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Video course · 14 chapters · 41 min · certificate

Pydantic AI for Production: Build Type-Safe LLM Agents

A hands-on crash course in Pydantic AI: agents, structured output, streaming, message history, instructions, tools, dependency injection, toolsets, retries, built-in web search and code execution, embeddings and MCP.

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What you'll learn

  • Set up Pydantic AI and run a first agent
  • Return validated structured output
  • Stream responses and manage message history
  • Add tools with dependency injection
  • Use toolsets, timeouts and built-in tools
  • Work with embeddings and MCP servers

Chapters

14 chapters · 41:14
  1. 5:11 01Setup Members Intro and environment setup What Pydantic AI is and how to install it with your API keys.
  2. 2:57 02Agents Members A simple agent Creating an Agent with a model and running a prompt.
  3. 1:51 03Output Members Structured output Getting validated Pydantic models back instead of plain text.
  4. 1:48 04Streaming Members Streaming responses Streaming output instead of waiting for the full answer.
  5. 2:15 05Memory Members Message history Passing previous messages so the agent keeps context.
  6. 2:00 06Prompts Members Instructions versus system prompts The difference between instructions and system prompts in multi-turn runs.
  7. 3:16 07Tools Members Tool use Giving the agent Python functions it can call.
  8. 10:38 08Dependencies Members Dependency injection and context Passing context like a user or database connection into tools via deps.
  9. 2:14 09Tools Members Toolsets Grouping tools into reusable toolsets.
  10. 1:35 10Reliability Members Timeouts and retries Setting tool timeouts and retries for reliability.
  11. 1:52 11Built-ins Members Built-in web search Using the built-in web search tool.
  12. 1:22 12Built-ins Members Built-in code execution Letting the agent execute Python code to answer questions.
  13. 1:01 13Embeddings Members Embedding models Creating embeddings: vectors in N-dimensional space.
  14. 3:14 14MCP Members MCP integration Connecting MCP servers to a Pydantic AI agent, and wrap-up.

Jobs this course suits

Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.

AI EngineersSoftware EngineersBackend DevelopersSoftware Developers