explainx / blog
A living glossary of Google's 2025–2026 gen AI product renames: Vertex AI → Gemini Enterprise Agent Platform, Agentspace → Gemini Enterprise, Google AI Studio vs Agent Studio, Model Garden, Conversational Agents (Dialogflow CX), and NotebookLM Enterprise — built for Generative AI Leader exam prep.
Jul 3, 2026
A non-technical, business-level Google Cloud certification: 50–60 questions in four weighted domains, six business scenario frames, $99 per attempt, 3-year validity. Here is the competency map, the Gemini Enterprise naming maze, common traps—and our mock test bank.
Jul 3, 2026
Professional-tier AWS certification: 65 scored questions in five domains, six production scenario frames, $300 per attempt. Here is the competency map, what to expect on exam day, official Skill Builder prep—and our mock test bank.
Jul 3, 2026
Associate-tier Microsoft certification: five domains, a 700/1000 pass score, six production scenario frames, $165 per attempt. Here is the competency map, the semantic-vs-vector-vs-hybrid trap, official Learn prep—and our mock bank.
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 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."
The umbrella product. Gemini Enterprise combines:
If a question describes "org-wide, connector-based enterprise search," the answer is Gemini Enterprise (via Agent Search), not a point solution.
The multi-turn, multimodal enterprise search capability inside Gemini Enterprise. This is the "search across all our internal docs in natural language" answer.
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.
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 is the current name for Dialogflow CX. The rebrand is still in transition, so expect both names. Two things to remember:
These are complementary, not competitors:
A question that pits them against each other is testing whether you know they solve different problems.
| 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 |
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.
