2 days EN / DE Max 16

Vertex AI and Generative AI Security

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.

€1.250,00 excl. VAT

Individual scheduling

The courses are held as dedicated group sessions. Once you've booked, we'll coordinate a date that works for your team and send invitations to all participants.

Prerequisites

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

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.

Course modules
Google Cloud Security Vertex AI components Vertex AI Security concerns
Overview of IAM in Google Cloud
Data encryption Protecting Sensitive Data VPC Service Controls Disaster recovery planning
Network security Securing model endpoints Deploy ML models using model endpoints Secure model endpoints
Logging Monitoring
Overview of gen AI security risks Overview of AI Safety Prompt security LLM safeguards
Testing generative AI model responses Evaluating model responses Fine-Tuning LLMs
Fundamentals of Retrieval-Augmented Generation Security in RAG systems
Vertex AI and Generative AI Security