Developer AI Platform
Unlock the complete study guide + 1,040 practice questions across 16 full exams.
Bundled into the existing Generative AI Leader premium course — no separate purchase.
14-day money-back guarantee — no questions asked.
Included in this chapter:
- One platform, a buy-to-build dial
- Model Garden: the catalog you pick a model from
- AutoML: a custom model without a data-science team
- RAG: prebuilt with Vertex AI Search vs the RAG APIs
- Vertex AI Agent Builder: build a custom agent
- Exam patterns: which building block?
Choosing a Vertex AI building block
| Building block | What you get | Where it sits (buy → build) | Reach for it when |
|---|---|---|---|
| Model Garden | One catalog of first-party, open, and partner models | Selection step, before either end | You need to choose a model to build on |
| AutoML | A custom model trained on your labeled data, no code | Managed (buy) build tier | You have data but no ML team |
| Prebuilt RAG (Vertex AI Search) | A managed retrieval pipeline with grounded, cited answers | Buy end | You want grounded answers fast, no ML expertise |
| RAG APIs (Vertex AI RAG Engine) | A composable pipeline you assemble, your choice of vector database | Build end | You need control over retrieval |
| Vertex AI Agent Builder | Tools to author, deploy, and ground a custom agent | Build end (agents) | You need an agent that reasons and acts |
Decision tree
Cheat sheet
Unlock with Premium — includes all practice exams and the complete study guide.