Model Armor: Securing AI Deployments

About this course

Protect LLM applications with Model Armor. In one day you will see where it fits in your security portfolio, understand the protections it applies to every interaction with the model, set up the Model Armor API, investigate flagged violations and learn how it screens prompts and responses.

What you'll learn

• Explain the purpose of Model Armor in a company’s security portfolio
• Define the protections that Model Armor applies to all interactions with the LLM
• Set up the Model Armor API and find flagged violations
• Identify how Model Armor manages prompts and responses

Curriculum

Who it's for

Security engineers and developers deploying generative AI.

Before you start

• Prior to attending this course, students should have working knowledge of APIs, Google Cloud CLI, cloud security principles, and familiarity with the Google Cloud console