Secure Vertex AI and Generative AI
This course provides practical knowledge and hands on skills to securely adopt Google Vertex AI and generative AI technologies, with a strong focus on security, responsible AI, and organizational protection.
Why get trained: Learn how to secure Vertex AI resources using identity and access controls, encryption, logging, monitoring, and alerting. Participants will also learn to identify generative AI security threats, test model responses, secure RAG data sources and responses, and apply AI Safety principles.
Why it matters: As organizations increasingly adopt generative AI, strong security controls are essential to protect sensitive data, manage AI risks, and ensure safe and responsible use of AI technologies.
Who should attend: AI Practitioners, Security Professionals, Security Engineers, Cloud Architects, and professionals involved in implementing or securing AI solutions.
Gain the practical skills to securely implement and manage Vertex AI and generative AI solutions while strengthening your organization’s AI security posture. HRD Corp Claimable.
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 Covered
- 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.
Prerequisites
Fundamental knowledge of machine learning, in particular generative AI, and basic understanding of security on Google Cloud.
Target Audience
AI practitioners, security professionals, and cloud architects.
Module 1: Introduction to Vertex AI Security Principles
Module 2: Identity and Access Management (IAM) in Vertex AI
Module 3: Data Security and Privacy
Module 4: Securing Vertex AI Endpoints and model deployment
Module 5: Monitoring and logging in Vertex AI
Module 6: Security risks in generative AI applications
Module 7: Testing and evaluating generative AI model responses
Module 8: Securing Retrieval-Augmented Generation (RAG) systems
Exam & Certification
Note:Â There is no exam directly associated with this course. However, Google Cloud offers an extensive portfolio of industry-recognized certifications that can help you stand out as a tech professional in 2025 and beyond. Obtaining a Google Cloud certified credential is one of the most effective ways to validate your skills and accelerate your career.
With our expert-led training, you’ll be prepared to:
- Master in-demand capabilities across Cloud, Data & AI, and Cybersecurity — areas driving global digital transformation.
- Prove your expertise with a globally respected credential recognized by employers worldwide.
- Advance your career by enhancing your credibility, increasing your earning potential, and opening doors to new opportunities.
Explore our full range of Google Cloud certifications and start building the skills that matter today.
Training & Certification Guide
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