Securing AI Data and Applications

Coursera Certificate USD 49
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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.

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

Skills you'll gain

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