AI-Assisted Testing (MEAP V01)

In AI-Assisted Testing, you’ll explore almost every aspect of testing—automation, test data management, test scripting, exploratory testing, and more—and learn how AI can assist and enhance each one. Each example is rooted in the kind of testing problems you’ll encounter every day. See how you can use GitHub CoPilot to guide your test-driven development, get meaningful code feedback from ChatGPT, and use the OpenAI API to integrate AI into your data generation. You’ll master best practices for prompt engineering and even learn how to enhance an open source LLM for your team’s precise requirements. Soon, you’ll have the best of both worlds—higher quality testing that takes up less of your time!
 
Speed up your testing and deliver exceptional code quality with the power of AI tools.
 
The more you test, the more you learn about your software. AI-Assisted Testing shows you how you can expand, automate, and enhance your testing with Large Language Model (LLM)-based AI. Your team will soon be delivering higher quality tests, all in less time.
 
Inside AI-Assisted Testing you’ll learn how to:
    Spot opportunities to improve test quality with AI
    Construct test automation with the support of AI tools
    Formulate new ideas during exploratory testing using AI tools
    Use AI tools to aid the design process of new features
    Improve the testability of a context with the help of AI tools
    Maximize your output with prompt engineering
    Create custom LLMs for your business’s specific needs