Understand AI applications in software testing
Write effective QA prompts
Build data-driven end-to-end tests
Improve debugging and failure analysis
Maintain reliable automation frameworks
Generate test cases using Generative AI
Automate web applications with Playwright
Use AI for test scenario creation
Reduce repeated and duplicate test cases
Apply responsible AI in QA workflows
AI for Software Testing and QA Automation is a practical course designed for software testers, QA engineers, automation engineers, and beginners who want to understand how artificial intelligence can improve modern testing workflows.
The course explains how Generative AI and prompt engineering can support requirement analysis, test scenario generation, test-case writing, edge-case identification, defect analysis, debugging, and test documentation. Learners will also gain practical knowledge of Playwright, TypeScript, data-driven testing, reusable automation utilities, and end-to-end web application testing.
Through guided demonstrations and practical examples, learners will understand how to combine AI-assisted testing with traditional QA principles. The course emphasizes human review, test reliability, maintainability, and responsible use of AI.
By the end of the course, learners will be able to design better test scenarios, build automation workflows, investigate failures efficiently, and use AI as a practical assistant in software testing and QA automation.
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