🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
GCPSPARKSGEMINIENT

Gemini Enterprise Essentials for Business and Power Users Training

This course equips business professionals with essential skills for leveraging Gemini Enterprise. It covers generative AI basics, effective prompting, and using Gemini Enterprise for enterprise-wide search and assistance.

The training also details Gemini Notebook's features for deep insights into proprietary documents and explains different AI agent types, including the Deep Research Agent, and examples of how to create no-code agents with Agent Designer.

Google Cloud
✓ Official training Google CloudLevel Fundamentals⏱️ 0.5 day (3h)

What you will learn

  • Explain the basics of generative AI and list possible use cases.
  • Identify the differences between keyword search and prompting, and list the benefits of prompting.
  • Describe Gemini Enterprise's main capabilities for using enterprise-wide search and assistant features.
  • Explain how to use the Deep Research Agent.
  • Describe Gemini Notebook's main features for getting additional insights around proprietary documents.
  • Differentiate between prompting the Gemini Enterprise assistant and an agent.
  • Identify different agent types available for Gemini Enterprise.
  • Describe options for building an agent with Agent Designer.
  • Explore use cases for building an agent with Agent Designer.

Prerequisites

  • There are no other prerequisites for this course. It aims to provide introductory insights into Gemini Enterprise, making it suitable for individuals with varying levels of AI expertise.

Target audience

  • Gemini Enterprise Business Users who want to understand the full set of features of the product, Gemini Enterprise Power Users who will leverage Agent Designer to build their own agents

Training Program

8 modules to master the fundamentals

Objectives
  • Explain the capabilities of generative AI and list possible use cases.
Topics covered
  • →Definition of generative AI
  • →Capabilities of generative AI
  • →Tasks generative AI can help with
Objectives
  • Identify the differences between keyword search and prompting.
  • List the benefits of prompting.
Topics covered
  • →Differences between keyword search and prompting
  • →Prompt examples
  • →The benefits of prompting
Objectives
  • Describe Gemini Enterprise's main capabilities for using enterprise-wide search and assistant features.
  • Explain how to use the Deep Research Agent.
Topics covered
  • →Overview and business value
  • →Find information with natural language
  • →Chat about your own files with Gemini Enterprise and get work done faster
  • →Perform complex research on a topic with the Deep Research agent
Activities

3x demos

Objectives
  • Describe Gemini Notebook's main features for getting additional insights around proprietary documents.
Topics covered
  • →Overview and business value
  • →Add files to Gemini Notebook or discover sources online
  • →Get summaries and chat about your files in Gemini Notebook
  • →Generate insightful outputs in Gemini Notebook
  • →Use cases for your business
  • →Tips and tricks for getting started
Activities

3x demos

Objectives
  • Differentiate between prompting the Gemini Enterprise assistant and an agent.
  • Identify different agent types available for Gemini Enterprise.
Topics covered
  • →What is an agent?
  • →Agent types in Gemini Enterprise
Activities

2x demos

Objectives
  • Describe options for building an agent with Agent Designer.
Topics covered
  • →Introduction to Agent Designer
  • →How to prompt Agent Designer
  • →Example: How to build a no-code agent
  • →Agent Designer capabilities
  • →Agent Designer best practices
Activities

1x demo

Objectives
  • Explore use cases for building an agent with Agent Designer.
Topics covered
  • →Transform technical whitepapers into actionable assets
  • →Prepare for a strategic client meeting
  • →Derive insights from structured data
Activities

3x demos

Topics covered
  • →Compare products
  • →Quiz questions
  • →Q&A and feedback survey
Activities

1x quiz

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Upcoming sessions

No date suits you?

We regularly organize new sessions. Contact us to find out about upcoming dates or to schedule a session at a date of your choice.

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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.
  • 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.

Frequently Asked Questions

This course is designed for Gemini Enterprise Business Users who want to understand the full set of features, and Power Users who will leverage Agent Designer to build their own no-code agents.
No. There are no prerequisites for this course. It provides introductory insights into Gemini Enterprise and is suitable for individuals with varying levels of AI expertise.
The course lasts 3 hours and is delivered in an instructor-led format with 12 live demos and 1 quiz.
Gemini Notebook is a tool for getting deep insights from proprietary documents. Module 4 covers its features in detail, including adding sources, generating summaries, and creating insightful outputs.
Yes. Modules 6 and 7 cover Agent Designer, a no-code tool for building agents in Gemini Enterprise. You will see demos of single-step, multi-step, and specialized agents.
Yes. This is an official Google Cloud Sparks course delivered by SFEIR Institute, a certified Google Cloud Training Partner.

790€ excl. VAT

per learner

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