Artificial Intelligence Foundations

Your teams partner with Google experts to address key elements required to start your Google Cloud Vertex AI journey, including the data lifecycle in Vertex AI, security controls, and operational security around your workloads.

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What your team gets

Understanding of your data lifecycle using Vertex AI

Design and implement a secure, production-ready environment for Vertex AI workloads through Vertex AI tools such as Vertex AI Workbench, Managed Training, Vertex AI Feature Store and more based on Google Cloud best practices.

Security controls

Discover, design, and implement key security best practices through Identity and Access Management (IAM), VPC Service Controls, and access controls for best authentication, authorization, and prevention for your workloads.

Operational security

Design and implement detection, remediation, and logging features within your workloads through Vertex AI audit logging and access transparency while ensuring compliance with major regulatory laws such as HIPAA, etc.

Key deliverables	Technical design document Architectural Diagrams Sample Code Components
Google Cloud team include	Cloud Architect AI Cloud Program Manager Cloud Transform Advisor Cloud Product Specialist Network & Security
Delivery time estimate	6 to 32 weeks
Price	Contact us for a quote

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