Use Gemini Enterprise to complete everyday business tasks more efficiently.
Many business professionals spend significant time searching for information, preparing documents, summarising content, analysing data, and responding to routine requests.
This course demonstrates how Gemini Enterprise can support these activities using secure enterprise AI while helping users produce consistent, high-quality work across daily business operations.
- Why get trained: Learn how to use Gemini Enterprise to create business documents, summarise reports, analyse information, generate presentations, improve collaboration, work with enterprise knowledge, and apply effective prompting techniques while following responsible AI practices.
- Why it matters: AI is becoming part of everyday business software. Professionals who know how to work effectively with enterprise AI can reduce repetitive work, improve the quality of business documents, locate information more quickly, and spend more time on analysis, planning, and decision-making.
- Who should attend: Business professionals, managers, business analysts, project managers, sales professionals, marketing teams, HR professionals, finance teams, operations personnel, executives, and knowledge workers who want to improve productivity using Google Gemini Enterprise.
Apply practical AI techniques that simplify daily work, improve document quality, and help teams complete routine business tasks more efficiently. HRD Corp Claimable.
Overview
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 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.
Skills Covered
- 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 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, as well as Gemini Enterprise Power Users who will leverage Agent Designer to build their own agents.
Module 1: What is generative AI?
Objective: Explain the capabilities of generative AI and list possible use cases.
- Definition of generative AI
- Capabilities of generative AI
- Tasks generative AI can help with
Module 2: Searching vs prompting
Objective: Identify the differences between keyword search and prompting, and list the benefits of prompting.
- Differences between keyword search and prompting
- Prompt examples
- The benefits of prompting
Module 3: Gemini Enterprise walkthrough
Objective: Describe Gemini Enterprise’s main capabilities for using enterprise-wide search and assistant features.
- 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
Module 4: NotebookLM walkthrough
Objective: Describe NotebookLM’s main features for getting additional insights around proprietary documents.
- Overview and business value
- Add files to NotebookLM or discover sources online
- Get summaries and chat about your files in NotebookLM
- Generate insightful outputs in NotebookLM
- Use cases for your business
- Tips and tricks for getting started
Module 5: Agents in Gemini Enterprise
Objective: Identify different agent types available for Gemini Enterprise and explain how to use the Deep Research Agent.
- Agent capabilities and use cases
- The spectrum of agents in Gemini Enterprise
- Perform complex research on a topic with the Deep Research agent
Module 6: Agent Designer overview
Objective: Describe options for building an agent with Agent Designer
- Benefits of no-code agents in Gemini Enterprise
- How Agent Designer works
- Agent Designer walkthrough
- Summary of Agent Designer capabilities
Module 7: Build no-code agents in Gemini Enterprise
Objective: Describe options for building an agent with Agent Designer
- Create a Welcome Email Draft agent (single-step agent)
- Create a Company Financial Analysis agent (multi-step agent)
- Create an X posts creator agent
Dates & Locations
Exam & Certification
Note: There is no exam directly associated with this course. However, Google Cloud offers an extensive portfolio of industry-recognized certifications that can help you stand out as a tech professional in 2026 and beyond. Obtaining a Google Cloud certified credential is one of the most effective ways to validate your skills and accelerate your career.
With our expert-led training, you’ll be prepared to:
- Master in-demand capabilities across Cloud, Data & AI, and Cybersecurity — areas driving global digital transformation.
- Prove your expertise with a globally respected credential recognized by employers worldwide.
- Advance your career by enhancing your credibility, increasing your earning potential, and opening doors to new opportunities.
Explore our full range of Google Cloud certifications and start building the skills that matter today.
Training & Certification Guide
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All courses are HRD Claimable.
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