Securing AI Data and Applications
About this course
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.
63/100
CourseAsk score
- What the provider tells you
- 39/45
- Who stands behind it
- 8/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
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
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