GCP100GEMINIENT

Introduction to Gemini Enterprise

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.

Google Cloud
✓ Official training Google CloudLevel Fundamentals⏱️ 1 day (7h)

What you will learn

  • 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.

Prerequisites

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

Target audience

  • 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.

Training Program

5 modules to master the fundamentals

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.

Topics covered

  • →Gemini Enterprise

Activities

Demo: Instructor Gemini Enterprise demo

Quiz

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.

Topics covered

  • →A practical Gemini Enterprise use case

Activities

Class activity: Examine data silo painpoints

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.

Topics covered

  • →How Gemini Enterprise handles data access and privacy

Activities

Quiz

Objectives

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

Topics covered

  • →Gemini Enterprise technical components

Activities

Quiz

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

Topics covered

  • →Summarize key topics

Quality Process

SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach

Teaching Methods Used
  • Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
  • Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
  • Guided Labs — Guided practical exercises on software, hardware, or technical environments.
  • Quiz / MCQ — Quick knowledge check (paper-based or digital via tools like Kahoot/Klaxoon).
Evaluation and Monitoring System

The achievement of training objectives is evaluated at multiple levels to ensure quality:

  • Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
  • Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
  • Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.

Upcoming sessions

January 22, 2026
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March 20, 2026
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May 22, 2026
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July 24, 2026
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September 25, 2026
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November 27, 2026
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790€ excl. VAT

per learner