AI for Testers
Artificial Intelligence (AI) has taken the world by storm, increasing the productivity of workers in a wide range of industries, especially software. But, it’s also understandably led to uncertainty and fear about the personal and implications for disciplines such as software testing.
If you’re interested in cutting through the hype and understanding how AI affects the testing profession, then this course is for you. In this hands-on class, you will learn how to test systems with AI components and how to apply AI to the process of testing itself.
Key takeaways from this class include:
- Learn how to effectively test and validate AI model input data and datasets.
- Understand how to effectively test AI models during model development and training.
- Apply effective testing techniques to software systems that include AI models.
- Learning how to leverage AI to support test case and script generation.
- Understand how to leverage AI to support test planning and management.
Who Should Attend
This course is ideal for those who test AI-based systems or wish to use AI to support their current software testing activities. This includes those in hands-on testing roles or test managers, as well as software developers and development managers.
Laptop and RDP Required
This class involves hands-on activities using sample software to better facilitate learning. Each student should bring a laptop with a remote desktop protocol (RDP) client pre-installed. Connection specifics and credentials will be supplied during class. Please work with your IT Admin before class to verify that your RDP client can be used to access a virtual machine running in the Amazon Web Services (AWS) environment. If you or your Admin have questions about the specific applications involved, contact our Client Support team.
Session 4: AI-Assisted Test Planning and Management
- AI-based testing process
- Prompt engineering for testers
- AI in test planning & documentation
- AI for defect management
- Using AI to generate and transform test data
- Demos and Hands-on Exercises
Session 5: AI-Assisted Testing
- How AI helps testing
- AI capabilities that support test automation
- AI-based test script generation
- AI-assisted UI testing
- Using AI to optimize regression test suites
- Demos and Hands-on Exercises
Session 6: Wrapup
- Aha moments
- References
- Course survey
- Next steps and additional information
Sign-In/Registration 7:30 - 8:30 a.m.
Morning Session 8:30 a.m. - 12:00 p.m.
Lunch 12:00 - 1:00 p.m.
Afternoon Session 1:00 - 5:00 p.m.
Times represent the typical daily schedule. Please confirm your schedule at registration.
• Digital course materials
• Continental breakfasts and refreshment breaks
• Lunches
Jonathan Kauffman works as an agile software development and test consultant at Coveros, a company that helps organizations develop secure software using agile methods. In this role, Jonathan has helped both government and commercial organizations develop and test high-quality applications, and he has gained his experience by working with health care, biomedical device, and research organizations. Jonathan also presents at and attends Meetups to help maintain his connection with the software testing community and to stay abreast of recent industry developments. Before joining Coveros, he earned his B.S. in computer science from Allegheny College, where he published research on techniques for optimizing regression test suites.