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AI for QA Engineers

Free

A practical course for working QA engineers who want to use AI to test faster and more thoroughly. This course starts beginner-friendly and builds to intermediate. The first two modules assume no prior AI experience and are accessible to any QA engineer. Modules 3 to 5 introduce automation code generation, debugging, and root cause analysis, where basic familiarity with a test framework helps. You will learn to generate test cases from requirements, find edge cases, write BDD scenarios, produce automation code, debug failing tests, write better bug reports, and create documentation in a fraction of the time. You bring the QA knowledge; this course adds the AI layer.

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Complete lessons in order to unlock the next — structured progression.

AI Basics for QA Engineers

Understand what AI changes for QA work, which tools are worth knowing, and how to write prompts that produce useful, specific output for testing tasks.

  1. 1What Ai Means For Qa EngineersTutorial
  2. 2How To Prompt Ai For Qa WorkTutorial
  3. 3Ai Basics CheckQuiz

Test Case Design with AI

Use AI to generate test cases from requirements, discover edge cases and coverage gaps, and write BDD scenarios in Gherkin. This module turns AI into a systematic test design partner.

  1. 4Generate Test Cases From Requirements With AiTutorial
  2. 5Find Edge Cases And Coverage Gaps With AiTutorial
  3. 6Write Bdd Scenarios In Gherkin With AiTutorial
  4. 7Test Design CheckQuiz

Test Automation with AI

Learn the general patterns first: how to give AI the right context for code generation, how to use error output as diagnostic input for debugging, and how to identify and extract duplicated logic for refactoring. Playwright, Cypress, Selenium, Copilot, and Cursor are used as examples throughout. The patterns apply regardless of which framework your team uses.

  1. 8Generate Test Automation Code With AiTutorial
  2. 9Debug Failing Tests With AiTutorial
  3. 10Refactor And Improve Test Suites With AiTutorial
  4. 11Automation CheckQuiz

Bug Reporting and Defect Analysis

Use AI to write clearer bug reports, investigate root causes faster, and triage a defect backlog more efficiently. This module turns AI into a structured thinking partner for the investigation and reporting side of QA.

  1. 12Write Better Bug Reports With AiTutorial
  2. 13Root Cause Analysis With Ai AssistanceTutorial
  3. 14Defect Triage And Prioritization With AiTutorial
  4. 15Defect Analysis CheckQuiz

Test Data, Documentation, and the Full Workflow

Generate realistic test data at scale, create and maintain test documentation, and put it all together in the capstone by designing a complete AI-augmented QA workflow for a real feature.

  1. 16Generate Test Data With AiTutorial
  2. 17Write And Maintain Test Documentation With AiTutorial
  3. 18Design Your Ai Augmented Qa WorkflowTutorial
  4. 19Workflow CheckQuiz

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