Vertex AI and Generative AI Security

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Course Overview

This course is designed to empower your organization to fully harness the transformative potential of Google’s Vertex AI and generative AI (gen AI) technologies, with a strong emphasis on security. Tailored for AI practitioners and security engineers, it provides targeted knowledge and hands-on skills to navigate and adopt AI safely and effectively. Participants will gain practical insights and develop a security-conscious approach, ensuring a secure and responsible integration of gen AI within their organization.

Who Should Attend

AI Practitioners, Security Professionals, and Cloud Architects

Course Objectives

    • Establish foundational knowledge of Vertex AI and its security challenges.
    • Implement identity and access control measures to restrict access to Vertex AI resources.
    • Configure encryption strategies and protect sensitive information.
    • Enable logging, monitoring, and alerting for real-time security oversight of Vertex AI operations.
    • Identify and mitigate unique security threats associated with generative AI.
    • Apply testing techniques to validate and secure generative AI model responses.
    • Implement best practices for securing data sources and responses within Retrieval-Augmented Generation (RAG) systems.
    • Establish foundational knowledge of AI Safety

Course Outline

  • Introduction to Vertex AI Security Principles
  • Identity and Access Management (IAM) in Vertex AI Data Security and Privacy
  • Securing Vertex AI Endpoints and Model Deployment
  • Monitoring and Logging in Vertex AI
  • Security Risks in Generative AI Applications
  • Testing and Evaluating Generative AI Model Responses
  • Securing Retrieval-Augmented Generation (RAG) systems

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Class Dates & Times

Class times are listed Central time

This is a 2-day class

Class dates not listed.
Please contact us for available dates and times.