Google Workspace / AI governance / GW-GEMINI
Govern Gemini for Workspace responsibly
Build administrator judgment for service access, licensing, data protection, extensions, user enablement, monitoring, and responsible AI adoption in Google Workspace.
Stage 1 · AI governance
Build the Workspace operating foundation
Start with lifecycle, policy targeting, domains, licenses, and the core services users depend on every day.
- 1.Licensing, availability, and service controls
- 2.Data protection and organizational policy
Stage 2 · Governance, access, and operations
Protect data and keep services healthy
Continue with compliance, least-privilege administration, endpoints, monitoring, and evidence-led troubleshooting.
- 3.Extensions and connected Workspace services
- 4.Access, sharing, and least privilege
- 5.Responsible-use guidance and user enablement
- 6.Monitoring, support, and adoption measurement
Hands-on consolidation
Put it into practice
Design a synthetic Gemini pilot with eligible users, data boundaries, approved use cases, prohibited content, extension controls, training, support ownership, success measures, and an exit plan. Test only with non-sensitive data.
Ready to move on when…
You can explain which controls apply, assess a proposed use case, prevent sensitive-data misuse, and run a measurable pilot with human accountability.
Use a test tenant and synthetic users and data. Never experiment with production retention, routing, access, or deletion settings.
Practice and review
Find gaps with our GW-GEMINI test
The test contains 75 independent practice questions, including interactive matching exercises. The first 7 questions are available in the free preview.
Try our GW-GEMINI practice test →Practice results are learning feedback, not an official Google result or a pass guarantee. Confirm current booking details with Google before scheduling.