Overview

This practical course teaches participants how to use Google Gemini to conduct research, generate written content, analyze information, automate repetitive tasks, and build a personalized AI workflow with tools like Gems, Deep Research, NotebookLM, and Google Workspace.

Syllabus

Module 1: Getting Started with Google Gemini

Explain how Gemini processes information and what the context window means practically
Select the right model tier (Flash Lite, Flash, Pro, Deep Think) for different tasks
Navigate the Gemini app confidently and understand plan options (Free, AI Pro, AI Ultra, Workspace)

Module 2: Prompting Fundamentals and Working with Files

Write prompts using the five-component framework (context, task, format, constraints, examples)
Upload and analyze multiple file types in conversation, including images, video, and audio
Diagnose and fix weak prompts

Module 3: Gems — Building Custom AI Experts

Create a Gem with custom instructions tailored to a specific work task
Use the Productivity Planner Gem to synthesize calendar, email, and document information
Explain how Gems differ from regular conversations and when to use each

Module 4: Canvas, Memory, and Usage Management

Create and iterate on interactive content in Canvas
Configure Memory settings and review what Gemini remembers
Apply usage management practices to extend your plan’s AI credits

Module 5: Advanced Prompting and Power Features

Use role-based prompting to shape Gemini’s perspective
Break complex tasks into multi-step prompts
Use Deep Think mode for problems requiring extended reasoning
Use the “You ask me” technique to replace prompt engineering with guided conversation

Module 6: Gemini vs. Other AI Tools — Making Smart Choices

Identify which AI tool is strongest for a given task type
Articulate Gemini’s key differentiators and limitations
Evaluate AI tool outputs critically

Module 7: Deep Research

Use Deep Research to produce a multi-page report on a work-relevant topic
Customize a research plan before execution for targeted results
Upload personal files as additional sources for a Deep Research report
Transform a research report into an interactive Canvas deliverable

Module 8: NotebookLM — Source-Grounded Intelligence

Create a NotebookLM notebook with multiple source documents
Ask questions and receive cited, source-grounded answers
Generate an Audio Overview from uploaded documents
Add a NotebookLM notebook as a source in a Gemini conversation

Module 9: Gemini in Google Workspace — Docs, Sheets, and Slides

Use Gemini’s side panel in Docs to draft, edit, and summarize documents
Use Gemini in Sheets to write formulas, analyze data, and create visualizations
Use Gemini in Slides to create a presentation from data or a prompt
Complete a cross-app workflow from data analysis to finished presentation

Module 10: Extensions, Gmail, Calendar, and Drive

Enable and configure Google Apps Extensions in Gemini
Use Gemini with Gmail to draft, summarize, and search email
Query Calendar and Drive data within a Gemini conversation
Complete a cross-extension workflow combining multiple Google apps

Module 11: Chrome, Workspace Flows, and Scheduled Actions

Use Gemini in Chrome’s side panel for web research and summarization
Create a Workspace Flow that automates a multi-step process
Set up a Scheduled Action for a recurring work task

Module 12: Privacy, Security, and Responsible Use

Explain Google’s data privacy policies for Gemini and Workspace AI features
Recognize signs of prompt injection and apply mitigation strategies
Configure Gemini use appropriate to your organization’s data sensitivity

Module 13: Industry Applications — Gemini in Action Across Roles

Complete at least two industry scenarios relevant to your role
Produce deliverables using the full Gemini stack (Gems + Deep Research + NotebookLM + Workspace)