Generative AI in Software Testing Training
This beginner-friendly course explores how Generative AI is transforming software testing across the QA lifecycle. Learn to automate requirement analysis, test...
By Priyanka Mehta on Coursera
About This Course
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.
Topics Covered
Frequently Asked Questions
How much does Generative AI in Software Testing Training cost?
Visit the Generative AI in Software Testing Training course page for current pricing and available discounts.
Who teaches Generative AI in Software Testing Training ?
Generative AI in Software Testing Training is taught by Priyanka Mehta, Simplilearn.
What skill level is Generative AI in Software Testing Training for?
This course is designed for beginner learners.
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