AI-Enabled
Quality Engineer.
Move beyond casually using AI tools and learn to build repeatable AI-assisted QA workflows you can use at work and demonstrate in your career.
Build a QA workflow that uses AI with purpose.
Four modules. One connected system.
AI for Quality Engineering
Build the foundation: prompting, context, validation and practical AI use inside QA work.
AI-Assisted Test Design & Automation
Move from requirements to scenarios, edge cases, test data and automation support using repeatable workflows.
Debugging, Analysis & Quality Intelligence
Use AI to investigate failures, interpret logs, summarize quality signals and support release decisions.
AI Agents & the Modern QA Workflow
Understand tool-using agents, MCP/RAG concepts and how agentic patterns can fit into Quality Engineering.
Leave with evidence, not just notes.
35 professionals. Built to stay interactive.
The founding cohort is intentionally limited so live sessions can remain practical, reviewable and implementation-led.
Program details are shared after the readiness assessment so your application is connected to your QA profile and goals.