This course addresses data privacy compliance, transformer-based AI security, and the operational security of deployed AI systems. You'll apply GDPR lawful-basis mapping to training data; conduct DPIA reviews and evaluate de-identification techniques; identify transformer attack surfaces and interpret adversarial test reports for hardening prioritization.

You will also review defence-in-depth control implementation in Azure ML environments; assess security telemetry outputs for prompt-injection detection; and make patch-vs-retrain decisions when model dependency vulnerabilities are published. Technical content is scaffolded for managerial and governance audiences — no coding or model engineering required. Familiarity with GDPR and Azure fundamentals is recommended.