About this Hands-on Lab

January 21, 2026 | 10am PT / 1pm ET

Learn to build, run, and manage dbt models with AI—from SQL generation to production orchestration. In this 45 minute session, you'll learn how to use AI agents to streamline development, deployment, and maintances. We'll walk through a real analytics project where you'll:

• Use AI agents to generate dbt models, tests, and documentation from natural language
• Deploy and orchestrate your dbt pipeline with automatic dependency management
• Debug and refactor models automatically with agentic incident response

By the end of this lab, you'll have a production-ready dbt project with automated orchestration and the skills to apply agentic workflows to your own analytics engineering.

Who This Is For

This lab is designed for:

• Analytics engineers currently using dbt Core who need better orchestration and automation
• Data engineers managing dbt projects in production who are tired of manual pipeline maintenance
• dbt users curious about using AI to accelerate both development and operations

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