[Free] Introduction To Agent Framework Pydantic Ai
How to use Pydantic with LLMs ? – Free Course
What you’ll learn
- Introduction to Agent Framework Pydantic AI
- Pydantic AI/Hello World Example
- Using PydanticAI to build a support agent for a bank
- Instrumentation with Pydantic Logfire
Requirements
- Python
Description
Course Description: “Introduction to Agent Framework Pydantic AI / How to Pydantic with LLMs ?”
Discover the power of PydanticAI, a Python-based agent framework designed to simplify the development of intelligent applications with large language models (LLMs). This course is your beginner-friendly introduction to PydanticAI, ideal for developers and AI enthusiasts eager to explore how to integrate LLMs into real-world projects efficiently.We’ll start by explaining the core concepts of PydanticAI, its advantages over other frameworks, and why it’s a game-changer for building type-safe, production-grade AI applications. You’ll learn how to create intelligent agents with structured response validation, leverage Pydantic’s novel dependency injection system, and manage control flows seamlessly using Python best practices.
Key highlights of the course:
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Overview of PydanticAI’s ecosystem and its integration with popular LLMs like OpenAI, Anthropic, Gemini, and more.
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Building and deploying agents with dynamic system prompts and custom tools.
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Handling dependency injection for robust and testable AI-driven applications.
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Introduction to debugging and monitoring with Pydantic Logfire.
