Learn how to develop production-ready AI agents using PydanticAI in this 54-minute webinar that combines theoretical knowledge with hands-on practice. Starting with the fundamentals of agentic applications and AI agents, explore recent developments in AI agentic systems before diving into PydanticAI's architecture, features, and core components. Follow along with a comprehensive live coding session demonstrating how to build a Pydantic agent from scratch, implement structured outputs, and develop a research agent. Discover techniques for saving outputs, integrating markdown, and understand how PydanticAI compares to other frameworks like LangChain. Conclude with a Q&A session addressing common implementation challenges and best practices for creating intelligent, scalable, and secure AI applications.
Building Production-Ready AI Agents with PydanticAI
Overview
Syllabus
0:00 - 1:35 Introduction to Agentic Applications
2:00 - 4:10 Understanding AI Agents
4:15 - 8:06 Recent Developments in AI Agentic Systems
8:12 - 10:04 Introduction to Pydantic AI
10:10 - 12:16 Pydantic Features & Capabilities
12:29 - 14:12 Core Components of a Pydantic Agent
14:33 - 26:17 Live Coding Session: Building a Pydantic Agent
26:22 - 32:42 Structured Outputs in Pydantic
32:49 - 41:09 Developing a Research Agent with Pydantic
41:15 - 45:07 Saving Outputs & Markdown Integration
45:12 - 50:12 Comparison with LangChain & Other Frameworks
50:18 - 53:49 Q&A Session
Taught by
Data Science Dojo
