2 day course

Partner of the Year

Private

A private training session for your team. Groups can be of any size, at a location of your choice including our training centres.

Certificate of Attendance

This course is designed to empower your organisation 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 organisation.

This Vertex AI and Generative AI Security course is available as a private session that can be delivered via Virtual Classroom, at our training centre in The Shard, London, or at a location of your choice across the UK.

Course overview

Who should attend:

This course is designed for AI practitioners, security professionals, and cloud architects.

What you'll learn:

By the end of this course, you will be able to:

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
Implement best practices for securing data sources and responses within Retrieval-Augmented Generation (RAG) systems
Establish foundational knowledge of AI Safety

Prerequisites

To get the most out of this course, participants should have fundamental knowledge of machine learning, in particular generative AI, and basic understanding of security on Google Cloud.

Course agenda

Module 1: Introduction to Vertex AI Security Principles

Google Cloud Security
Vertex AI components
Vertex AI Security concerns

Module 2: Identity & Access Management (IAM) in Vertex AI

Control access with Identity Access Management
Simplify permission using organization hierarchies and policies
Use service accounts for least privileged access

Module 3: Data Security & Privacy

Data encryption
Protecting sensitive data
VPC Service Controls
Disaster recovery planning

Module 4: Securing Vertex AI Endpoints & Model Deployment

Network security
Securing model endpoint

Module 5: Monitoring & Logging in Vertex AI

Logging
Monitoring

Module 6: Security risks in Gen AI Applications

Overview of Gen AI security risks
Overview of AI safety
Prompt security
LLM safeguards

Module 7: Testing & Evaluating Gen AI Model Responses

Testing Gen AI model responses
Evaluating model responses
Fine-tuning LLMs

Module 8: Securing Retrieval-augmented Generation (RAG) systems

Fundamentals of Retrieval-Augmented Generation
Security in RAG systems