// course curriculum

AI for QA Engineers

Classroom Only — Ashburn / Chantilly Intermediate · 10 chapters · 120 lessons

Use AI for test design, test case generation, automation support, bug analysis, test data, and QA productivity.

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// who it's for

Who this course is for

  • QA engineers, manual testers, and SDETs
  • Test leads modernizing their team's workflow
  • Automation engineers adding AI to their toolkit
// what you'll learn

What you will learn

  • Use AI to design tests and close coverage gaps
  • Generate and maintain test cases and test data
  • Apply AI to automation, debugging, and flaky-test analysis
  • Analyze defects and write clearer, faster bug reports
  • Integrate AI into the QA workflow responsibly and with governance

An instructor-led, classroom-only program delivered in Ashburn / Chantilly. Sessions are hands-on and discussion-driven, with practical exercises throughout so QA professionals apply each technique to realistic testing work alongside their peers.

// syllabus

Curriculum

10 chapters are open to preview. Sign in with Google — free — to expand every chapter into its full lesson-by-lesson detail.

01AI Foundations for Quality EngineeringWhere AI fits in modern QA, and how to use it without losing rigor.12 lessons · Sign-in required
02Prompting for Testing WorkPrompting patterns tuned for requirements, coverage, and test artifacts.12 lessons · Sign-in required
03AI-Assisted Test DesignTurn requirements into well-structured, risk-aware test conditions.12 lessons · Sign-in required
04Test Case Generation with AIGenerate, structure, and maintain test cases that stay traceable.12 lessons · Sign-in required
05AI for Test AutomationUse AI to write, refactor, and debug automation while keeping it maintainable.12 lessons · Sign-in required
06Test Data Generation and ManagementCreate realistic, compliant test data for every scenario.12 lessons · Sign-in required
07Bug Analysis and Reporting with AIWrite clearer reports, triage faster, and analyze defect trends.12 lessons · Sign-in required
08AI in API and Integration TestingDesign and validate API and integration tests with AI support.12 lessons · Sign-in required
09AI for Performance, Accessibility, and Security TestingApply AI to non-functional testing without over-trusting the results.12 lessons · Sign-in required
10Integrating AI into the QA Workflow and GovernanceAdopt AI across the team with standards, review, and measurement.12 lessons · Sign-in required