Name: Vertex AI and Generative AI Security
Availability: InStock
Rating: 4.6 (5878 reviews)

Duration:

16.00 hours

13.0 CPD hours

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.

Description:

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.

Course Outline:

Module 01 - Introduction to Vertex AI Security Principles

Topics

- Google Cloud Security
- Vertex AI components
- Vertex AI Security concerns

Objectives

- Review Google Cloud Security fundamentals.
- Establish a foundational understanding of Vertex AI.
- Enumerate the security concerns related to Vertex AI features and components.

Activities

- Lab: Vertex AI: Training and Serving a Custom Model

Module 02 - Identity and Access Management (IAM) in Vertex AI

Topics

- Overview of IAM in Google Cloud

Objectives

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

Activities

- Lab: Service Accounts and Roles: Fundamentals

Module 03 - Data Security and Privacy

Topics

- Data encryption
- Protecting Sensitive Data
- VPC Service Controls
- Disaster recovery planning

Objectives

- Configure encryption at rest and in-transit.
- Encrypt data using customer-managed encryption keys.
- Protect sensitive data using the Data Loss Prevention service.
- Prevent exfiltration of data using VPC Service Controls.
- Architect systems with disaster recovery in mind.

Activities

- Lab: Getting Started with Cloud KMS
- Lab: Creating a De-identified Copy of Data in Cloud Storage
Module 04 - Securing Vertex AI Endpoints and model deployment

Topics

- Network security
- Securing model endpoints

Objectives

- Deploy ML models using model endpoints.
- Secure model endpoints.

Activities

- Lab: Configuring Private Google Access and Cloud NAT
Module 05 - Monitoring and logging in Vertex AI

Topics

- Logging
- Monitoring

Objectives

- Write to and analyze logs.
- Set up monitoring and alerting.
Module 06 - Security risks in generative AI applications

Topics

- Overview of gen AI security risks
- Overview of AI Safety
- Prompt security
- LLM safeguards

Objectives

- Identify security risks specific to LLMs and gen AI applications.
- Understand methods for mitigating prompt hacking and injection attacks.
- Explore the fundamentals of securing generative AI models and applications.
- Introduce fundamentals of AI Safety.

Activities

- Lab: Safeguarding with Vertex AI Gemini API
- Lab: Gen AI & LLM Security for Developers
Module 07 - Testing and evaluating generative AI model responses

Topics

- Testing generative AI model responses.
- Evaluating model responses.
- Fine-Tuning LLMs.

Objectives

- Implement best practices for testing model responses.
- Apply techniques for improving response security in gen AI applications

Activities

- Lab: Measure Gen AI Performance with the Generative AI Evaluation Service
- Lab: Unit Testing Generative AI Applications
Module 08 - Securing Retrieval-Augmented Generation (RAG) systems

Topics

- Fundamentals of Retrieval-Augmented Generation
- Security in RAG systems

Objectives

- Understand RAG architecture and security implications.
- Implement best practices for grounding and securing data sources in RAG systems.

Activities

- Lab: Multimodal Retrieval Augmented Generation (RAG) Using the Vertex AI Gemini API
- Lab: Introduction to Function Calling with Gemini

Available Delivery Options for Vertex AI and Generative AI Security

Live Instructor Led Classroom Online (Live Online)
Traditional Instructor Led Classroom training (TILT/ILT)
Delivery at your offices in United Kingdom
Private dedicated course for your staff

How many CPD hours does Vertex AI and Generative AI Security provide?

The 2 day Vertex AI and Generative AI Security course gives you up to 13.0 CPD hours/structured learning hours.

Who is the correct audience for Vertex AI and Generative AI Security?

AI practitioners, security professionals, and cloud architects

Do you provide training for Vertex AI and Generative AI Security?

Yes, we provide corporate training, dedicated training and closed classes for Vertex AI and Generative AI Security. This can take place anywhere in United Kingdom including London, Manchester, Birmingham, Edinburgh or live online.

What is the duration of Vertex AI and Generative AI Security?

The Vertex AI and Generative AI Security training takes place over 2 day(s), with each day lasting approximately 16.00 hours including breaks.

What other terms do people search for?

Popular related searches include: Vertex AI and Generative AI Security, AI & Data Science, VAIGAS

Why are Nexus Human the best provider for Vertex AI and Generative AI Security?

Nexus Human are recognised as one of the best training companies. Our trainers have won awards including Small Firms Best Trainer, national training partner of the year for Ireland, and global top 30 instructor awards in 2012, 2019 and 2021.

Is there a discount code for Vertex AI and Generative AI Security?

Yes, the discount code PENPAL5 is currently available for Vertex AI and Generative AI Security training. Only one discount code can be used per booking.

Vertex AI and Generative AI Security