"Agentic AI" is all the rage, but what does it offer beyond traditional LLM workflows? In this hands-on session we'll answer this question (and more) while leveraging Python's Pydantic AI library to build a start-to-finish agentic AI workflow.
Participants will learn how agents work, when they're useful, how to build custom tools, and options for tracing and evaluation. You'll leave able to write agentic workflows to extract information from texts, do semi-autonomous research, and deliver clean, structured results.
Basic experience with Python/LLMs is helpful but not required. After attending this session, participants will be able to understand when and how to apply agentic approaches to problems. Participants should have Python/Jupyter installed or a Google account for working in the cloud.
Having a GitHub account -
https://github.com - will allow you to easily run the code without anything on your own computer.
Workshop materials can be found at
https://jsoma.github.io/workshop-ai-agents/
