Vertex AI and Generative AI Security
Ready to harness the power of Vertex AI and generative AI securely and effectively? This course equips AI practitioners and security engineers with practical skills for safe, responsible AI adoption.
Book this courseCourse Overview
2 day course
Certificate of Attendance
Private
Partner of the Year
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 virtually or at a location of your choice across the UK.
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
Configure encryption strategies and protect sensitive information
Identify and mitigate unique security threats associated with generative AI
Establish foundational knowledge of AI Safety
Implement identity and access control measures to restrict access to Vertex AI resources
Enable logging, monitoring, and alerting for real-time security oversight of Vertex AI operations
Implement best practices for securing data sources and responses within Retrieval-Augmented Generation (RAG) systems
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: Monitoring & Logging in Vertex AI
- Logging
- Monitoring
Module 5: Security risks in Gen AI Applications
- Overview of Gen AI security risks
- Overview of AI safety
- Prompt security
- LLM safeguards
Module 6: 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
Who it's for
This course is designed for AI practitioners, security professionals, and cloud architects.
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.
BOOK THIS COURSE
Enquire for a team or large group
For private sessions call our sales team