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Course Overview

  • icon 1 day course
  • iconCertificate of Attendance
  • iconIn-person, Live Online, Private
    info-icon

This end-to-end course is designed for professionals who want to use Gemini across Google Workspace, combining Gen AI with their own data.

You'll start with the different approaches to prompting and find the one that suits you, then work through a multi-step prompting workshop covering research, ideation, planning and strategy.

From there we go app by app: building a repeatable framework for understanding and analysing data, whatever your confidence with it; weighing up where each Workspace app earns its place; using Google Docs to reference files across your Drive and work with several documents at once; and experimenting with Canvas to build different kinds of artifacts.

We'll also cover Gems — what they are and where they're useful — and give you a thorough grounding in Gemini Notebook (formerly NotebookLM), importing a wide range of sources and going beyond the default Studio outputs by turning insights back into sources that enrich your data.

Concepts are taught one at a time, with live on-screen demonstrations and practical exercises. By the end, you'll be confident using Gemini to go beyond efficiency and clear on where you can take your business next.

Our Gemini for Workspace course is available as a scheduled live online class, or as an in-person session. It can also be run as a private training session that can be delivered online or at location of your choice in the UK.

What you'll learn

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

  • iconUnderstand and define which approach to prompting will be most appropriate for any given situation
  • iconPrompt Gemini effectively across Google Dos, Sheets, Slides, Drive and Gmail
  • iconDraft reports, proposals, and communications faster using natural language commands
  • iconAnalyse and visualise data with AI assistance in Gemini, Google Drive and Google Sheets - you will know the differences between them and when to use a particular app based on what you want to achieve
  • iconNavigate limitations and ensure responsible, secure AI use in daily workflows
  • iconAnticipate what types of output Gemini can produce based upon different types of input
  • iconGround Gemini in your own data - from files (Docs, Sheets, Slides, video, images, emails and PDFs) to generate context-aware results, business insight and action points
  • iconCreate slide decks from outlines, documents, or notes in the Gemini app and Google Sheets
  • iconGo beyond email summaries, and learn to use Gemini in Gmail to gain insights and inform your strategy
  • iconIntegrate Gemini confidently into your day-to-day routine

Course agenda

Foundations of Gemini

  • What is Gemini and how it integrates across your Google Workspace
  • Understanding your data tenancy: Data sources and boundaries
  • What makes Gemini so special

Prompting Workshop

  • Prompting fundamentals: writing effective, context-rich instructions
  • Approaches to prompting, going beyond traditional prompting structures and generic online advice
  • When any given approach is the right one to choose
  • Hands on Prompting Workshop - deepdive using the various techniques to run an array of business simulations

Data, Visuals & AI Thinking

  • Exploring and interpreting data with Gemini, Google Drive and Google Sheets - understanding the relative strengths and weaknesses between them
  • Creating visual insights and reports; charts, summaries, formulas
  • Building presentations and slideware using existing notes and documents
  • Hands-on practice: transforming data into actionable insights

Google Docs & Sheets

  • Using Gemini in Docs to cross reference other documents in your Workspace and informing responses to stakeholder requirements
  • Interacting with files in your Google Drive: “chat with your documents”
  • Hands-on practice: creating outputs from a simulated meeting thread
  • Understanding the differences between data analysis in Gemini versus using Gemini in Google Sheets

Gems

  • Exploring what are Gems and why you would use them
  • Seeing how Gems work across practical workflows

Gemini Notebook (formerly Notebook LM)

  • Understanding what makes Gemini Notebook different from Gemini
  • Where and how to source different types of data
  • The effect of chaining together disparate datasets can have in gaining deeper understanding and insight
  • Making artifacts using the Studio features ‘out of the box’
  • Going beyond the default outputs, by applying the prompting principles you have learnt inside the Studio area
  • Seeing how Notebook LM’s responses are grounded in your data only
  • Using any and all insights gleaned to feedback into the discovery process to create even richer outputs

Throughout the day

  • Peer collaboration and facilitation to apply practical skills
  • Opportunity to show and tell work
  • Final Q&A and reflective discussion on applying Copilot post-course

Who it's for

This course will appeal to:

  • Anyone using Gemini in Google Workspace
  • Department managers and team leaders looking to improve team productivity and efficiency
  • Business professionals who want to automate routine tasks and free up time for higher-value work
  • Project managers seeking to streamline planning, reporting, and communications
  • Operations and process improvement professionals aiming to build repeatable workflows
  • HR, legal, and compliance professionals exploring structured ways to summarise, extract and standardise information
  • Business analysts and data professionals interested in using Copilot to assist with data interpretation and reporting

BOOK THIS COURSE

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Buy 2 AI Courses, Get 1 Free

  • Gemini for Workspace

    Calendar
    Clock9:00am – 5:00pm
    LocationLive Online
    £695 per personex VAT
  • Gemini for Workspace

    Calendar
    Clock9:00am – 5:00pm
    LocationLive Online
    £695 per personex VAT
Feefo
5 / 5

Independent Service Rating based on 1 verified reviews


Gemini for Workspace

Great work. Good Delivery. Highly Recommend.

5 / 5

Anonymous

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