- Course overview
- Course details
- Prerequisites
Course overview
About this course
This course reviews the essential security features of Model Armor and equips you to work with the service. You’ll learn about the security risks associated with LLMs and how Model Armor protects your AI apps.
Audience
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Security engineers
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AI/ML developers
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Cloud architects
Course details
Module 1: Course Overview
Module 2: Model Armor Overview
• About Model Armor
• Governing LLM risks
Module 3: Customize Model Armor
• About customization
• Floor settings
• Guard rails and confidence levels
• Gemini Enterprise Agent Platform integration
• Templates
Module 4: Use Model Armor
• About setup
• API setup
• No-code protections
• Flagged Violations
Module 5: Put it all together
• Prompts and responses
• Application code
Module 6: Course Conclusion
Prerequisites
- Working knowledge of APIs
- Working knowledge of Google Cloud CLI
- Working knowledge of cloud security foundational principles
- Familiarity with the Google Cloud console
Enquiry
Course : Model Armor: Securing AI Deployments
Enquiry
request for : Model Armor: Securing AI Deployments
