Workshop

dbt Enablement + AIAD

Constructing an end-to-end dbt pipeline and scaling trustworthy AI with agentic data engineering.
A 1- or 2-day intensive for data teams ready to move beyond basic transformations. Day 1 builds a complete, production-grade dbt pipeline. Day 2 puts AI to work on top of it — using Model Context Protocol (MCP), dbt Copilot, and agentic CI/CD to reduce development timelines by up to 70%.
Duration
1 day (dbt only) or 2 days (dbt + AIAD)
Format
In-person or virtual
Cadence

One time

What you walk out with

dbt enablement

  • Project setup, environments, and Git workflows connected to Snowflake
  • Model building with sources, seeds, snapshots, and incremental materializations
  • Jinja templating, custom macros, and reusable SQL patterns
  • Automated testing, CI/CD pipelines, and Slim CI for production deployments

AIAD enablement (optional add-on)

  • dbt Copilot for automated documentation and transformation logic
  • Model Context Protocol (MCP) with Claude Code (Agentic Platform) for local engineering assist
  • AI-driven code review and platform agents
  • Talk to Your Data (TTYD): business-grounded query experiences that return consistent answers

Who should attend

  • Analytics Engineers adopting or scaling dbt
  • Data Engineers building or modernizing transformation pipelines
  • Warehouse Administrators on Snowflake or other cloud platforms
  • Data & Analytics Leaders evaluating AI-augmented data engineering

Why phData

This workshop is led by phData experts, practitioners who build these pipelines for enterprise clients. Build exercises run against your warehouse and Git setup, not a generic demo environment.

Anthropic

Preferred Partner

Snowflake Elite
7× Snowflake Partner of the Year
AWS Premier

2025 Design Partner of the Year

dbt Visionary
4× dbt Partner of the Year

Frequently asked questions

What is the dbt enablement workshop?

It is a one- or two-day hands-on workshop from phData for data teams ready to move beyond basic dbt transformations. Day one builds a complete, production-grade dbt pipeline. Day two, the optional AI-assisted development (AIAD) add-on, puts AI to work on top of that pipeline with MCP, dbt Copilot, and agentic CI/CD.

What is AI-assisted development (AIAD)?

AI-assisted development (AIAD) is the discipline of using AI to assist with software and data engineering work, from chat and code completion to agents that complete multi-step tasks, an approach known as agentic data engineering when applied to data pipelines. In this workshop, day two applies AIAD to your dbt pipeline with dbt Copilot, MCP with Claude Code, AI-driven code review, platform agents, and agentic CI/CD.

What is Model Context Protocol (MCP)?

Model Context Protocol (MCP) is an open standard, introduced by Anthropic, that lets AI applications connect to external tools and data sources. In the workshop, attendees use MCP with Claude Code for local engineering assistance. phData is an Anthropic Preferred Partner.

What is dbt Copilot?

dbt Copilot is an AI assistant from dbt that helps generate documentation and transformation logic. The workshop shows how to use it to automate documentation and transformation work.

What does the dbt enablement portion cover?

Day one covers project setup, environments, and Git workflows connected to Snowflake. It also covers model building with sources, seeds, snapshots, and incremental materializations, Jinja templating and custom macros, and automated testing, CI/CD pipelines, and Slim CI for production deployments.

Who should attend, and does it run in our own environment?

The workshop is for analytics engineers, data engineers, warehouse administrators, and data and analytics leaders evaluating AI-augmented data engineering. Build exercises run against your warehouse and Git setup rather than a generic demo environment. phData is a dbt Visionary Partner and a 4× dbt Partner of the Year.

Request a workshop

Ready to build?

Tell us about your team and we’ll get something scheduled.