dbt Semantic Layer workshop: From models to metrics

🌐 Global friendly sessions on June 17 & 18

AI agents are powerful — but without a semantic layer underneath, there's nothing enforcing which metric definitions are correct. The dbt semantic layer changes that: metrics are written in code, version-controlled, tested, and governed the same way your data transformations are. Join us for this virtual hands-on workshop to see what that looks like in practice — and how it gives your AI-powered workflows a foundation they can actually rely on

To dive in, you should already be familiar with SQL and dbt. If you've had experience with dbt Core, the dbt platform, or tackled dbt Fundamentals, you're all set.

In this session, you'll work directly with experienced dbt practitioners through demos, active chat, and Q&A. Don't stress if you need more time to keep up — the entire workshop will be recorded so you can revisit the material and complete your project at your own pace.

What you'll learn:

• Hands-on configuration: learn to set up entities, dimensions, and measures within your semantic models, and how to configure and use metrics effectively.
• Querying the Semantic Layer: discover how to query the dbt semantic layer through MCP integrations and AI-powered tools, giving your agents access to trusted, governed metric definitions.
• A touch of dbt Wizard: see how dbt Wizard accelerates semantic model creation, so you spend less time on setup and more time on what your metrics actually need to do.

Jenna Bushspies

Senior Technical Instructor

dbt Labs