This 4-session course (3 hours per session) is designed to equip software testers with the knowledge and practical skills to integrate Generative AI into the testing workflow. By the end of the course, participants will understand how to leverage AI for test case generation, test data creation, automation, and intelligent test execution.
Course Outcomes
By the end of the course, participants will:
✅ Understand how Generative AI enhances software testing
✅ Generate high-quality test cases using AI models
✅ Use AI to create diverse and realistic test data
✅ Automate UI and API testing with AI-driven scripts
✅ Build AI-powered testing workflows for intelligent execution
Session 1: Introduction to Generative AI in Testing
Overview of Generative AI
What is Generative AI?
Difference between traditional AI and Generative AI
Overview of LLMs (Large Language Models) in software testing
How LLMs are trained and their limitations (tokenization, context windows, hallucinations)