Virtual dbt + Snowflake hands-on lab

Build a production-ready AI agent grounded in trusted data

🌐 Global friendly sessions: July 8 & 9

In this virtual session you'll build a complete pipeline — from raw data through dbt transformations to a Snowflake Cortex agent that answers natural language questions and takes action. Not a demo. A production-style architecture you can take back to your team.

By the end, you'll have:

• A dbt project running in the dbt platform, with tested, documented models and a Snowflake Semantic View
• A Cortex agent wired to that semantic layer, capable of answering questions and calling custom functions
• A working mental model for how dbt and Snowflake fit together in an AI-first data stack

AI agents are becoming the primary consumers of data. But agents are only as reliable as the data beneath them — and most pipelines weren't built with that in mind.

dbt brings version control, testing, and documentation to your transformations. Snowflake Cortex activates that governed foundation for AI. Together, they let you build agents that don't hallucinate answers from a black box — they query data you've already tested and trust.

Luis Leon

Partner Solutions Architect