AI for the Workplace with Gemini
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Book live on Noble DesktopSummary
This hands-on course helps participants develop practical, workplace-ready skills with Google Gemini AI, from foundational prompting through more advanced workflows. You will learn how to write effective prompts, work with files and multimedia, create custom Gems, use Canvas and Memory, and apply features such as Deep Research and NotebookLM to research, analysis, writing, and knowledge management tasks.
The course also covers using Gemini with Google Workspace tools, including Docs, Sheets, Slides, Gmail, and Drive, along with setting up automations through Extensions, Scheduled Actions, and Workspace Flows. Through guided exercises and a capstone project, participants will create a personalized Gemini system tailored to their role and leave with practical deliverables they can use on the job.
Who this course is for
Professionals in any role or sector who want comprehensive, hands-on mastery of Google Gemini AI. No prior experience with Gemini, AI tools, or programming is required. Participants who use Google Workspace will get the most from Workspace-integrated exercises, but the course is designed so that anyone with a Gemini subscription can participate fully — exercises note which features require Workspace vs. a standalone Gemini plan.
Curriculum
What you'll learn
- Write structured prompts and use advanced techniques, including Deep Think mode and Google Search grounding
- Create Gems, use Canvas for interactive content, and configure Memory for persistent context
- Use Deep Research to produce automated, multi-page research reports and transform them into interactive deliverables
- Build source-grounded knowledge bases with NotebookLM and generate Audio Overviews
- Work with Gemini’s side panel in Google Docs, Sheets, Slides, Gmail, and Drive for real-time AI-assisted work
- Set up Extensions, Scheduled Actions, and Workspace Flows for cross-application automation
- Build a complete, personalized Gemini system for your own job — from task audit through finished deliverable
Course 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)
Module 14: Capstone — Build Your Personal Gemini System
- Identify high-impact AI opportunities in your own workflow
- Configure a complete Gemini system tailored to your job
- Produce a real deliverable through an end-to-end Gemini workflow
Module 15: Wrap-Up and Next Steps
- Articulate Gemini’s current limitations and appropriate use boundaries
- Follow the Week 1 action plan for sustained adoption
What's included
- Free course retake within one year to refresh the material and gain practice.
- Course workbook
- Class recordings
Stated by the provider. Confirm what your tuition covers before enrolling.
Live classes
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View the latest live class dates and availability on Noble Desktop.
Self-paced course
Learn through recorded lessons on your own schedule.
- Tuition
- $799
- Course length
- 12 hours
- Schedule
- On your schedule
This self-paced course helps participants develop practical, workplace-ready skills with Google Gemini AI, from introductory prompts through advanced workflows. You will learn how to write effective prompts, work with files and multimedia, create custom Gems, use Canvas and Memory, and apply advanced features such as Deep Research and NotebookLM to research, analysis, writing, and knowledge management tasks.
The course also covers using Gemini within Google Workspace tools such as Docs, Sheets, Slides, Gmail, and Drive, along with setting up automations through Extensions, Scheduled Actions, and Workspace Flows. Through guided exercises and a capstone project, participants will build a personalized Gemini system tailored to their role and leave with practical deliverables they can use on the job.
Who the self-paced course is for
Professionals in any role or sector who want comprehensive, hands-on mastery of Google Gemini AI. No prior experience with Gemini, AI tools, or programming is required. Participants who use Google Workspace will get the most from Workspace-integrated exercises, but the course is designed so that anyone with a Gemini subscription can participate fully — exercises note which features require Workspace vs. a standalone Gemini plan.
Self-paced curriculum
What you'll learn self-paced
- Write structured prompts and use advanced techniques, including Deep Think mode and Google Search grounding
- Create Gems, use Canvas for interactive content, and configure Memory for persistent context
- Use Deep Research to produce automated, multi-page research reports and transform them into interactive deliverables
- Build source-grounded knowledge bases with NotebookLM and generate Audio Overviews
- Work with Gemini’s side panel in Google Docs, Sheets, Slides, Gmail, and Drive for real-time AI-assisted work
- Set up Extensions, Scheduled Actions, and Workspace Flows for cross-application automation
- Build a complete, personalized Gemini system for your own job — from task audit through finished deliverable
Self-paced syllabus
Module 1: Getting Started with Claude AI
- Explain how Claude works in plain language.
- Identify the model tiers, plans, and key parts of the claude.ai interface.
- Practice starting a first conversation with Claude.
Module 2: Prompting Fundamentals & Working with Files
- Identify the core parts of an effective prompt, including context, task, format, constraints, and examples.
- Apply prompting across writing, summarization, analysis, research, and creative problem-solving.
- Work with images, PDFs, spreadsheets, screenshots, and handwritten notes in Claude.
Module 3: Projects — Organizing Ongoing Work
- Explain how Projects use custom instructions, knowledge bases, and RAG to organize ongoing work.
- Write effective Project instructions for real workplace tasks.
- Create a Project using real work documents.
Module 4: Artifacts, Skills, and Memory
- Create reusable deliverables with Artifacts.
- Customize how Claude communicates using Skills, custom instructions, and persistent context with Memory.
- Apply usage management tips to extend plan value.
Module 5: Intermediate Prompting & Advanced Features
- Use role-based prompting, chain-of-thought, and multi-step workflows.
- Apply advanced features such as web search, Extended Thinking, and the “You Ask Me” technique.
- Practice advanced prompting with real work scenarios.
Module 6: Claude vs. Other AI Tools
- Compare Claude with tools such as Copilot, Gemini, and ChatGPT.
- Choose the right tool for different types of work.
- Recognize data privacy considerations and organizational AI policies.
Module 7: Introduction to Claude Cowork
- Explain what Claude Cowork is and how it differs from claude.ai.
- Read, write, and manage files from the desktop environment.
- Complete a first Cowork task.
Module 8: Building Your Context System
- Build three foundational files: about-me, brand-voice, and working-style.
- Distinguish between Global Instructions and Folder Instructions.
- Use the AskUserQuestion workflow to improve context and outputs.
Module 9: Guardrails, Permissions, and Safe Use
- Configure file access controls, network egress, and privacy settings.
- Recognize prompt injection risks and mitigation strategies.
- Set up safety settings for secure use.
Module 10: Connectors, Claude for Chrome, and Office Add-Ins
- Connect tools such as Slack, Google Drive, Gmail, and more through MCP.
- Use Claude for Chrome, Claude for Excel, and Claude for PowerPoint.
- Build a multi-tool workflow across connected applications.
Module 11: Plugins and Scheduled Tasks
- Install domain-specific Plugins for functions such as Data, Marketing, HR, Finance, and Project Management.
- Use slash commands and recurring automations.
- Create a Scheduled Task and test a Plugin workflow.
Module 12: Industry Applications
- Apply Claude across role-specific scenarios in Data, Marketing, HR, Operations, Project Management, and Finance.
- Complete practical workflows using real files.
- Adapt Claude workflows to different job functions.
Module 13: Capstone — Build Your Personal Claude System
- Audit job tasks and identify high-value Claude use cases.
- Configure a personal Claude system and connect relevant tools.
- Run a complete end-to-end workflow that produces a real deliverable.
Module 14: Wrap-Up and Next Steps
- Review Claude’s limitations and available resources.
- Create a Week 1 action plan for applying what was learned.
- Identify next steps for continued use and improvement.
What's included with self-paced
- Course workbook
- Self-paced video lessons
Self-paced lessons
Watch free previews and explore the lessons included with enrollment at Noble Desktop.
AI for the Workplace with Gemini (Self-Paced)
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Course Welcome and Overview
Lesson 1: Getting Started with Gemini
2:45
Review the fifteen-module course structure covering prompting, gems, Canvas, deep research, NotebookLM, workspace integration, extensions, automation, and building a personalized Gemini system.
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Understanding Gemini's Core Technology
Lesson 1: Getting Started with Gemini
3:50
Explore how large language models generate text through pattern prediction, distinguish Gemini from traditional search engines, and examine multimodal capabilities and the one-million-token context window.
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Enrollment required
Gemini Models, Plans, and Interface
Lesson 1: Getting Started with Gemini
3:56
Compare Flash, Pro, and DeepThink model tiers, evaluate subscription plans from free through Ultra, and navigate the Gemini interface including the model selector and sidebar features.
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Your First Gemini Conversation
Lesson 1: Getting Started with Gemini
1:24
Practice composing a structured prompt with role context and formatting instructions, then refine the output through follow-up requests and iterative revision.
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The Five Component Prompt Structure
Lesson 2: Effective Prompting
3:05
Apply the five essential prompt components of context, task, format, constraints, and examples to transform vague requests into specific, high-quality outputs.
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Professional Use Cases and Patterns
Lesson 2: Effective Prompting
4:32
Identify five core use cases including writing, summarization, analysis, research, and creative problem solving, then apply prompt patterns tailored to each scenario.
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File Uploads and Common Mistakes
Lesson 2: Effective Prompting
3:40
Leverage multimodal file processing for PDFs, images, audio, and video while avoiding the five most common prompting mistakes that reduce output quality.
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Prompting Across Five Use Cases
Lesson 2: Effective Prompting
1:13
Practice the five-component prompt structure across writing, summarization, analysis, research, and problem-solving scenarios using real workplace tasks.
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Building Custom Gems
Lesson 3: Custom Gems
5:04
Distinguish gems from regular conversations, configure instruction fields with role and formatting rules, and iterate on gem performance through real-world testing.
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Gem Examples and Decision Framework
Lesson 3: Custom Gems
2:51
Examine the Productivity Planner gem with extension integration, apply a decision framework for when to create gems versus using standard conversations, and connect Google Apps extensions.
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Creating Your First Gem
Lesson 3: Custom Gems
1:11
Design and build a custom gem for a recurring workplace task, configure detailed instructions with role and formatting preferences, and test it with a real prompt.
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Canvas Workspace and Memory Features
Lesson 4: Canvas, Memory, and Usage
5:58
Explore Canvas for vibe coding, surgical editing, and app building, then configure memory and activity settings for persistent context across conversations.
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Practicing Canvas and Memory
Lesson 4: Canvas, Memory, and Usage
0:41
Create an interactive deliverable in Canvas using surgical editing techniques, then review and configure your activity log and memory retention settings.
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Managing Credits and Usage
Lesson 4: Canvas, Memory, and Usage
1:42
Apply credit-saving strategies by matching model tiers to task complexity, managing context windows through conversation hygiene, and monitoring subscription usage.
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Role Based and Chain of Thought Prompting
Lesson 5: Advanced Prompting Techniques
2:49
Assign professional roles to shape Gemini's perspective and vocabulary, then apply chain-of-thought reasoning to improve accuracy on complex analytical tasks.
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Multi Step Prompting and Search Grounding
Lesson 5: Advanced Prompting Techniques
2:23
Break complex deliverables into sequential prompting steps with review checkpoints, and leverage Google search grounding for real-time current information with source verification.
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DeepThink and the Interview Technique
Lesson 5: Advanced Prompting Techniques
2:49
Activate DeepThink extended reasoning for complex analytical problems, and apply the you-ask-me technique where Gemini interviews you to gather requirements before generating output.
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Practicing Advanced Techniques
Lesson 5: Advanced Prompting Techniques
1:04
Apply role-based, chain-of-thought, multi-step, and interview prompting techniques to real workplace scenarios, comparing output quality against basic one-shot prompts.
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Choosing the Right AI Tool
Lesson 6: Comparing AI Tools
4:19
Apply a three-step decision framework evaluating data location, task type, and organizational policy to select between Gemini, Claude, ChatGPT, and Copilot for each task.
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Comparing AI Tool Outputs
Lesson 6: Comparing AI Tools
0:52
Evaluate AI tool outputs side by side across quality, structure, accuracy, and usefulness dimensions using a real workplace task.
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Deep Research Overview
Lesson 7: Deep Research
2:23
Examine how deep research browses dozens of sources to produce cited multi-page reports, and customize research plans by adding, removing, or redirecting investigation angles.
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Research with Files and Canvas
Lesson 7: Deep Research
4:40
Combine uploaded files and workspace extension data with web research, then refine deep research reports in Canvas through surgical editing and export to Google Docs.
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Running a Deep Research Report
Lesson 7: Deep Research
1:09
Execute a deep research query on a work-relevant topic, review and modify the research plan, then refine the output in Canvas through condensing, expanding, and reorganizing sections.
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NotebookLM and Source Grounded AI
Lesson 8: NotebookLM
2:44
Distinguish NotebookLM's source-grounded citation-backed approach from Gemini's generative model, and evaluate when each tool provides the most reliable results.
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Notebooks, Audio, and Gemini Integration
Lesson 8: NotebookLM
5:30
Build and organize notebooks with up to fifty sources, generate podcast-style audio overviews, and reference NotebookLM knowledge bases directly within Gemini conversations.
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Building Your First Notebook
Lesson 8: NotebookLM
1:10
Create a NotebookLM notebook with real project sources, test suggested and custom queries, generate an audio overview, and explore built-in summary generators.
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Gemini as an Integrated Collaborator
Lesson 9: Gemini in Google Workspace
1:18
Activate Gemini's side panel across Google Docs, Sheets, Slides, and Gmail to work with document context directly, enabling seamless cross-app content workflows.
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Gemini in Docs, Sheets, and Slides
Lesson 9: Gemini in Google Workspace
3:37
Apply inline writing assistance and document summarization in Docs, natural language formula generation and data analysis in Sheets, and presentation building with speaker notes in Slides.
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Cross Application Workflows
Lesson 9: Gemini in Google Workspace
2:13
Trace data across Google Workspace apps through Gemini's shared AI context, moving analysis from Sheets to Slides and email summaries into formal response documents.
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Building a Cross App Workflow
Lesson 9: Gemini in Google Workspace
0:45
Complete a workflow spanning at least two Google Workspace apps using Gemini's side panel to experience integrated AI collaboration versus standalone chat.
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Connecting Gemini Extensions
Lesson 10: Extensions
1:45
Enable Gmail, Calendar, and Drive extensions to bridge Gemini with your data, invoke extensions using app symbols in prompts, and manage access permissions through settings.
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Gemini in Gmail, Calendar, and Drive
Lesson 10: Extensions
2:30
Summarize email threads with action items, combine calendar and Gmail data for meeting preparation, and search Drive document content with cross-extension synthesis queries.
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Testing Your Extensions
Lesson 10: Extensions
1:14
Enable and authenticate workspace extensions, test single-extension and cross-extension queries, and verify Drive content search capabilities with real work scenarios.
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Chrome Side Panel and Scheduled Actions
Lesson 11: Automation and Workflows
2:19
Analyze web page content through Chrome's Gemini side panel, create recurring scheduled actions using natural language, and manage active automations through settings.
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Workspace Studio Automation
Lesson 11: Automation and Workflows
2:59
Build multi-step automations in Workspace Studio using starters, steps, and variables, choosing between natural language descriptions, pre-built templates, and drag-and-drop canvas.
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Setting Up Your Automation
Lesson 11: Automation and Workflows
0:29
Create a scheduled action for recurring email and calendar summaries, then explore flows and extensions to build a useful daily automation workflow.
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Privacy, Security, and Responsible Use
Lesson 12: Privacy, Security, and Responsible Use
3:06
Assess Gemini's data access scope, review paid-plan data retention policies and organizational admin controls, and recognize prompt injection as an emerging AI security threat.
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Configuring Your Privacy Settings
Lesson 12: Privacy, Security, and Responsible Use
0:55
Audit your extension connections, review conversation history and retention at myactivity.google.com, and verify your plan's data policy for model training exclusions.
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Industry Applications
Lesson 13: Industry Applications
2:42
Choose two of six professional paths including data analysis, marketing, HR, project management, finance, and government policy, then apply all course techniques to real work scenarios.
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The Capstone Project Overview
Lesson 13: Industry Applications
0:36
Review the seven-step capstone framework for building a complete personal Gemini system with configured gems, NotebookLM notebooks, extensions, and automated workflows.
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Auditing Your Weekly Tasks
Lesson 13: Industry Applications
0:54
Catalog every task in a typical work week, classify each as repetitive or one-time, and identify which tasks involve Google Workspace tools for Gemini integration.
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Identifying Gems and Gathering Sources
Lesson 13: Industry Applications
1:13
Select two to three recurring tasks as gem candidates and configure at least one new gem, then gather key reference documents into a NotebookLM notebook for testing.
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Organizing Notebooks and Extensions
Lesson 13: Industry Applications
1:08
Structure NotebookLM notebooks by project or domain, generate audio overviews for team sharing, and verify cross-extension queries with real workplace data.
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Automation and End to End Workflow
Lesson 13: Industry Applications
1:03
Set up a scheduled action for a recurring task, then build an end-to-end workflow combining deep research, NotebookLM, gems, Canvas, and workspace integration.
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Resources and Daily Action Plan
Lesson 14: Resources and Next Steps
3:59
Review limitations including hallucination risk and extension privacy tradeoffs, then adopt four daily practices for scheduled actions, gems, NotebookLM updates, and cross-extension queries.
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