If you are studying for the Google Cloud Generative AI Leader certification, the single biggest source of lost points is not the concepts — it is the product names. Google renamed much of its enterprise AI stack across late 2025 and April 2026, and the official exam guide predates parts of that rebrand. So you will see both old and new names, sometimes in the same question set.
This is a living reference. Learn each mapping in both directions — old-to-new and new-to-old — because the exam may present either.
The core renames
Vertex AI → Gemini Enterprise Agent Platform
The platform where you build, tune, and deploy models on Google Cloud. Same platform, new name. Model Garden — the catalog of first-party and open models — persists inside it. When study material says "Vertex AI," read it as "the Gemini Enterprise Agent Platform."
Agentspace → Gemini Enterprise
The umbrella product. Gemini Enterprise combines:
- an AI assistant for employees,
- an agentic platform for building and running agents, and
- enterprise search with connectors to sources like SharePoint, Confluence, Jira, and ServiceNow.
If a question describes "org-wide, connector-based enterprise search," the answer is Gemini Enterprise (via Agent Search), not a point solution.
Agent Search
The multi-turn, multimodal enterprise search capability inside Gemini Enterprise. This is the "search across all our internal docs in natural language" answer.
Model Garden
The model catalog — first-party models (Gemini, Imagen, Veo) plus open models (like Gemma) and select third-party models. It survived the rebrand as a sub-component of the Gemini Enterprise Agent Platform.
The trap pairs
Google AI Studio vs Agent Studio
This is the most common naming trap.
| Google AI Studio | Agent Studio | |
|---|---|---|
| Audience | Individuals, prototyping | Enterprise teams |
| API | Gemini Developer API | Gemini Enterprise Agent Platform |
| Governance | None | Governed (audit, controls) |
| Use | Quick experiments | Production, oversight |
If a question mentions enterprise governance, controls, or oversight, the answer is Agent Studio. If it mentions individual prototyping or the Gemini Developer API, it is Google AI Studio.
Conversational Agents (formerly Dialogflow CX)
Conversational Agents is the current name for Dialogflow CX. The rebrand is still in transition, so expect both names. Two things to remember:
- It lives in the Customer Engagement Suite (alongside Agent Assist, Conversational Insights, and Contact Center as a Service).
- It is hybrid — deterministic flows for known intents plus generative responses for open-ended queries. It is not "just a chatbot," and it is not purely generative.
Gemini Enterprise vs NotebookLM Enterprise
These are complementary, not competitors:
- Gemini Enterprise — broad, org-wide search and agents.
- NotebookLM Enterprise — curated deep research over a chosen corpus, running inside the customer's own Cloud project.
A question that pits them against each other is testing whether you know they solve different problems.
Two honest caveats
- Google's own docs may lag. During a rebrand, console labels, help pages, and the exam guide do not all update at once. Do not panic if you see "Vertex AI" in an official-looking source — recognize the platform behind it.
- Don't over-specify the hardware. Google describes its accelerators generically as custom-designed TPUs. For a business-level exam, "custom-designed TPUs, GPUs, and global data centers" is the safe framing — avoid guessing a specific TPU generation number.
Quick reference table
| Legacy name | Current name | What it is |
|---|---|---|
| Vertex AI | Gemini Enterprise Agent Platform | Build/tune/deploy platform |
| Agentspace | Gemini Enterprise | Umbrella: assistant + agents + search |
| Dialogflow CX | Conversational Agents | Hybrid deterministic + generative agents |
| (unchanged) | Model Garden | Model catalog inside the platform |
| (unchanged) | Agent Search | Enterprise search capability |
| (unchanged) | NotebookLM Enterprise | Curated deep research |
| (unchanged) | Google AI Studio | Individual prototyping, no governance |
Related on explainx.ai
- Google Cloud Generative AI Leader certification guide — the full exam breakdown
- Certification study guide — domains, scenarios, task map
- Learning pathway — articles mapped to exam domains
- Google Cloud Next 2026: TPU and Gemini Enterprise Agent Platform — the rebrand in context
Product names are summarized from Google Cloud's public messaging as of mid-2026 and change frequently; verify current naming on Google Cloud before relying on it. explainx.ai is not affiliated with Google Cloud.