
Generative AI in Software Testing Training
coursera · Desarrollo · en
Impartido por Priyanka Mehta
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Descripción
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.