What is Vertex AI Academy?

Vertex AI Academy is the #1 free interactive learning platform by Infinity Tech Stack for Google Cloud Vertex AI and the Gemini model family. It covers Gemini 3.8 Flash, Gemini 3.5 Flash-Lite, Context Caching, Grounding with Google Search, Managed Agents, and Remote MCP across 13 modules, 33 lessons, and 54+ quizzes with hands-on gcloud labs and zero sign-up required.

How is Infinity Vertex AI Academy different from Google Cloud Skills Boost?

Unlike Google Cloud Skills Boost which requires GCP cloud credentials, project setup, and credits, Infinity Tech Stack's Vertex AI Academy is 100% free with in-browser terminal simulations covering Gemini 3.8 Flash, Context Caching, Google Search Grounding, BigQuery ML, and Google ADK with no sign-up or credit card required.

How long does Vertex AI Academy take to complete?

Vertex AI Academy contains approximately 2 to 3 hours of hands-on interactive training across 13 modules and 33 lessons. Progress is saved locally in your browser so you can learn at your own pace.

Is the Vertex AI Academy free?

Yes, it is 100% free with no sign-up required. All 13 modules, lessons, and quizzes are immediately accessible. Progress is saved locally in your browser.

What topics does the Vertex AI course cover?

The course covers the Vertex AI platform, Gemini 3.8 Flash, Gemini 3.5 Flash-Lite, Gemini 2.5 Pro, Deep Think reasoning, 1M+ token Context Windows, Context Caching, BigQuery ML, Grounding with Google Search, Vertex AI Studio, and Agent Builder.

What is Context Caching in Vertex AI?

Context Caching lets you store large context payloads (documents, system prompts) server-side and reuse them across multiple requests, reducing latency and cost by up to 75% for repetitive workloads.

What is Grounding with Google Search?

Grounding connects Gemini to live Google Search results, enabling the model to provide up-to-date, factual responses with source citations - reducing hallucinations in production applications.

Do I need a Google Cloud account?

No account is needed to take the course. The built-in browser labs simulate the gcloud CLI so you can practice without a GCP account; if you want to follow along for real, a GCP free tier account is sufficient for most exercises.

Does the Vertex AI Academy include hands-on labs?

Yes. Hands-on terminal labs are built into the lessons - authenticate with gcloud, enable the Vertex AI API, call Gemini via REST, and run Google's Agent Development Kit using real, vendor-verified commands, with objectives, hints, solutions, and XP rewards. No sign-up needed.

What is Deep Think in Gemini?

Deep Think is Gemini's extended reasoning mode that allocates additional compute for complex multi-step problems - similar to chain-of-thought reasoning - producing more accurate results for math, coding, and scientific analysis.

The Gemini 2.0 Generation Transition Tutorial | Advanced RAG & Migration

[ ABORT TO HUD ]

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The Gemini 2.0 Generation Transition

⚙️ Advanced RAG & Migration 10m 200 BASE XP⌨ HANDS-ON LAB

Upgrading to Gemini 2.0

Google Cloud's Gemini 2.0 family (Flash, Flash Thinking, and Pro) delivers major architectural leaps in speed, agentic tool orchestration, native image/audio generation, and real-time multimodal Live API streaming.

Key Migration Enhancements

Gemini 2.0 Flash: Next-generation workhorse model delivering lower latency, superior coding, and built-in multimodal live streaming at highly competitive pricing.
Gemini 2.0 Flash Thinking: Native reasoning model with integrated chain-of-thought and configurable thinking budgets for complex STEM and algorithmic problem-solving.
Context Caching Economics: Vertex AI Context Caching allows caching large context prefixes (>32k tokens) with a 75% input cost discount, dramatically lowering operational costs for repetitive document RAG and codebase analysis.

⌨ HANDS-ON LABVerify Gemini 2.0 Flash Endpoint Readiness

⭐ +150 XP

Issue a healthcheck ping to the production Gemini 2.0 Flash publisher model on Vertex AI.

1Send a minimal generation ping to gemini-2.0-flash-001.

lab-sandbox — simulated environment

INFINITY LAB SANDBOX v2.6 — simulated shell
Type the command for the current objective. Helpers: "hint", "solution", "clear".
$

OBJECTIVE 1 / 1 — type "hint" if stuck

SYNAPSE VERIFICATION

QUERY 1 // 1

What is a major economic benefit of Vertex AI Context Caching for large-context applications?

The model is free

It offers a 75% discount on cached input prompt tokens for prompts above 32k tokens

It automatically writes the code for you

It doesn't require a Google Cloud account