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.
Generative AI in Software Testing Training
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Generative AI in Software Testing Training
This course is part of AI-Powered Software Development Certification Specialization
Instructor: Priyanka Mehta
Included with 
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
7 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Automate test planning, case creation, and documentation using GenAI tools
Generate and manage synthetic test data for realistic testing scenarios
Execute and analyze tests efficiently with AI-powered scripts and insights
Streamline requirement analysis and test cycle closure using real-world GenAI demos
Skills you'll gain
Details to know
Shareable certificate
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Recently updated!
August 2025
Assessments
10 assignments
Taught in English
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This course is part of the AI-Powered Software Development Certification Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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- Gain a foundational understanding of a subject or tool
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There are 3 modules in this course
Learn the foundations of Generative AI in software testing, from understanding the software testing life cycle to analyzing requirements with AI tools. Explore how GenAI enhances test case creation, clarifies requirements, suggests focus areas, and generates acceptance criteria. Includes hands-on demos comparing traditional and AI-based methods. Ideal for QA professionals and testers exploring AI-powered testing.
What's included
10 videos1 reading3 assignments1 plugin
Master test design and data preparation using Generative AI. Learn how AI enhances test planning, automates test case development, and generates synthetic data. Explore real-world demos with tools like testRigor to create, prioritize, and document test cases. See how GenAI improves planning for complex systems like healthcare analytics. Ideal for testers aiming to streamline QA workflows with AI.
What's included
12 videos3 assignments1 plugin
Explore how Generative AI streamlines test execution and closure processes. Learn to set up testing environments, generate scripts, and interpret results using AI. Understand how GenAI supports test cycle closure through automation and insights. Includes hands-on demos to optimize execution and reporting. Ideal for QA teams looking to boost testing efficiency with AI-powered workflows.
What's included
6 videos4 assignments1 plugin
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Frequently asked questions
Generative AI in software testing uses AI models to automate tasks like test case creation, data generation, and requirement analysis.
Yes, AI can automate repetitive tasks, improve test accuracy, and enhance efficiency across the software testing lifecycle.
AI has broad scope from test planning and execution to defect prediction and reporting boosting speed and coverage in QA processes.
More questions
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