Drive and Gmail with Gemini

How to query Drive and Gmail from Gemini while keeping control of permissions?

  • Gemini
  • Gmail

1250 € per session, excl. VAT

In short

Improve your productivity by quickly finding information across your Google Workspace apps. This course shows you how to use Gemini to query Gmail and Drive with the @-mention feature, while understanding how to manage connected app permissions and check sources to ensure the reliability of the retrieved answers.

Why this training?

In a work environment where information is scattered across emails, documents, and shared files, quickly finding a specific item is a daily challenge. Gemini, when connected to Google Workspace, offers a unified search solution. This course covers using Gemini to query Gmail and Drive. It focuses not only on search efficiency but also on the crucial aspects of security and control: how permissions work, how to verify the reliability of AI-generated results, and how to ensure data access remains controlled, especially in a corporate context where administrator settings may apply. Participants will work on concrete scenarios for retrieving professional information. For example, they will use Gemini to find a project summary stored in Drive from a vague description, and then locate a key decision email in Gmail. Each exercise will require checking the source provided by Gemini to confirm the accuracy of the extracted information, thus reinforcing good validation practices. Deliverables: A cheat sheet for prompts using @-mentions; A checklist for source verification; A guide to managing app permissions. This course focuses solely on Gemini's integration with Gmail and Drive. It does not cover other Google Workspace applications, the Gemini API, or custom solutions. Features are dependent on the subscription plan and restrictions set by the account administrator. The workshop is delivered in person as a private session for up to 12 participants, in one language chosen from French, Dutch and English. All exercise data is fictional or anonymised, and every result produced with AI is reviewed and validated by a responsible person. The aim is a bounded result the team can reuse, not a promise of deployment.

Objectives of this training

  • Connect Gemini to Google Workspace securely.
  • Formulate effective prompts using @gmail and @drive.
  • Analyze responses and check the cited sources.
  • Interpret potential AI limitations, such as hallucinations.
  • Manage and disconnect application permissions.

Who is it for and what are the prerequisites?

Roles and tasks concerned

  • Professionals using Google Workspace daily
  • Project managers and team coordinators
  • Anyone looking to optimize their information retrieval process

Prior skills

  • Prior completion of 'AI Fundamentals' and 'AI Prompting' courses or equivalent experience is required. Participants must have a paid subscription to Gemini and Gmail that offers the necessary features, along with their organization's authorization to use these third-party tools. Each participant must come with their own accounts and access rights. Exercises will use provided fictional or anonymized data.

What you will work on

  1. Connecting Gemini to Your Google Ecosystem

    Understanding the connected app concept Enabling the Google Workspace connection and activity history

  2. Querying Gmail and Drive with @-Mention Syntax

    Discovering the @ syntax to target a service (Gmail, Drive) Writing prompts to summarize emails and find documents

  3. Analyzing and Validating Gemini's Results

    Identifying the sources listed in Gemini's responses Understanding the risk of hallucinations or outdated information

  4. Managing and Controlling Permissions

    Viewing the applications with access to your Google account Understanding the impact of admin settings for work accounts

What you take away

  • A cheat sheet for prompts using @-mentions
  • A checklist for source verification
  • A guide to managing app permissions

Method and assessment

  • Alternating theoretical presentations and practical exercises
  • Live manipulation on participants' own accounts
  • Q&A sessions and experience sharing

Continuous assessment through the completion of practical exercises and a final quiz to validate understanding of the concepts.

Frequently asked questions

What concrete result does this course deliver?

Accelerate information retrieval within your Google ecosystem while mastering data security and validation. Deliverables: a cheat sheet for prompts using @-mentions, a checklist for source verification, a guide to managing app permissions.

Who is this course for and what are the prerequisites?

It is designed for: professionals using google workspace daily, project managers and team coordinators, anyone looking to optimize their information retrieval process. Prior completion of 'AI Fundamentals' and 'AI Prompting' courses or equivalent experience is required. Participants must have a paid subscription to Gemini and Gmail that offers the necessary features, along with their organization's authorization to use these third-party tools. Each participant must come with their own accounts and access rights. Exercises will use provided fictional or anonymized data.

What data and access need to be arranged?

Participants will need to prepare access to their own Google Workspace account (Gemini/Gmail) with the appropriate permissions. Required tools and licences are checked before the session; no subscription is included in the price.

What practical exercise is completed?

Participants will work on concrete scenarios for retrieving professional information. For example, they will use Gemini to find a project summary stored in Drive from a vague description, and then locate a key decision email in Gmail. Each exercise will require checking the source provided by Gemini to confirm the accuracy of the extracted information, thus reinforcing good validation practices.

What are the limits and who validates the results?

This course focuses solely on Gemini's integration with Gmail and Drive. It does not cover other Google Workspace applications, the Gemini API, or custom solutions. Features are dependent on the subscription plan and restrictions set by the account administrator.

Can the course be adapted to our line of work?

Exercises can be adapted with company-specific anonymized datasets to simulate relevant internal use cases, subject to joint preparation before the training session.

How is the session organised and what does it cost?

Half-day, private in-person session for up to 12 participants. The fee is €1,250 excluding VAT per session. Date and location are agreed during scoping; each session runs in a single language: French, Dutch or English.

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