Google’s current developer platform is Gemini Enterprise Agent Platform, the evolution of Vertex AI. Connect model capabilities to governed data and a measurable application task.
Content reviewed: October 25, 2026
Platform and model choices
Gemini Enterprise Agent Platform brings model and agent development, deployment, and governance together. Older documentation and exam materials can still refer to Vertex AI. Confirm the current product name, endpoint, and supported features for the service you use.
Data and retrieval
Keep source permissions attached to documents and enforce them before retrieval results enter model context. Use freshness checks, citations, and evaluation examples that distinguish a retrieval miss from an unsupported generated answer.
Model and agent operations
Choose managed model access, custom training, or an agent runtime according to the task. Additional tool access requires narrow identities, validated inputs, and a clear stopping condition. Do not treat a model’s explanation as evidence that an action succeeded.
A production checklist
- Validate regional availability, quotas, data handling, and model lifecycle.
- Protect service identities and review privileged operations.
- Evaluate answer support, access boundaries, adversarial content, and failures.
- Capture operating evidence without unnecessarily retaining sensitive prompts.
- Assign owners for source quality, application changes, and incident response.