Gemini for Google Workspace

Overview

This one-day, instructor-led course introduces learners to Gemini for Google Workspace, equipping them with practical skills to use generative AI features embedded within Google applications. The course covers how to enhance communication, collaboration, and productivity using Gemini in Gmail, Docs, Sheets, Slides, Meet, and Drive. Learners will also explore AI tools like NotebookLM and Agentspace, supporting a broader AI-driven workplace strategy.

Designed to deliver hands-on experience with guided exercises, this course ensures participants can confidently use Gemini features to create content, visualise ideas, summarise data, and personalise AI assistants in everyday workflows.

Prerequisites

There are no mandatory prerequisites for this course. However, familiarity with basic Google Workspace applications (such as Gmail, Docs, and Drive) will support a smoother learning experience.

Target audience

This course is ideal for:

• Individuals and teams using Google Workspace who wish to improve productivity through AI
• Professionals seeking to understand and apply generative AI tools in daily tasks
• Organisations aiming to integrate AI capabilities into business processes

Objectives

By the end of this course, learners will be able to:

• Describe the core capabilities and responsible use of Gemini for Google Workspace
• Generate and refine email and document content using Gemini in Gmail and Docs
• Create AI-enhanced presentations and visuals with Gemini in Slides
• Build structured trackers and plans using Gemini in Sheets
• Utilise Gemini in Meet to enhance virtual collaboration with AI-generated backgrounds, notes, and captions
• Synthesise and summarise information using Gemini in Google Drive
• Personalise AI assistants using NotebookLM
• Explore Agentspace as a tool for search and AI integration across enterprise data sources

Outline

Getting started with Gemini for Google Workspace

• Understanding generative AI: benefits, risks, and applications
• Overview of Gemini features within the Workspace Enterprise add-on
• Using AI responsibly in business environments

Using Gemini in Gmail

• Writing new email drafts with AI prompts
• Refining tone, clarity, and structure in emails
• Guided exercise: Write and refine an email in Gmail

Using Gemini in Google Docs

• Generating new content using AI
• Enhancing grammar, tone, and structure in existing text
• Guided exercise: Generate and refine a document in Docs

Creating visuals with Gemini in Google Slides

• Creating AI-generated images for presentations
• Applying stylistic elements and visual enhancements
• Guided exercise: Design and style images in Slides

Building plans in Google Sheets using Gemini

• Creating structured project plans and trackers
• Customising tables through AI-powered prompt editing
• Guided exercise: Develop a project tracker in Sheets

Enhancing meetings with Gemini in Google Meet

• Designing custom meeting backgrounds
• Generating translated captions
• Taking AI-driven meeting notes
• Guided exercise: Build a meeting background, apply translation, and take notes

Summarising content using Gemini in Google Drive

• Searching and analysing content across multiple files
• Synthesising and summarising using Workspace and web data
• Real-world scenario: Ask questions and summarise insights using Gemini

AI assistants and enterprise search with NotebookLM and Agentspace

• Personalising support with NotebookLM
• Creating audio summaries of document collections
• Understanding Agentspace and enterprise-wide AI data search

Exams and assessments

There are no formal exams or certifications associated with this course. Learners will engage with interactive tasks and guided exercises throughout to consolidate their understanding of Gemini tools.

Hands-on learning

This course features multiple practical exercises to develop and refine real-world outputs using Gemini tools. From writing and design tasks to information synthesis and team collaboration, learners will receive instructor support and feedback throughout hands-on labs.