local: unit1/what-are-llms
    title: What are LLMs?
  - local: unit1/messages-and-special-tokens
    title: Messages and Special Tokens
  - local: unit1/tools
    title: What are Tools?
  - local: unit1/quiz2
    title: Quick Quiz 2
  - local: unit1/agent-steps-and-structure
    title: Understanding AI Agents through the Thought-Action-Observation Cycle
  - local: unit1/thoughts
    title: Thought, Internal Reasoning and the Re-Act Approach
  - local: unit1/actions
    title: Actions, Enabling the Agent to Engage with Its Environment
  - local: unit1/observations
    title: Observe, Integrating Feedback to Reflect and Adapt
  - local: unit1/dummy-agent-library
    title: Dummy Agent Library
  - local: unit1/tutorial
    title: Let’s Create Our First Agent Using smolagents
  - local: unit1/final-quiz
    title: Unit 1 Final Quiz
  - local: unit1/conclusion
    title: Conclusion
- title: Unit 2. Frameworks for AI Agents
  sections:
  - local: unit2/introduction
    title: Frameworks for AI Agents
- title: Unit 2.1 The smolagents framework
  sections:
  - local: unit2/smolagents/introduction
    title: Introduction to smolagents
  - local: unit2/smolagents/why_use_smolagents
    title: Why use smolagents?
  - local: unit2/smolagents/quiz1
    title: Quick Quiz 1
  - local: unit2/smolagents/code_agents
    title: Building Agents That Use Code
  - local: unit2/smolagents/tool_calling_agents
    title: Writing actions as code snippets or JSON blobs
  - local: unit2/smolagents/tools
    title: Tools
  - local: unit2/smolagents/retrieval_agents
    title: Retrieval Agents
  - local: unit2/smolagents/quiz2
    title: Quick Quiz 2
  - local: unit2/smolagents/multi_agent_systems
    title: Multi-Agent Systems
  - local: unit2/smolagents/vision_agents
    title: Vision and Browser agents
  - local: unit2/smolagents/final_quiz
    title: Final Quiz
  - local: unit2/smolagents/conclusion
    title: Conclusion
- title: Unit 2.2 The LlamaIndex framework
  sections:
  - local: unit2/llama-index/introduction
    title: Introduction to LLamaIndex
  - local: unit2/llama-index/llama-hub
    title: Introduction to LlamaHub
  - local: unit2/llama-index/components
    title: What are Components in LlamaIndex?
  - local: unit2/llama-index/tools
    title: Using Tools in LlamaIndex
  - local: unit2/llama-index/quiz1
    title: Quick Quiz 1
  - local: unit2/llama-index/agents
    title: Using Agents in LlamaIndex
  - local: unit2/llama-index/workflows
    title: Creating Agentic Workflows in LlamaIndex
  - local: unit2/llama-index/quiz2
    title: Quick Quiz 2
  - local: unit2/llama-index/conclusion
    title: Conclusion
- title: Unit 2.3 The LangGraph framework
  sections:
  - local: unit2/langgraph/introduction
    title: Introduction to LangGraph
  - local: unit2/langgraph/when_to_use_langgraph
    title: What is LangGraph?
  - local: unit2/langgraph/building_blocks
    title: Building Blocks of LangGraph
  - local: unit2/langgraph/first_graph
    title: Building Your First LangGraph
  - local: unit2/langgraph/document_analysis_agent
    title: Document Analysis Graph
  - local: unit2/langgraph/quiz1
    title: Quick Quiz 1
  - local: unit2/langgraph/conclusion
    title: Conclusion
- title: Unit 3. Use Case for Agentic RAG
  sections:
  - local: unit3/agentic-rag/introduction
    title: Introduction to Use Case for Agentic RAG
  - local: unit3/agentic-rag/agentic-rag
    title: Agentic Retrieval Augmented Generation (RAG)
  - local: unit3/agentic-rag/invitees
    title: Creating a RAG Tool for Guest Stories
  - local: unit3/agentic-rag/tools
    title: Building and Integrating Tools for Your Agent
  - local: unit3/agentic-rag/agent
    title: Creating Your Gala Agent
  - local: unit3/agentic-rag/conclusion
    title: Conclusion
- title: Unit 4. Final Project - Create, Test, and Certify Your Agent
  sections:
  - local: unit4/introduction
    title: Introduction to the Final Unit
  - local: unit4/what-is-gaia
    title: What is GAIA?
  - local: unit4/hands-on
    title: The Final Hands-On
  - local: unit4/get-your-certificate
    title: Get Your Certificate Of Excellence
  - local: unit4/conclusion
    title: Conclusion of the Course
  - local: unit4/additional-readings
    title: What Should You Learn Now?
- title: Bonus Unit 1. Fine-tuning an LLM for Function-calling
  sections:
  - local: bonus-unit1/introduction
    title: Introduction
  - local: bonus-unit1/what-is-function-calling
    title: What is Function Calling?
  - local: bonus-unit1/fine-tuning
    title: Let's Fine-Tune your model for Function-calling
  - local: bonus-unit1/conclusion
    title: Conclusion
- title: Bonus Unit 2. Agent Observability and Evaluation
  sections:
  - local: bonus-unit2/introduction
    title: Introduction
  - local: bonus-unit2/what-is-agent-observability-and-evaluation
    title: What is agent observability and evaluation?
  - local: bonus-unit2/monitoring-and-evaluating-agents-notebook
    title: Monitoring and evaluating agents
  - local: bonus-unit2/quiz
    title: Quiz
- title: Bonus Unit 3. Agents in Games with Pokemon
  sections:
  - local: bonus-unit3/introduction
    title: Introduction
  - local: bonus-unit3/state-of-art
    title: The State of the Art in Using LLMs in Games
  - local: bonus-unit3/from-llm-to-agents
    title: From LLMs to AI Agents
  - local: bonus-unit3/building_your_pokemon_agent
    title: Build Your Own Pokémon Battle Agent
  - local: bonus-unit3/launching_agent_battle
    title: Launching Your Pokémon Battle Agent
  - local: bonus-unit3/conclusion
    title: Conclusion