GCP100GEMINIENTBUSINESS
Gemini Enterprise and NotebookLM Essentials for Business Users
This course equips business professionals with essential skills for leveraging Gemini Enterprise and NotebookLM. It covers generative AI basics, effective prompting, and using Gemini Enterprise for enterprise-wide search and assistance. The training also details NotebookLM'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.
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 best practices for prompt design.
- Describe Gemini Enterprise's main capabilities for using enterprise-wide search and assistant features.
- Describe NotebookLM's main features for getting additional insights around proprietary documents.
- Identify different agent types available for Gemini Enterprise and explain how to use the Deep Research Agent.
- Describe options for building an agent with Agent Designer.
Prerequisites
- There are no prerequisites for this course. It aims to provide introductory insights into Gemini Enterprise and NotebookLM, making it suitable for individuals with varying levels of AI expertise.
Target audience
- Business professionals who apply generative AI techniques to solve common day-to-day tasks
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, and 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.
Topics covered
- →The value of Gemini Enterprise
- →Overview of the platform
- →Find information with natural language
- →Chat about your own files with Gemini Enterprise and get work done faster
Activities
2x Demonstration
Objectives
- Describe NotebookLM's main features for getting additional insights around proprietary documents.
Topics covered
- →The value of NotebookLM
- →Your checklist and considerations before creating a notebook
- →Usage Limits
- →Add files to NotebookLM or discover sources online
- →Get summaries and chat about your files in NotebookLM
- →Generate insightful outputs in NotebookLM
Activities
3x Demonstration
Objectives
- Identify different agent types available for Gemini Enterprise and explain how to use the Deep Research Agent.
Topics covered
- →Agent capabilities and use cases
- →The spectrum of agents in Gemini Enterprise
- →Perform complex research on a topic with the Deep Research agent
Activities
Demonstration
Objectives
- Describe options for building an agent with Agent Designer.
Topics covered
- →Benefits of no-code agents in Gemini Enterprise
- →How Agent Designer works
- →Agent Designer walkthrough
- →Summary of Agent Designer capabilities
Activities
Demonstration
Objectives
- Describe options for building an agent with Agent Designer.
Topics covered
- →Create a Welcome Email Draft agent (single-step agent)
- →Create a Company Financial Analysis agent (multi-step agent)
- →Create an X posts creator agent
Activities
3x Demonstration
Topics covered
- →Compare products
- →Quiz questions
- →Q&A and feedback survey
Activities
Quiz
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.
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.
Register for a custom dateTrain multiple employees
- Volume discounts (multiple seats)
- Private or custom session
- On-site or remote