Intermediate Google Workspace with Gemini AI for Productivity & Collaboration Overview

This intermediate-level course enables participants to use Gemini AI effectively across Google Workspace to improve productivity, content creation, data analysis, meetings, and team collaboration. Participants will develop advanced prompting techniques and apply Gemini within Gmail, Docs, Sheets, Slides, Meet, Drive, and related Workspace tools.

The course emphasizes practical, workplace-focused workflows such as drafting and refining documents, analyzing business data, preparing presentations, managing email, summarizing meetings, organizing shared information, and coordinating collaborative projects. It also addresses responsible AI use, output validation, data privacy, and human review.

Duration 3 Days – 21 hrs.

 

Objectives

• Apply advanced prompting techniques to generate accurate, relevant, and well-structured outputs.
• Develop reusable prompts using context, roles, constraints, examples, and output formats.
• Use Gemini to draft, rewrite, summarize, and improve professional documents.
• Create workplace content tailored to different audiences, purposes, and communication channels.
• Analyze, interpret, summarize, and present data using Gemini and Google Sheets.
• Generate formulas, identify trends, compare results, and communicate data-driven insights.
• Prepare presentations and supporting content using Google Slides and Gemini.
• Improve email drafting, summarization, prioritization, and response workflows in Gmail.
• Use Gemini to prepare for, support, and follow up on meetings.
• Transform meeting notes and discussions into summaries, decisions, and action items.
• Strengthen team collaboration through shared documents, comments, version history, and structured workflows.
• Design practical, multi-application workflows across Google Workspace.
• Evaluate AI-generated outputs for accuracy, relevance, bias, confidentiality, and completeness.
• Apply responsible AI and information-governance practices when using Gemini.

 

Target Audience 

• Business professionals who regularly use Google Workspace
• Administrative and executive support professionals
• Team leaders, supervisors, and managers
• Project coordinators and project team members
• Operations and process-improvement personnel
• Analysts and reporting professionals
• Marketing, communications, and content teams
• Human resources and learning professionals
• Sales and customer-service teams
• Knowledge workers seeking to improve productivity with generative AI

 

Prerequisites 

• Have an active Google Workspace account with access to Gemini features required for the course.
• Possess working knowledge of Gmail, Google Drive, Docs, Sheets, Slides, and Meet.
• Understand basic spreadsheet concepts, including formulas, tables, sorting, and filtering.
• Have experience creating, sharing, and collaboratively editing Google Workspace files.
• Be familiar with basic generative AI concepts and simple prompting.
• Bring suitable sample documents, datasets, or workplace scenarios where organizational policy permits.
• Understand their organization’s policies concerning confidential, personal, and sensitive information.

 

Course Outline 

Day 1: Advanced Prompting and AI-Assisted Content Generation

Module 1: Gemini AI in the Google Workspace Environment

• Gemini capabilities across Google Workspace
• Common productivity and collaboration use cases
• Gemini side panel and application-specific features
• Selecting appropriate tasks for AI assistance
• Understanding context, grounding, and output limitations
• Recognizing hallucinations, incomplete answers, and unsupported claims
• Human oversight and accountability
• Privacy, confidentiality, and responsible information handling

 Module 2: Advanced Prompt Design for Workplace Tasks

• Moving from basic instructions to structured prompts
• Defining role, task, context, audience, and intended outcome
• Establishing constraints, tone, length, and response format
• Providing examples and reference material
• Decomposing complex assignments into prompt sequences
• Using iterative prompting and progressive refinement
• Asking Gemini to identify missing information
• Applying critique, verification, and improvement prompts
• Developing reusable prompt templates
• Adapting prompts for different Google Workspace applications

 Module 3: Professional Document Generation in Google Docs

• Creating document structures, outlines, and first drafts
• Drafting reports, proposals, policies, procedures, and briefing notes
• Expanding source notes into structured documents
• Summarizing lengthy or complex content
• Rewriting content for clarity, brevity, tone, or reading level
• Tailoring documents to executives, customers, employees, or technical audiences
• Comparing versions and identifying inconsistencies
• Converting content into tables, checklists, FAQs, and action plans
• Reviewing AI-generated content for accuracy and completeness
• Collaboratively refining documents using comments and suggestions

 Module 4: Email and Communication Workflows with Gmail

• Summarizing lengthy email conversations
• Extracting decisions, commitments, deadlines, and action items
• Drafting clear and context-sensitive responses
• Adjusting tone for internal and external recipients
• Creating follow-up, escalation, announcement, and status-update messages
• Turning notes or documents into concise emails
• Developing reusable email prompt patterns
• Reviewing AI-generated communication before sending

 Module 5: Practical Workflow—From Source Material to Approved Content

• Organizing source information in Google Drive
• Generating a structured document from multiple inputs
• Producing an executive summary and audience-specific version
• Creating an accompanying email
• Conducting accuracy, tone, confidentiality, and completeness checks
• Managing review and approval through collaborative editing

  

Day 2: Data Analysis, Reporting, and Presentation Development

Module 6: AI-Assisted Data Preparation in Google Sheets

• Reviewing datasets before AI-assisted analysis
• Identifying missing, inconsistent, duplicate, or incorrectly formatted data
• Using Gemini to recommend data-cleaning actions
• Creating consistent labels and categories
• Structuring tables for effective analysis
• Applying sorting, filtering, and conditional logic
• Documenting data assumptions and limitations
• Protecting confidential and sensitive business data

 Module 7: Formula Generation and Analytical Support

• Translating business questions into spreadsheet calculations
• Generating and explaining formulas
• Working with logical, lookup, text, date, and aggregation functions
• Troubleshooting formula errors
• Comparing alternative calculation approaches
• Creating calculated fields and summary measures
• Verifying AI-generated formulas against expected results
• Avoiding reliance on unvalidated outputs

 Module 8: Exploring Data and Generating Insights

• Asking effective questions about spreadsheet data
• Identifying trends, patterns, anomalies, and relationships
• Comparing teams, periods, products, regions, or categories
• Producing descriptive summaries
• Distinguishing observations from interpretations
• Generating follow-up questions for deeper analysis
• Connecting findings to business objectives
• Recognizing weak evidence and misleading conclusions
• Validating insights against source data

 Module 9: Data Storytelling and Reporting

• Converting analytical findings into clear business narratives
• Selecting relevant findings for different stakeholders
• Producing management summaries and performance updates
• Developing recommendations supported by evidence
• Creating tables and chart suggestions
• Writing chart titles, captions, and explanatory commentary
• Communicating assumptions, limitations, and risks
• Turning spreadsheet analysis into a structured report

 Module 10: Creating Presentations with Gemini and Google Slides

• Developing presentation objectives and audience profiles
• Creating slide outlines from documents, notes, or analysis
• Converting data findings into presentation narratives
• Drafting concise slide content
• Creating titles, key messages, and speaker notes
• Improving sequencing and narrative flow
• Adapting presentations for executive, customer, and team audiences
• Reviewing slides for consistency, clarity, and factual accuracy
• Applying collaborative feedback and revision workflows

 Module 11: Practical Workflow—From Data to Decision Briefing

• Preparing and validating a workplace dataset
• Generating formulas and summary measures
• Identifying trends and notable exceptions
• Developing an evidence-based narrative
• Creating a management report
• Producing a supporting presentation
• Reviewing conclusions and recommendations for accuracy

 

 Day 3: Meetings, Collaboration, and Integrated Productivity Workflows

Module 12: AI-Enhanced Meeting Preparation

• Defining meeting objectives and desired outcomes
• Creating agendas from emails, documents, and project information
• Preparing discussion questions and decision points
• Developing pre-meeting briefs
• Identifying participants, responsibilities, and required contributions
• Creating stakeholder-specific preparation notes
• Anticipating risks, objections, and information gaps
• Preparing supporting documents and presentation materials

 Module 13: Gemini AI for Meeting Support and Follow-Up

• Capturing and organizing meeting information
• Summarizing discussions and key themes
• Distinguishing decisions from suggestions and unresolved issues
• Extracting action items, owners, deadlines, and dependencies
• Creating meeting minutes and executive summaries
• Drafting follow-up communications
• Updating project documents and trackers
• Verifying summaries against meeting records
• Handling sensitive meeting information responsibly

 Module 14: Collaborative Work in Docs, Sheets, Slides, and Drive

• Organizing shared files and folders for team access
• Applying appropriate sharing permissions
• Working with comments, suggestions, assignments, and mentions
• Managing simultaneous editing
• Using version history to review contributions and restore content
• Establishing naming and document-control practices
• Coordinating reviews and approvals
• Reducing duplication and conflicting document versions
• Using Gemini without disrupting ownership or accountability
• Maintaining transparency about AI-assisted content

 Module 15: Building Integrated Google Workspace Workflows

• Mapping repetitive knowledge-work processes
• Identifying appropriate opportunities for AI assistance
• Connecting Gmail, Drive, Docs, Sheets, Slides, and Meet activities
• Moving information between applications efficiently
• Creating reusable prompts, templates, checklists, and workflow instructions
• Developing workflows for reporting, project updates, and content approval
• Creating workflows for meeting preparation and follow-up
• Designing human review and escalation points
• Balancing speed, accuracy, consistency, and control

 Module 16: Advanced Practical Workflow—Collaborative Project Cycle

• Reviewing a project brief and supporting materials
• Organizing information in Google Drive
• Drafting a project document in Google Docs
• Analyzing supporting data in Google Sheets
• Preparing a meeting agenda and decision brief
• Producing a presentation in Google Slides
• Drafting stakeholder communications in Gmail
• Recording decisions, responsibilities, and next actions
• Managing collaborative feedback and revisions
• Performing a final quality, privacy, and accuracy review

 Module 17: Responsible and Sustainable Use of Gemini AI

• Applying organizational AI policies
• Identifying confidential, personal, and restricted information
• Recognizing bias, fabrication, and misleading outputs
• Checking facts, figures, formulas, citations, and recommendations
• Preserving human judgment in important decisions
• Documenting assumptions and AI involvement where appropriate
• Creating personal and team prompt libraries
• Establishing quality-control checklists
• Developing an individual productivity and collaboration action plan