A hands-on, practical workshop ideal for teams, departments, or individuals looking to level up their AI fluency inside the Google ecosystem.

Session Overview

This workshop is for anyone who uses Google products, personally or professionally, and wants to understand AI not as a buzzword, but as a practical tool that improves focus, productivity, and clarity. Whether someone is using Gmail, Drive, Docs, Sheets, YouTube, NotebookLM, or the new Gemini experiences, this class teaches how to think with AI, how to partner with these models effectively, and how to build repeatable workflows that feel like magic when they work. A session with clear tools, hands-on learning, and real examples from your day-to-day life.

In this session, we’ll explore:

• What AI is (and isn’t), and why models like Gemini behave the way they do
• Why hallucinations happen — and how to prevent them
• How to write prompts that always get better, clearer answers
• How Google Gemini works across your personal ecosystem (Gmail, Docs, Drive, Search, Calendar)
• How to use NotebookLM as your long-term memory and research companion
• How to build practical assistants, reusable Gems, and simple agentic workflows
• How to use AI responsibly across your personal and work life
• Where AI is headed — and how you can get ahead of it

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Workshop Outline

I. Welcome + The AI Evolution Framework

This section sets the tone for the workshop, introduces the structure of the session, and explains how AI will be explored through both concepts and hands-on examples. Participants understand what to expect and how each section builds on the last.

• Introduction to the format and flow
• How we’ll learn: concepts → demos → activities
• Overview of tools used throughout the workshop
• Why Google’s ecosystem is our foundation

II. AI Fundamentals

A clear, beginner-friendly introduction to how AI works, what modern models are capable of, and why this moment matters for individuals and organizations.

• What AI is and why it’s different now
• What AGI means and where we are on that path
• How models learn and generalize
• What generative AI actually does
• What foundation models are
• Overview of Google’s foundation models (Gemini family)

III. Core Concepts for Reliable AI Use

We break down the essential concepts needed to use AI reliably—why prompts matter, how hallucinations happen, and the mechanics behind context and tokens. Participants learn how to write instructions that consistently deliver better results.

• What a prompt is
• Why hallucinations happen and how to reduce them
• What context windows are
• What tokens are and why they matter
• How to write a good prompt
• Simple prompt frameworks (RTCCO and variations)

IV. Importance of Data & Context

This section shows how AI becomes dramatically more useful when given context, and explores the tools and architectures that help models work with real information safely and effectively.

• Why context increases accuracy
• Connecting AI to internal or external data
• Introduction to RAG in plain English
• What MCP does and why it matters
• Using Google Apps and integrations to add context

V. Exploring Google Workspace

A hands-on exploration of how Gemini works across the Google suite—both personal and professional—and how tools like NotebookLM unlock deeper reasoning, summarization, and synthesis.

• Gemini inside Drive, Docs, Sheets, Slides, and Gmail
• Using Gemini for reasoning, summarization, and extraction
• Practical everyday use cases
• NotebookLM for multi-document understanding

VI. Assistants, Gems, and Agentic Workflows

We move from one-off prompts to reusable systems. Participants learn the difference between assistants, Gems (and GPT-style tools), and early agentic workflows that can chain actions or automate tasks.

• What an Assistant is
• Turning instructions into reusable behaviors
• Google Gems and how they work
• How agents differ from assistants
• Building simple workflows with Google AI Studio

VII. Vibe Teams and the New Organizational Model

A modern look at how AI is reshaping teamwork, replacing traditional MBA-style hierarchies with flexible, fast-moving “vibe teams” that integrate AI as a core collaborator. This section helps participants understand not just the tools, but the cultural shift around them.

• How AI shifts roles, responsibilities, and expectations
• Old vs new org structures
• From rigid workflows to AI-augmented fluid collaboration
• How teams now mix human strengths with AI capabilities
• Why vibe teams outperform traditional siloed teams
• The emerging role of a CAIO and AI fluency across departments

VIII. Creative AI

A fun look at how AI generates media across formats—including images, music, video, voice, and app creation—to spark imagination and broaden understanding of what modern models can do.

• Image generation tools
• Video and animation creation
• Music and voice tools
• Generating simple apps or utilities

IX. Governance and Responsible AI Use

A practical discussion about using AI safely at home and at work, with an emphasis on ethics, privacy, silent IT, and the emerging governance challenges organizations face.

• AI ethics and responsible use
• Silent IT and the risks of unmanaged AI usage
• Privacy and data exposure concerns
• What organizations need to consider for governance
• How to use AI personally without creating risk

X. A Look to the Future

We close with a forward-looking discussion on where AI is headed—from larger context windows to fully automated agentic systems—and how individuals and organizations can prepare for what’s coming.

• What individuals should start doing now
• The future of agents
• Expanding context and memory
• AI as an operating layer across tools

Additional Resources

• Workshop FAQs – Find answers about what’s included, policies, and how to prepare.
• Resources & Downloads – Access course files, templates, and useful links.
• Locations & Venues – View upcoming cities and venue details, or request one near you.