Google Cloud

Security Best Practices in Google Cloud: Models

Google Cloud

Security Best Practices in Google Cloud: Models

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Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
3 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
3 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Map AI-specific threat vectors to relevant components and principles within SAIF to establish a proactive defense-in-depth strategy.

  • Manage AI threats by creating compensating controls.

  • Measure and test controls to see that they are working.

  • Harden AI training and inference infrastructure to protect sensitive model weights and intellectual property.

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Recently updated!

September 2026

Assessments

1 assignment

Taught in English

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There is 1 module in this course

This course equips security engineers with the skills to design, deploy, and govern a defense-in-depth architecture for AI workloads aligned with Google’s Secure AI Framework (SAIF). Throughout hands-on scenarios, learners will implement compensating controls—such as Model Armor and secure agentic data pipelines—while hardening core training and inference infrastructure against advanced threat vectors.

What's included

1 assignment1 app item9 plugins

Instructor

Google Cloud Training
Google Cloud
2,332 Courses4,568,289 learners

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Google Cloud

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