[ ABORT TO HUD ]
SEQ. 1
SEQ. 2
SEQ. 3

Introduction to Vertex AI

☁️ The Vertex AI Ecosystem 5m 100 BASE XP⌨ HANDS-ON LAB

The Enterprise AI Platform

Google Vertex AI is a fully managed machine learning platform that allows you to train and deploy ML models and AI applications. It unifies Google Cloud's ML offerings into a single environment.

Verified scope: Vertex AI remains Google's managed enterprise AI platform on Google Cloud. Use Vertex AI docs and Gemini API model docs as the authoritative source for current model IDs and feature availability.
Key Components:
  • Model Garden: Browse Google and third-party models available in Vertex AI.
  • Gemini API on Google Cloud: Use managed enterprise IAM, networking, and observability controls.
  • Vertex AI Studio / tooling: Prototype prompts and flows before production deployment.
  • Grounding + Search + Data services: Build enterprise RAG and agent workflows.
⌨ HANDS-ON LABBootstrap Your GCP AI Project
⭐ +150 XP

Fresh Google Cloud project. Authenticate your local machine, then enable the Vertex AI API — the two commands every Vertex project starts with.

1Authenticate for local development using gcloud Application Default Credentials.
2Enable the Vertex AI API (service: aiplatform.googleapis.com) on your project.
lab-sandbox — simulated environment
INFINITY LAB SANDBOX v2.6 — simulated shell
Type the command for the current objective. Helpers: "hint", "solution", "clear".
$
OBJECTIVE 1 / 2 — type "hint" if stuck
SYNAPSE VERIFICATION
QUERY 1 // 2
What is the Vertex AI Model Garden?
A UI for testing prompts
A library of 200+ foundation, open-source, and third-party models
A new vector database
A code generation tool