AI Governance Essentials for Google Cloud
Taught by Dan King, 4x Google Trainer of the Year
Public class policy: Classes run with a minimum of 6 participants. If minimum enrollment isn't reached, you'll be notified 7 days before with options to transfer or receive a full refund.
Overview
Implement practical AI governance in Google Cloud environments. This intensive bridges the gap between compliance frameworks (ISO 42001, EU AI Act, SAIF) and the actual controls you need to configure. Leave with a governance playbook specific to your organization's Google Cloud AI deployment.
What You'll Learn
- Understand ISO 42001, EU AI Act, and Google SAIF frameworks
- Map compliance requirements to Google Cloud controls
- Configure audit logging and monitoring for AI systems
- Implement data governance for Gemini and Vertex AI
- Create an AI governance playbook for your organization
Who Should Attend
Compliance officers, IT security managers, legal/privacy teams, risk managers, CDOs
Prerequisites
None
Products Covered
Course Modules
The Governance Landscape
Topics
- ISO 42001: AI Management Systems
- EU AI Act: requirements and deadlines
- Google SAIF: Secure AI Framework
- Mapping frameworks to practical controls
Data Governance for AI
Topics
- Data residency and sovereignty
- Privacy considerations for Gemini
- Sensitive data handling policies
- Third-party data and training data concerns
Operational Controls
Topics
- Cloud Logging for AI audit trails
- BigQuery for compliance reporting
- IAM and access controls
- VPC Service Controls for AI tools
Governance Playbook Workshop
Topics
- Risk assessment for your AI deployment
- Control mapping exercise
- Policy template development
- Stakeholder communication planning
Get This Training
No public classes currently scheduled. Express interest below or request private training.
Course Details
- Course Code
- GS-101
- Duration
- 1 day
- Format
- Intensive
- Level
- Introductory
- Price
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