Generative AI in Software Testing Training

Beginner Level
6 hours to complete
Flexible Schedule

Priyanka Mehta

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

AI literacy Test Planning Test Case Acceptance Testing Test Automation Software Quality Assurance Test Execution Engine Test Data Requirements Analysis Software Documentation Software Testing Test Tools

Shareable Certificate

Earn a shareable certificate to add to your LinkedIn profile.

Develop Your Specialized Knowledge

Learn new concepts from industry experts

Gain a foundational understanding of a subject or tool

Develop job-relevant skills with hands-on projects

Earn a shareable career certificate

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.

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.

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.