Write your First Agentic AI application in PydanticAI
Details
Description:
Are you curious about Agentic AI and want to build your own AI agent from scratch?
In this beginner-friendly session, we’ll explore PydanticAI, one of the most practical and structured frameworks to get started with AI agents in Python.
PydanticAI simplifies how you define, validate, and run agents—making it ideal for developers who want a clear, reliable way to build AI-powered applications. With its roots in Pydantic (the popular Python data validation library), this framework helps you avoid messy prompts and unstructured outputs, giving you typed, predictable, and production-ready agents.
Why PydanticAI?
- ✅ Built on Pydantic, trusted by thousands of Python developers.
- ✅ Ensures structured, validated outputs from LLMs (no more unreliable JSON parsing).
- ✅ Lightweight yet powerful for real-world use cases.
- ✅ Perfect for developers new to AI agents, without overwhelming complexity.
- ✅ Bridges the gap between traditional backend development and next-gen Agentic AI apps.
What you’ll learn in this session:
- What is Agentic AI and why it matters.
- Basics of the PydanticAI framework.
- How to create your first AI agent in Python step by step.
- Demo: A simple agent that retrieves information and processes queries.
- Where to go next — scaling your agents into microservices or enterprise apps.
Who should attend?
- Developers curious about AI.
- Backend engineers looking to integrate LLMs into applications.
- Tech enthusiasts who want to understand AI agents in a hands-on way.
Format:
- 📝 30 min walkthrough & live coding demo.
- ❓ 15 min Q&A session.
- 🎯 By the end, you’ll have written and run your own AI agent!
Speaker:
Abhijeet Mishra – Technical Architect | Agentic AI Specialist | AWS Certified Developer
- 9+ years of experience in Java, Python, Microservices & Cloud.
- Designed & deployed multiple AI-powered platforms and semantic search systems at scale.
- Passionate about helping developers transition into AI-first architectures.