Learning Objectives

• Explain what Google Gemini is and how it fits within the Google Workspace ecosystem
• Access and navigate the Gemini app and Gemini features inside Workspace applications
• Write clear, effective prompts that produce useful and accurate outputs
• Use Gemini in Gmail to draft, summarize, and respond to emails
• Use Gemini in Docs to generate, rewrite, and refine written content
• Use Gemini in Sheets to analyze data, generate formulas, and summarize information
• Use Gemini in Meet to generate meeting summaries and action items
• Apply prompt refinement strategies to improve Gemini responses iteratively
• Identify appropriate and inappropriate use cases for Gemini in a business context
• Build repeatable AI-assisted workflows for common workplace tasks

Course Outline

Module 1: Introduction to Google Gemini

This module establishes foundational knowledge about what Gemini is, how it works at a conceptual level, and where it lives in the Google ecosystem. Students will learn the difference between the standalone Gemini app and Gemini features embedded in Workspace, understand what large language models do and do not do well, and review Google’s published guidelines on data privacy and appropriate business use.

Module 2: Prompting Fundamentals

Effective prompting is the core skill for getting value from any generative AI tool. This module covers the anatomy of a good prompt, including role, context, task, and format components. Students will practice writing prompts from scratch, compare outputs from vague versus specific prompts, and learn iterative refinement techniques to improve results without starting over. Common prompting mistakes and how to avoid them are also addressed.

Module 3: Gemini in Gmail and Google Docs

Students will work directly with Gemini inside Gmail and Docs during this hands-on module. In Gmail, the focus is on using Help me write to draft new messages, summarizing long email threads, and generating quick replies. In Docs, students practice generating first drafts from a brief description, rewriting content for tone or length, summarizing long documents, and using the side panel to ask questions about document content.

Module 4: Gemini in Google Sheets and Meet

This module covers Gemini’s role in data-oriented and meeting-related workflows. In Sheets, students learn to use Gemini to interpret tabular data, generate and explain formulas, and produce plain-language summaries of data ranges. In Meet, the focus is on enabling Gemini to take notes during a session, reviewing auto-generated meeting summaries, and extracting action items from the transcript after a call ends.

Module 5: Using the Gemini App for Business Tasks

The standalone Gemini app at gemini.google.com serves as a general-purpose AI assistant outside of specific Workspace documents. This module covers use cases such as research and briefing preparation, generating outlines and templates, brainstorming options for a business problem, drafting communications or social content, and using Gems (custom Gemini configurations) where available. Students will also review how to share, export, and continue Gemini conversations.

Module 6: Building Practical AI-Assisted Workflows

The final module ties together the day’s skills through scenario-based exercises reflecting real workplace situations such as preparing a weekly status report, processing a backlog of emails, summarizing a meeting and distributing action items, and cleaning up a data table in Sheets. Students discuss which tasks are good candidates for AI assistance, where human review remains essential, and how to document and share effective prompts with colleagues. The session closes with a review of key concepts and a Q&A.