From Agentic Workflow to Self-Improving Quality Systems

In Module 4 you built agents that do the work. Now you’ll make them learn.There’s a ceiling to any agent that only executes. It doesn’t get better between sprints. It breaks when the UI changes. It can’t tell you what’s likely to fail before you run anything. This module breaks through that ceiling.You’ll learn how automation heals itself when selectors change, how regression selection predicts failures from your own commit history, how 500 test failures collapse into three root causes in minutes, and how test data stays current without anyone remembering to refresh it.And you’ll learn where intelligence needs guardrails — because a prediction model that deprioritizes your checkout flow is a model that will eventually let something serious through.

What you’ll walk away with

A prioritized roadmap for making your own agents intelligent — ranked by pain level, feasibility, and expected return. Plus the operational KPIs to demonstrate it’s working.

Who this is for

QE professionals and SDETs carrying real automation maintenance pain, flaky test noise, or regression suites that no longer fit the release window.