Generative AI in Software Testing Training

Overview

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.

Syllabus

• Foundations of Generative AI in Software Testing
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.
• Test Design and Data Preparation with GenAI
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.
• Execution and Closure Using GenAI
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.

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Taught by

Priyanka Mehta

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Subjects

Computer Science