Vertex AI and Generative AI Security (GC-VAIGAS)

About this course

Secure Vertex AI and generative AI workloads. Over two days you will apply IAM, protect data and privacy with encryption, secure endpoints and deployments, monitor and log activity, and defend against threats specific to generative AI.

What you'll learn

• 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

Curriculum

Who it's for

Security engineers and ML platform teams.

Before you start

• Fundamental knowledge of machine learning, in particular generative AI, and basic understanding of security on Google Cloud.