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.
Overview
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