Join us for a live, instructor-led lab where you’ll go from a raw table to a working AI agent your business users can chat with, all in one session. You’ll use Cortex Code, Snowflake’s AI coding agent, and the prepackaged skills that come with it. These skills handle the heavy lifting so you can focus on the questions your data should answer.
We’ll start with a realistic finance dataset and finish with an agent that answers questions about it in plain English. An instructor will guide each step in your own lab account, and you can ask questions in real time.
In this virtual session, you’ll learn how to:
- Get started with Cortex Code Desktop and connect it to a live Snowflake account in minutes
- Explore unfamiliar data through conversation, using AI to find structure, joins, and the business questions hiding in it
- Turn raw tables into a governed semantic model with a built-in skill that writes, validates, and audits it for you
- Build a Cortex Agent on top of that model with a second prepackaged skill, with no boilerplate required
- Put your agent in front of users in Snowflake CoWork and watch it answer real business questions
- Evaluate and tune your agent so its answers get more accurate over time
- Keep control with approval modes and Snowflake RBAC, so the AI only touches what you allow
Speakers
Peter Siki
Solution Engineer, Snowflake