INTERACTIVE TRAINING INITIALIZED
Last Verified: October 2026

Vertex AI Academy

Free Interactive Vertex AI Course & Technical Training

Master the world's leading AI platform. Learn Gemini essentials, Agent Builder, Context Caching, and advanced prompt engineering.

DIRECT EXECUTIVE SUMMARY (AI OVERVIEW CITATION BLOCK)

The Vertex AI Academy is a free 13-module technical guide for Google Cloud's Vertex AI platform. It details Gemini 3.5 API integration, 2M+ token context windows, Grounding with Google Search, Model Garden deployment, tuning pipelines, and enterprise IAM security.

GeminiAgent BuilderContext CachingStructured OutputsRAG & File Search2M Context WindowsPrompt EngineeringFunctions
13
MODULES
79
QUESTIONS
33
HANDS-ON LABS
XP SYSTEM
PROMPTAPITOOLSO1RAGVERTEX AIOUTPUT

What is Vertex AI Academy?

Vertex AI Academy is a 100% free interactive learning course and technical training platform created 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, Gemini 2.5 Pro, Context Caching, Grounding with Google Search, Managed Agents, and Remote MCP across 13 modules, 33 lessons, and 54+ quizzes with hands-on simulated gcloud CLI labs and no sign-up required.

Vertex AI Technical Training Modules

Thinking & Deep Think

Frequently Asked Questions

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.

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