AI Private

Introduction to Generative AI with Gemini (AI101-GEM)

2 days

AIGoogle Gemini

This course introduces generative AI and Google's Gemini App to professional end users who are new to AI tools or just getting started.

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Course Overview

This course introduces generative AI and Google's Gemini App to professional end users who are new to AI tools or just getting started. No technical background is required. Over two days, participants explore how large language models work, how to communicate with them effectively through prompting and context engineering, and how to use Gemini's full suite of features for real workplace tasks: from drafting and research to building reusable AI workflows.

By the end of the course, participants will be able to use the Gemini App with confidence across a wide range of professional tasks. They will understand how generative AI works at a conceptual level, write effective prompts, apply responsible use practices, and take advantage of Gemini's more advanced features: Gems for recurring workflows, Deep Research for sourced multi-topic reports, Canvas for collaborative document drafting, image generation for original visuals, and NotebookLM for working directly with their own document libraries.

Course Benefits

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

Explain what generative AI is, how large language models generate text, and how they differ from traditional software and search engines
Navigate the Gemini App interface and select the appropriate model for a given task
Apply a four-element framework (task, context, format, and tone) to write clear and effective prompts
Use common prompting patterns for professional tasks including summarizing, drafting, analyzing, and transforming content
Identify the types of errors AI tools produce, assess risk levels for different tasks, and apply a practical verification habit
Recognize what types of information should not be submitted to AI tools and explain the privacy and confidentiality considerations
Use context engineering techniques including role framing, background, constraints, examples, and file uploads to improve output quality
Build and refine multi-turn conversations to iteratively improve AI outputs
Use Gemini for common workplace tasks: drafting documents, summarizing materials, researching topics, and brainstorming ideas
Create and configure Gems as reusable AI assistants for recurring professional tasks
Conduct multi-source research using Deep Research and evaluate the resulting cited reports
Draft and iteratively refine longer documents using Canvas
Generate and edit professional images from text descriptions
Create a NotebookLM notebook, add source documents, and use the Q&A interface and Audio Overview features to work with your own materials

Delivery Methods

Private Class
Delivered for your team at your site or online.

Course Outline

Lesson 1: What Is Generative AI?

From Rules to Patterns: How AI Has Changed
How Large Language Models Work
What Generative AI Is (and Is Not)
The Gemini Family: Models and Use Cases
A Tour of the Gemini App
First Impressions (Exercise)
Flash vs. Pro (Exercise)

Lesson 2: Writing Effective Prompts

What Is a Prompt?
The Four Elements of a Strong Prompt
Common Prompting Patterns
Weak Prompts vs. Strong Prompts
Formatting Your Output
Prompt Makeover (Exercise)
Summarize a Policy Document (Exercise)
Generate a Status Update (Exercise)

Lesson 3: Responsible AI Use

How AI Hallucinations Happen
The Spectrum of AI Errors
What Not to Share with AI Tools
Building a Verification Habit
Spot the Hallucination (Exercise)
Privacy Scenario Review (Exercise)

Lesson 4: Context Engineering

Prompt Engineering vs. Context Engineering
Role Framing
Providing Background and Constraints
Using Examples to Guide Output (Few-Shot Prompting)
Multi-Turn Conversations: Building Context Over Time
Uploading Files for Context
Add Context, Get Better Results (Exercise)
Analyze a Budget Report (Exercise)

Lesson 5: Using Gemini for Everyday Work

Gemini as a Writing Partner
Researching and Synthesizing Information
Brainstorming and Ideation
Iterating and Refining Outputs
Draft a Professional Memo (Exercise)
Build a Research Briefing (Exercise)

Lesson 6: Gems — Building Reusable AI Workflows

What Are Gems?
When Gems Are Worth Building
Building a Gem: Instructions and Configuration
Using and Refining Gems
Create a Policy Summarizer Gem (Exercise)
Put the Gem to Work (Exercise)

Lesson 7: Deep Research

What Is Deep Research?
When to Use Deep Research
Reading and Evaluating a Deep Research Report
Refining a Deep Research Query
Research a Policy Topic (Exercise)
Compare Two Research Approaches (Exercise)

Lesson 8: Canvas and Image Generation

What Is Canvas?
Canvas vs. Chat: When to Use Each
Drafting and Editing in Canvas
Image Generation in Gemini
Editing and Iterating on Images
Draft a Report in Canvas (Exercise)
Generate a Professional Visual (Exercise)

Lesson 9: NotebookLM

What Is NotebookLM?
NotebookLM vs. Gemini Chat: Choosing the Right Tool
Creating a Notebook and Adding Sources
NotebookLM Extras: Audio Overviews, Mind Maps, and Study Guides
Build a NotebookLM Notebook (Exercise)
Generate an Audio Overview (Exercise)

Class Materials

Each student receives a comprehensive set of materials, including course notes and all class examples.

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