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    0.2 Welcome
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    0.3 Why So Many Frameworks
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    0.4 Course Structure
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    0.5 Requirements
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    0.6 Breaking Changes
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    1.0 UV
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    1.1 PyProject
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    1.2 Jupyter
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    2.0 Setup
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    2.1 Your First AI Response
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    2.2 Your First AI Agent
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    2.3 Adding Memory
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    2.4 Adding Tools
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    2.5 Adding Function Calling
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    2.6 Tool Results
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    2.7 Conclusions
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    3.0 Introduction
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    3.1 Your First CrewAI Agent
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    3.2 Custom Tools
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    3.3 News Reader Tasks and Agents
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    3.4 News Reader Crew
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    3.5 Conclusions
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    4.0 Introduction
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    4.1 Agents and Tasks
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    4.2 Context And Structured Outputs
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    4.3 Firecrawl Tool
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    4.4 Knowledge Sources
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    4.5 Conclusions
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    5.0 Introduction
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    5.1 Your First Flow
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    5.2 Content Pipeline Flow
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    5.3 Refinement Loop
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    5.4 LLMs and Agents
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    5.5 Adding Crews To Flows
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    5.6 Conclusions
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    5.7 Outro
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    6.0 Introducton
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    6.1 Email Optimizer Team
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    6.2 Deep Research
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    6.3 Conclusions
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    7.0 Introduction
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    7.1 Agents and Runners
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    7.2 Stream Events
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    7.3 Session Memory
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    7.4 Handoffs
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    7.5 Viz and Structured Outputs
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    7.6 Tracing
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    7.7 Conclusions
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    7.8 Welcome To Streamlit
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    7.9 Streamlit Data Flow
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    8.0 Chat UI
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    8.1 Conversation History
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    8.2 Web Search Tool
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    8.3 File Search Tool
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    8.4 Multi Modal Agent
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    8.5 Image Generation Tool
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    8.6 Code Interpreter Tool
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    8.7 Hosted MCP Tool
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    8.8 Local MCP Server
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    8.9 Conclusions
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    9.0 Introduction
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    9.1 Context Management
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    9.2 Dynamic Instructions
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    9.3 Input Guardrails
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    9.4 Handoffs
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    9.5 Handoff UI
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    9.6 Hooks
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    9.7 Output Guardrails
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    9.8 Voice Agent I
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    9.9 Voice Agent II
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    10.0 Introduction
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    10.1 ADK Web
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    10.2 Tools and Subagents
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    10.3 Agent Architecture
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    10.4 Agent State
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    10.5 Artifacts
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    11.0 Introduction
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    11.1 Content Planner Agent
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    11.2 Prompt Builder Agent
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    11.3 Image Builder Agent
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    11.4 Audio Narration Agent
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    11.5 Video Assembly
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    11.6 Callbacks
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    11.7 Conclusions
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    12.0 Introduction
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    12.1 LoopAgent
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    12.2 Agent Evaluations
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    12.3 API Server
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    12.4 Sever Sent Events
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    12.5 Invocation Flow
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    12.6 Runner
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    12.7 Deployment to VertexAI
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    13.0 Introduction
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    13.1 Your First Graph
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    13.2 Graph State
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    13.3 Recap
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    13.4 Multiple Schemas
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    13.5 Reducer Functions
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    13.6 Node Caching
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    13.7 Conditional Edges
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    13.8 Send API
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    13.9 Command
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    14.0 LangGraph Chatbot
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    14.1 Tool Nodes
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    14.2 Memory
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    14.3 Human-in-the-loop
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    14.4 Time Travel
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    14.5 DevTools
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    15.0 Introduction
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    15.1 Audio Extraction and Transcription
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    15.2 Summarizer Nodes
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    15.3 Thumbnail Sketcher Nodes
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    15.4 Human Feedback
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    15.5 HD Thumbnail Generation
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    16.0 Introduction
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    16.1 Prompt Chaining Architecture
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    16.2 Prompt Chaining Gate
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    16.3 Routing Architecture
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    16.4 Parallelization Architecture
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    16.5 Orchestrator-workers Architecture
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    16.6 Conclusions
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    17.0 Introduction
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    17.1 Email Graph
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    17.2 Pytest
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    17.3 Testing Nodes
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    17.4 AI Nodes
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    17.5 Testing AI Nodes
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    17.6 Testing AI Responses
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    18.0 Introduction
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    18.1 Network Architecture
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    18.2 Network Visualization
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    18.3 Supervisor Architecture
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    18.4 Supervisor As Tools
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    18.5 Prebuilt Agents
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    19.0 Introduction
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    19.1 Classification Agent
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    19.2 Feynman Agent
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    19.3 Quiz Agent
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    19.4 Conclusions
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    20.0 Introduction
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    20.1 A2A Using ADK
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    20.2 A2A For Dummies
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    20.3 RemoteA2aAgent
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    20.4 FastAPI Server
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    20.5 SendMessageResponse
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    21.0 Introduction
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    21.1 Conversations API
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    21.2 Sync Responses
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    21.3 StreamingResponse
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    21.4 Deployment
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    21.5 Conclusions