As AI transitions from experimentation to production, Quality Assurance is undergoing a fundamental transformation.
Traditional QA models – built for deterministic systems are no longer sufficient for validating AI-driven, autonomous and continuously evolving software.
This Seminar equips QA leaders with the mindset, frameworks and practical tools required to redefine Quality Engineering for an autonomous future.
Who Should Attend
QA Directors & Head of Quality
Senior Test Managers
QA Team leads
Quality Engineering practitioners preparing for AI Transformation
Prerequisites
Course Contents
Understand the fundamental shift from deterministic to probabilistic systems and the Quality breakpoint
Define a modern QA Manifesto aligned with AI-Native Systems and Culture
Practical Tactics + Operational model shift
Understanding of Agentic / Cognitive workforce
A Trust Engineering Lens
A new Metrics system Focus on Trust, Risk, and behavior
