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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