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MASTERCLASS

Designing AI Skills for Quality Engineering – SDLC Workflows You Trust

AI is rapidly entering every stage of software delivery, but too often it arrives as a clever prompt instead of a reliable system. In this 90-minute masterclass, we will explore how to design AI-powered SDLC workflows with quality engineered in from the start. Rather than treating AI as a shortcut, we will treat it as a workflow enabler that needs boundaries, verification and measurable success criteria.

This masterclass is designed for a mixed audience of testing and quality professionals across experience levels. Whether you are hands-on in delivery or shaping engineering practices across teams, you will leave with a practical model for designing AI workflows that protect correctness, reduce risk, and amplify quality thinking across the SDLC.


What you’ll learn


How to design AI workflows as systems, not prompts. Attendees will learn the anatomy of a strong AI workflow: structured metadata, phased execution, explicit constraints, separated knowledge and defined success criteria.


How to build quality gates into AI-powered delivery.


How to identify safe and high-impact starting points


What you’ll need


Bring your laptop and your own Ai assistant


Session details

Track 3

15:15h - 16:55h · May 28th

90 min masterclass + 5 min Q&A

AI Testing

General Level

Masterclass in English

andrei_contan

Andrei Contan

Andrei is helping teams build software smarter, think clearer, and define their processes moving from ‘let’s write code’ to ‘how do we know we’re building something valuable?’ He is passionate about how organisations work, why some decisions fail and how we can redesign systems not just switch tools.