Jayateerth Katti

AI testing is fundamentally different from traditional testing. In 60 minutes, get a clear map of what to learn, what matters, and how to position yourself for AI QA roles.

Who this is for:

1. Testers who want to move into AI product testing but don't know where to start
2. QA professionals whose companies are building AI features and have no testing strategy for them
3. Senior testers who want to future-proof their career against automation and AI displacement

What we will cover:

1. What AI testing actually means and what it doesn't (cutting through the noise)
2. The six layers of an AI system that need testing most teams test only one
3. How to define pass/fail criteria for non-deterministic AI output
4. The skills gap you need to close and the fastest way to close it
5. How to position yourself on LinkedIn and in interviews as an AI QA specialist

What you walk away with:

A personal AI QA learning roadmap based on your current background, your company's context, and where the market is heading.

A note from Jay:

I test AI-backed products in a regulated healthcare environment daily. This is not theory. Everything I share comes from active, hands-on experience in one of the most demanding AI testing contexts that exists.