Extending AI Native Application Quality Across the Full Lifecycle
This module explains how to transform AI quality assurance from a single pre‑deployment test into a continuous, organization‑wide lifecycle system, covering design‑time quality gates, CI‑integrated testing, production monitoring, safety, reliability, explainability, compliance, and a real‑world automotive case study.
