Generative AI in Software Testing Training
Skills:
AI Workflow Automation60%
Key Takeaways
Building Generative AI pipelines for software testing using testRigor
Original Description
This beginner-friendly course explores how Generative AI is transforming software testing across the QA lifecycle. Learn to automate requirement analysis, test planning, test case development, execution, and closure using cutting-edge tools like testRigor. Discover how AI simplifies environment setup, creates synthetic test data, prioritizes test cases, and enhances reporting through real-world demos. Gain hands-on experience comparing traditional vs GenAI-driven workflows and improve testing speed, accuracy, and coverage with AI-powered automation.
Basic understanding of software testing or QA processes is recommended.
By the end of this course, you will be able to:
- Use GenAI tools to automate requirement analysis, test design, and execution
- Generate test cases, synthetic data, and acceptance criteria with AI
- Optimize test planning and cycle closure with minimal manual effort
- Apply tools like testRigor for real-world GenAI-powered testing tasks
- Evaluate GenAI adoption using examples from industries like healthcare analytics
Ideal for QA professionals, testers, and tech teams looking to enhance testing workflows with AI.
Watch on External: Coursera ↗
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Tutor Explanation
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