What you'll learn

Generative AI systems are increasingly being deployed into production environments, yet many organizations lack the architectural safeguards needed to prevent prompt injection, data leakage, misuse, and regulatory exposure. Without proper safety and security design, GenAI applications can introduce significant operational and compliance risks. In this course, Safety and Security Architecture for GenAI Systems, you’ll gain the ability to design and implement secure, production-grade generative AI architectures. First, you’ll explore adversarial prompt patterns and learn how to defend against prompt-injection and jailbreaking attacks through layered input validation and structured prompt design. Next, you’ll discover how to implement multi-layer content moderation systems and privacy-preserving pipelines that protect sensitive data and support regulatory compliance. Finally, you’ll learn how to apply enterprise security best practices, including authentication, authorization, monitoring, threat modeling, and secure deployment strategies. When you’re finished with this course, you’ll have the skills and knowledge of GenAI safety and security architecture needed to transform experimental LLM integrations into resilient, compliant, and production-ready systems.