GenAI for QA: Automate Software Testing & Code Reviews & AI

About this course

“This course contains the use of artificial intelligence.”

Turn GenAI into a reliable QA copilot—without blindly trusting its output.

This practical course teaches software testers, QA engineers, SDETs, developers, and QA leaders how to apply generative AI throughout the software quality workflow. You will move from vague requirements to test strategy, test cases, automation drafts, non-functional coverage, code reviews, and decision-ready quality reporting.

Who this course is for

Manual QA engineers who want to work faster and expand into AI-assisted quality practices

Test automation engineers using Selenium, Playwright, Cypress, API testing, or similar toolsSDETs and developers who want more effective testing and code-review workflowsQA leads who need consistent, reviewable AI-enabled quality processes

Product and delivery professionals who need clearer release-risk reporting

What you will learn

Create safe, structured prompts for QA work

Turn unclear requirements into a risk-based test strategy

Generate and verify functional, negative, boundary, and exploratory test cases

Identify gaps, assumptions, duplicates, and missing acceptance criteria

Draft maintainable UI and API automation starters with GenAICreate non-functional test ideas for performance, security, accessibility, privacy, and reliability

Review pull requests for defects, missing tests, maintainability, and quality risks

Convert testing evidence into stakeholder-ready quality reports

Apply the Verify-Trace-Approve framework to AI-generated work

Build a portfolio-ready Quality Evidence PackRequirementsBasic understanding of software testing or QAFamiliarity with user st

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