Introduction to AI Testing
Foundations of AI test automation — challenges, modeling, and analysis.
Course overview
Foundational program on AI test automation — challenges, modeling, and analysis for smart applications and autonomous systems.
Core curriculum
Four themed modules. Each module is a working block of lessons and labs.
Why AI Testing
Why traditional testing breaks on AI systems, and what changes.
Test Modeling
AI test modeling and analysis for non-deterministic systems.
Generation
Test generation and data augmentation strategies.
Adequacy
Defining adequate validation criteria for AI features.
What you'll gain
- A QA mental model for AI features
- Hands-on intro to AI test modeling
- Test-generation and augmentation skills
- Practical adequacy criteria you can apply
Available classes
Open classes you can enroll in directly. Each class shows its instructor and weekly schedule.
Not sure which class fits? Reach us from the Contact page.
Ready to build with AI?
Schedule a free consultation. We'll help you choose the right track — Builder, Portfolio, Scholar, or Innovation — based on your goals and experience.