Secure AI systems and data using enterprise-grade governance, zero-trust architecture, and compliance frameworks. This course teaches you to govern GenAI data safely, implement zero-trust security models, secure applications against evolving threats, and evaluate cloud systems against standards like NIST and SOC 2. You will analyze breach scenarios, design role-based access controls, create infrastructure-as-code policies, and establish secure coding guidelines that prevent vulnerabilities at scale. Build practical skills in incident response, automated policy enforcement, threat modeling, and compliance evaluation. By the end of this course, you will be able to secure AI systems and data confidently, enforce enterprise-grade policies, anticipate and mitigate threats, and demonstrate readiness for senior security roles in AI-driven organizations.
What you'll learn
govern GenAI data safely
implement zero-trust security models
secure applications against evolving threats
analyze breach scenarios
design role-based access controls
create infrastructure-as-code policies
establish secure coding guidelines
build skills in incident response
automated policy enforcement
threat modeling
compliance evaluation
Course objectives
enable students to secure AI systems confidently
prepare students for senior security roles in AI-driven organizations