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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....
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$1,800 USD
Duration
2 days
Course Code
GCP-VAIGAS
Available Formats
Classroom, Virtual
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.
Skills Gained
- 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
Who Can Benefit
AI practitioners, security professionals, and cloud architects.
Prerequisites
Fundamental knowledge of machine learning, in particular generative AI, and basic understanding of security on Google Cloud.
Course Details
Introduction to Vertex AI Security Principles
- Google Cloud Security
- Vertex AI components
- Vertex AI Security concerns
- Review Google Cloud Security fundamentals.
- Establish a foundational understanding of Vertex AI.
- Enumerate the security concerns related to Vertex AI features and components.
- Lab: Vertex AI: Training and Serving a Custom Model
Identity and Access Management (IAM) in Vertex AI
- Overview of IAM in Google Cloud
- Control access with Identity Access Management.
- Simplify permission using organization hierarchies and policies.
- Use service accounts for least privileged access.
- Lab: Service Accounts and Roles: Fundamentals
Data Security and Privacy
- Data encryption
- Protecting Sensitive Data
- VPC Service Controls
- Disaster recovery planning
- 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.
- Lab: Getting Started with Cloud KMS
- Lab: Creating a De-identified Copy of Data in Cloud Storage
Securing Vertex AI Endpoints and model deployment
- Network security
- Securing model endpoints
- Deploy ML models using model endpoints.
- Secure model endpoints.
- Lab: Configuring Private Google Access and Cloud NAT
Monitoring and logging in Vertex AI
- Logging
- Monitoring
- Write to and analyze logs.
- Set up monitoring and alerting.
Security risks in generative AI applications
- Overview of gen AI security risks
- Overview of AI Safety
- Prompt security
- LLM safeguards
- 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.
- Lab: Safeguarding with Vertex AI Gemini API
- Lab: Gen AI & LLM Security for Developers
Testing and evaluating generative AI model responses
- Testing generative AI model responses.
- Evaluating model responses.
- Fine-Tuning LLMs.
- Implement best practices for testing model responses.
- Apply techniques for improving response security in gen AI applications.
- Lab: Measure Gen AI Performance with the Generative AI Evaluation Service
- Lab: Unit Testing Generative AI Applications
Securing Retrieval-Augmented Generation (RAG) systems
- Fundamentals of Retrieval-Augmented Generation
- Security in RAG systems
- Understand RAG architecture and security implications.
- Implement best practices for grounding and securing data sources in RAG systems.
- Lab: Multimodal Retrieval Augmented Generation (RAG) Using the Vertex AI Gemini API
- Lab: Introduction to Function Calling with Gemini
Schedule
1 options available
-
Jul 20, 2026 - Jul 21, 2026 (2 days)
Live Virtual | 9:00AM – 5:00PM EDT Language English Select from 1 option(s) below Live Virtual |9:00AM – 5:00PM EDT- Enroll
- Enroll Add to quote
FAQ
Does the course schedule include a Lunchbreak?
Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.
What languages are used to deliver training?
Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.
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As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.
Is the training too basic, or will you go deep into technology?
It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.
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Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.
Do you provide hands-on training and exercises in an actual lab environment?
Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.
Will you customize the training for our company’s specific needs and goals?
We will work with you to identify training needs and areas of growth. We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.
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Reviews
Overall it was a good bootcamp. A lot to cover so it is understandable that the pace had to be a little fast.
Good course. I appreciate the time the instructor put into teaching this class.
Thorough explanations by the instructor along guide and practical training sim of software.
The class covered the concepts needed for the AWS Cloud Practitioner Certification.
Topics, material and specially instructor (Graham Godfrey) was beyond my expectations.
