$ avoxy learn / claude-code-for-test-data-engineersenrolling now

Claude Code for Test Data Engineers

Ship production-quality test data using Claude Code as the orchestrator.

Outcomes

What you'll ship by the end.

Concrete artefacts you walk away with - not 'understanding' or 'familiarity.'

→A data catalogue with semantic types, PII tiers, and distribution fingerprints

→A schema- and distribution-aware generator that ships in CI

→A subsetting + privacy pipeline that survives a compliance review

→A validation harness that catches statistical and semantic drift

→Code your senior engineer would actually approve

This course is the distillation of seven years of test-data engineering at an enterprise-grade test automation company, retooled around Claude Code. We focus on the work where Claude Code earns its keep: discovery, distribution-matching, scenario synthesis, and semantic validation - the reasoning tasks that generic data tools can't touch.

It is not an introduction to LLMs. We assume you've used Claude Code before. We don't waste your time on prompt-engineering basics - we teach the production architecture choices that distinguish a demo from a system that holds up under enterprise scrutiny.

Every lesson ends with a build exercise and a diff-and-refine loop - because Claude Code will get things wrong, and the skill is closing the loop fast. The capstone is a full pipeline you can drop into your CI.

$ ls lessons/

The curriculum.

Each module ends with a build exercise. The capstone ties everything together.

Introduction & lab tour - the four canonical test-data workflows and where Claude Code earns its keep

Setting up the target database with Claude Code - schema, migrations, sensible defaults

Profile, catalogue, classify - schema and relationship discovery, semantic types, PII tiers, distribution capture

Working with realistic schemas - context window management, MCP as memory, schema chunking, subagent fan-out

Schema- and distribution-aware generation - first-cut synthetic data that matches type and shape

Subsetting production - referential-integrity-preserving slices and the ghost-record problem

Privacy strategies - the spectrum from masking to pseudonymisation to synthetic twins

Scenario data - natural language to coherent multi-table situations

Breaking the validation layer - edge cases, hostile inputs, and logically impossible data

Validation - distribution drift, semantic drift, and the eval harness

Capstone - fixtures and CI on a realistic enterprise schema

$ whoami

James Walker, PhD

PhD in Machine Learning. Bootstrapped a test automation company from a PhD thesis to £5M ARR - 7 years, 6 countries, 250+ enterprise integrations. Now teaching the architectural playbook that worked, retooled around Claude Code.

500+ academic citations · founder · principal engineer

Questions

Frequently asked.

Is this for me?: If you ship code in a QA-adjacent role and you've used Claude Code at least once, yes. If you've never written a line of code or never used a CLI, this isn't the right starting point - look at an introductory Claude Code tutorial first, then come back.
What if I'm not technical enough?: The course assumes you can read code and understand a CI pipeline. You don't need to be a 10x engineer - we've taught manual testers, automation engineers, and platform leads. If you can write a basic SQL query and follow a YAML file, you'll keep up.
Is this a live cohort or self-paced?: Self-paced. You enrol once, watch the videos in your own time, and have lifetime access including version updates when Claude Code changes.
Do I get personalised feedback?: Yes - on the capstone project. Submit your solution by email and you'll get written feedback directly from James within 5 working days.
What happens when Claude Code updates?: We refresh affected lessons and publish version-update notes. Your access includes all updates - no upgrade fee.
Can my company expense it?: Yes. We'll send a VAT invoice to whatever billing address you enter at checkout.
Is there a refund policy?: 30-day no-questions refund. If the course doesn't deliver what's promised, email us.

Enrolment

Pricing on request

Lifetime access · personalised enrolment

· 11 video lessons
· ~7 hours of video + exercises
· Build exercises + capstone project
· Lifetime access including version updates
· Personalised feedback from James on capstone submissions

Email to enrol

Stuck on something too big for a course?

If you need an architecture, not a curriculum, the lab takes on 2-week audits and 4-week sprints.

View the Audit View the Sprint