Automation that engineering teams trust.
AI-Augmented Quality Engineering
Quality engineering is now a software discipline. You write automation code, build reliable suites, wire them into pipelines, and use AI tooling to reduce maintenance load rather than to replace judgement.
What you learn
Programming fundamentals and how software is delivered.
Automated UI and API suites written as real code.
Pipelines, reporting and AI-assisted maintenance.
Flake control, coverage strategy and release readiness.
A published automation framework and review walkthrough.
Protected programme depth
Illustrative redaction. Detailed module content, lab briefs and assessments are shared with enrolled candidates.
Technologies
Roles this prepares you for
- Automation Engineer
- QA Engineer
- SDET
- Quality Engineer
What you leave with
- An automation framework you designed, not a copied template
- Suites running in a pipeline with readable reporting
- A clear account of what you chose not to automate, and why
Duration & fees
Confirmed during consultation, based on your entry point and cohort. Published figures will appear here once finalised.
Admissions & fees →Questions about this programme
It is the most direct one. Your domain knowledge stays valuable; the programme adds the engineering skills that automation roles are assessed on.
AI is changing what testers spend time on. The programme is built around the parts that are becoming more valuable: architecture, coverage strategy and pipeline ownership.
One conversation
changes the route.
Tell us where you are. We'll tell you honestly what the path looks like from here.