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AI SKILLS · Databases & data

Test data pipelines with AI

Use AI to draft transformations and data tests, then confirm they catch real faults.

Applied

Why this skill matters

A broken pipeline can keep running and quietly feed wrong numbers into every report.

What to learn

  • Define freshness, uniqueness and null checks for key tables
  • Draft tests with AI and review what they miss
  • Introduce a known fault and confirm a test fails

Before you begin

SQL and basic pipeline concepts

PUT IT INTO PRACTICE

Build a work sample

Build one small transformation with tests on sample data, then add duplicate and missing rows and check that the tests catch them.

Evidence of progress

A pipeline with tests, plus a record of the faults they caught.

This exercise is an original ToolGrail suggestion. Use public, synthetic, or approved data.

LEARNING RESOURCE

Add data tests to your DAG

dbt Developer Hub · Resource checked 2026-11-04

Open learning resource ↗

This may be documentation, a framework, or a training path. Product access, accounts, or paid licenses may be needed for hands-on exercises.

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Skill descriptions, exercises, and priorities are editorial. They are not professional qualifications or guarantees of employment. Read our skills methodology →

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