Generative AI Security, Ethics, and Governance with Hyperscalers (Cloud Providers) explores the critical intersection of Generative AI security, cloud governance, and ethics, focusing on transformer architectures, and foundation models. Students will master advanced concepts including prompt injection attacks, adversarial examples, model inversion, and privacy-preserving machine learning. The curriculum covers cloud-specific AI security for AWS, GCP, and Azure, emphasizing Identity and Access Management (IAM), encryption strategies, and secure API implementations. Key topics include the EU AI Act, Executive Order for AI compliance, bias mitigation, model explainability, and ethical AI development within the framework of emerging global AI governance policies.
