Building Software Test Plans Using AI
54mIntermediate2025-10-07
Authors

Mike Fine
Founder, Director, and Senior Test Manager at Centercode
Course details
In this course, discover how to use AI as a practical tool for building software test plans. Instructor Mike Fine introduces the basics of working with AI to generate and shape the key components of a test plan, showing how simple inputs like your existing documents can be transformed into structured, useful outputs. Learn how AI can help expand test coverage, improve efficiency, and identify potential issues earlier in the process, while also exploring best practices, common challenges, and the opportunities AI creates for smarter, faster plan building.
Learning objectives
Describe the benefits of using AI to build software test plans.
Create custom test plans for each new product based on the best practices you have already integrated into your existing quality systems.
Develop a strong foundational document to aid in building future test plans.
Learning objectives
Describe the benefits of using AI to build software test plans.
Create custom test plans for each new product based on the best practices you have already integrated into your existing quality systems.
Develop a strong foundational document to aid in building future test plans.
Skills covered
Software TestingAI Development Tools and PlatformsProgramming FoundationsBuilding with AISoftware DevelopmentDeep Dive (X:Y)
Concepts
Introduction
- AI-driven software test plans
Prepping to Build
- Product documents
- Prior test plans
- Other materials
Building an Alpha Plan
- Alpha testing
- Test techniques
- Building the alpha plan
- Alpha challenges and checks
Building a Beta Plan
- Beta testing
- User demographics and planning
- Building the beta plan
- Beta challenges and checks
Understanding AI
- AI and plan building
- AI risks
- Building a process around AI
Conclusion
- Next steps