GOOGLE GEMINI ENTERPRISE — TRACK 1 / 5
Foundations of Google Gemini Enterprise
COMING SOON
The shared prerequisite for every Gemini Enterprise track. Understand the platform — agents, enterprise search, NotebookLM, intelligent data access — and how it secures and serves your organisation. Includes a guided console lab.
Google Cloud Premier Partner
The Workshop
Foundations of Google Gemini Enterprise
Grounded directly in Google's first-party catalog (Google Skills #1401), this 1-day track orients every audience to the Gemini Enterprise platform — its components, architecture, edition tiers, and security model. By the end you have deployed a Gemini Enterprise application in a guided console lab and connected it to Drive, Calendar, and Cloud Storage data stores.
- Describe Gemini Enterprise's core components — AI agents, enterprise search, NotebookLM, intelligent data access
- Articulate the 4-stage agent lifecycle (Build → Scale → Govern → Optimize)
- Map role-based use cases (knowledge work, IT, sales, marketing, HR, faculty)
- Distinguish Workforce Identity Federation from Workload Identity Federation
- Deploy a Gemini Enterprise application and connect it to GCS / Drive / Calendar
- Use Deep Research and NotebookLM Enterprise to synthesise across sources
THE CURRICULUM
What You Will Learn
Five modules mirroring Google Skills #1401 (Coursera: Introduction to Gemini Enterprise, 5 hours).
GEMINI ENTERPRISE OVERVIEW
60 MINWhat Gemini Enterprise is (formerly Google AgentSpace); the 4-stage agent lifecycle; pre-built Google agents (Deep Research, Idea Generation, NotebookLM Enterprise, Data Insights, Code Assist); edition tiers and where GE sits relative to Workspace-with-Gemini and Vertex AI.
WHY GEMINI ENTERPRISE — PRACTICAL USE CASES
60 MINRole-based examples showing how knowledge workers, IT, sales, marketing, HR, engineering, faculty, and students use Gemini Enterprise day-to-day. Deep dive on contextual understanding with NotebookLM Enterprise plus a guided practice session.
TECHNICAL ELEMENTS — SECURITY, PRIVACY, QUERY FLOW
60 MINHow a query flows end-to-end. Permission-aware access (connectors preserve source ACLs). Workforce Identity Federation (humans) vs Workload Identity Federation (software). Compliance posture (SOC 2, GDPR/PDPA, HIPAA, FedRAMP High). Encryption (AES-256, TLS, CMEK). Model Armor for prompt-injection and data-leak prevention.
HANDS-ON LAB — DEPLOY YOUR FIRST APPLICATION
90 MINConsole-based lab — deploy a Gemini Enterprise app, connect data stores (GCS, Drive, Calendar), interact with pre-built agents, run a Deep Research investigation, and analyse a curated corpus in NotebookLM.
COURSE SUMMARY & NEXT STEPS
30 MINRecap of platform components and lifecycle. Where to go next in the bootcamp series (Admin / Agent Eng / End-User / CX). Self-paced reading list. How to redeem GEAR's 35 monthly Google Skills credits.
Your Instructors
Prem Kumar
AI Architecture Expert
"Anyone can build an AI demo. I teach you how to build the architecture behind systems that scale, because the gap between prototype and production is where most teams get stuck."
Specialty
Clients: Broadcom, Oracle
Himal Rajan
Full Stack & AI Developer
"From React frontends to Python AI backends, I've spent my career building full-stack systems that actually ship, RAG pipelines, autonomous agents, and production APIs that handle real traffic. At RocketOne, I teach you the exact engineering decisions that turn an AI prototype into a system your users can depend on."
Specialty
Naveen Kumar
AI/ML Engineer
"I've built AI systems across Zoho, Virtusa, and now SquareShift, from machine learning pipelines to generative AI applications. At RocketOne, I teach you the practical skills to build AI-powered solutions that work in the real world, not just in notebooks."
Specialty