Privacy and Secure AI Operations
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.
Skills you'll learn
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