Introduction to Gemini Enterprise (IGA)

 

Course Overview

This course introduces Gemini Enterprise, a powerful platform that brings together AI agents, enterprise search, NotebookLM, and intelligent data access to solve organizational challenges. Through real-world examples, learners will be able to connect Gemini Enterprise capabilities to real business needs, describe its architecture, and explain how it handles data access and privacy across roles.

Who should attend

  • Business professionals and decision-makers seeking to improve data discovery and access.
  • IT and data professionals looking to streamline organizational knowledge and reduce data silos.
  • Teams exploring how to implement AI agents and LLMs for enterprise search and collaboration.
  • Anyone interested in understanding secure, role-based access to enterprise data using Google Cloud tools.

Prerequisites

  • An interest in improving data discovery, access, and collaboration across teams.
  • Some experience with cloud platforms like Google Cloud is recommended.

Course Objectives

  • Apply Gemini Enterprise concepts to a case study scenario.
  • Describe how Gemini Enterprise could benefit an organization.
  • Explore how AI agents, large language models (s), and other key components of Gemini Enterprise work together to enable discovery and insight.
  • Explain how Gemini Enterprise supports secure, role-based access to data while aligning with Google Cloud security best practices.

Outline: Introduction to Gemini Enterprise (IGA)

Module 1 - Google Gemini Enterprise overview

Topics

  • Gemini Enterprise

Objectives

  • Describe the overall purpose of Gemini Enterprise
  • List the key user interface features of the Gemini Enterprise homepage.
  • Describe the key functions available in Gemini Enterprise.

Activities

  • Demo: Instructor Gemini Enterprise demo
  • Quiz

Module 2 - Why Gemini Enterprise: A practical use case

Topics

  • A practical Gemini Enterprise use case

Objectives

  • List data silo and fragmentation pain points at Cymbal Food.
  • Describe contributing factors to Cymbal Food’s pain points.
  • Identify data silo and fragmentation pain points and its contributing factors at your own organization.

Activities

  • Class activity: Examine data silo painpoints

Module 3 - Gemini Enterprise and Google Cloud security

Topics

  • How Gemini Enterprise handles data access and privacy

Objectives

  • Describe the key benefits of Google Cloud security.
  • Define what security authentication and authorization mean.
  • List the data access and privacy security features of Gemini Enterprise.
  • Describe an example of how Gemini Enterprise provides data access for specific roles.

Activities

  • Quiz

Module 4 - Gemini Enterprise: Technical elements

Topics

  • Gemini Enterprise technical components

Objectives

  • List the key technical elements of Gemini Enterprise.
  • Describe Gemini Enterprise technical elements workflow.

Activities

  • Quiz

Module 5 - Course summary

Topics

  • Summarize key topics

Objectives

  • Use Gemini Enterprise.
  • Describe how security works between Gemini Enterprise and Google Cloud security.
  • List examples of how Gemini Enterprise is used by different role profiles.
  • Explain how Gemini Enterprise technical elements work to produce an output

Prices & Delivery methods

Online Training

Duration
3 hours

Price
  • CAD 485
Classroom Training

Duration
3 hours

Price
  • Canada: CAD 485

Schedule

Currently there are no training dates scheduled for this course.