Training course · Google Gemini · Communications & Translation

Google Gemini for Communications and Translation

Make productive use of Google Gemini and Gemini in Workspace: Docs, Sheets, Gmail, Meet, custom Gems and NotebookLM for your sources.

Duration
1 day (7 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

“Google Gemini for Communications and Translation” is a hands-on course for roles such as Corporate communications and PR staff, Internal communications teams and Translators and language services. Rather than learning Google Gemini in the abstract, you work on tasks from your daily routine – with examples, exercises and templates from Communications & Translation.

For organisations running on Google Workspace, Gemini is the natural AI assistant: it is available as a standalone app and is also built directly into Gmail, Docs, Sheets, Slides, Drive and Meet. In this practical day you learn to combine both access points deliberately. You summarise email threads and draft replies, create document drafts based on existing files in Drive, structure and analyse spreadsheets in Sheets and have Meet take meeting notes automatically – always with a focus on your own day-to-day workflows.

You also build your own Gems: specialised assistants with fixed instructions and knowledge files that standardise recurring tasks across the team. With Deep Research you produce well-founded research reports, and you use NotebookLM as a source-grounded workspace that answers only from your own documents and cites the relevant passages. A dedicated module covers data protection and administration in Workspace environments. You leave with tested prompts, a working Gem and a clear picture of which Google tool suits which task.

Corporate communications, PR, internal communications and language services are among the areas most directly transformed by generative AI. Press releases, intranet posts, speeches, Q&A documents and social content can be drafted faster with AI and varied for different audiences and channels. In translation, work is shifting from first drafts towards post-editing, terminology management and quality assurance. AI assistants help apply corporate language and style guides consistently, analyse media coverage and prepare crisis communication. At the same time, the demands on credibility, tone and cultural appropriateness are growing. Communications professionals and translators who use AI confidently gain time for strategy, advice and linguistic fine-tuning.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • Corporate communications and PR staff
  • Internal communications teams
  • Translators and language services
  • Corporate content and editorial teams
  • Press officers and spokespeople

Typical challenges we address

  • A growing number of channels, formats and languages
  • Consistency of tone, terminology and corporate language
  • Intense time pressure in press work and crisis communication
  • Quality assurance for machine translation

What you will be able to do

  • You use Gemini in Gmail, Docs, Sheets, Slides and Meet for your recurring tasks.
  • You write prompts that bring existing Drive files and emails into the context.
  • You build a custom Gem and share it with your team.
  • You work source-grounded in NotebookLM and obtain referenced answers from your own documents.
  • Create and adapt communication content faster with AI in consistent corporate language.
  • Use AI translation professionally with post-editing, glossaries and quality assurance.
  • Prepare press work and crisis communication with AI in a structured way while maintaining credibility.

Course outline

Module 1 Gemini fundamentals and effective prompts
  • The Gemini app and Gemini in Workspace: access points and use cases
  • Prompts with task, context, format and references to Drive files
  • Web search, Deep Research and checking sources
  • Limitations, hallucinations and critical evaluation of output
Module 2 Gmail, Docs and Slides
  • Summarising email threads and drafting context-aware replies
  • Drafting, rewriting and tailoring documents in Docs
  • Pulling in and combining content from Drive files
  • Creating presentation content and images in Slides
Module 3 Sheets and Meet
  • Structuring tables, generating formulas and cleaning data
  • Analyses, summaries and charts in Sheets
  • Letting Meet take meeting notes automatically
  • Deriving action items and decisions from meeting notes
Module 4 Gems and NotebookLM
  • Creating custom Gems with instructions and knowledge files
  • Testing, improving and sharing Gems with the team
  • NotebookLM as a source-grounded workspace for your own documents
  • Generating summaries, study aids and audio overviews from sources
Module 5 Data protection, administration and rollout
  • Privacy commitments for Workspace customers versus personal accounts
  • Drive sharing settings and how they affect Gemini results
  • Handling personal and confidential data in line with GDPR
  • Usage policies and quality assurance within the team
Module 6 Practice lab: Communications & Translation
  • Press releases and statements
  • Adapting content for channels
  • Translation and post-editing
  • Terminology and style guide
  • Analysing media coverage
  • Preparing crisis communication
Module 7 Data protection, quality & transfer to daily work
  • Unpublished company information, particularly price-sensitive inside information, and confidential client texts may only be processed in approved AI environments. Copyright in source texts and images must be respected, and translations for clients are subject to confidentiality agreements and liability for final quality.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Press releases and statements

Key facts and quotes become drafts of press releases, statements and Q&A documents that follow the house style and are approved by communications and subject experts.

Adapting content for channels

A core message is adapted in length, tone and format for intranet, newsletter, social media, employee app and presentations without losing precision. The same message reaches every audience in the right format.

Translation and post-editing

AI provides raw translations that translators refine in a targeted way; glossaries and style guides are built into prompts to keep terminology and tone consistent.

Terminology and style guide

Terminology lists are extracted from existing texts, deviations from corporate language detected and texts checked against the style guide and inclusive language rules. The brand stays consistent across authors.

Analysing media coverage

Press coverage and social media mentions are summarised by theme, sentiment and message to assess impact and decide on next steps. Recurring journalist questions feed into future Q&A documents.

Preparing crisis communication

Scenarios are rehearsed, holding statements and lines to take prepared and critical questions from journalists and employees anticipated. The team is ready to respond faster and consistently across all channels.

Prerequisites

Confident everyday use of Google Workspace (Gmail, Drive, Docs, Sheets); no prior AI knowledge is required. Professional experience in communications, PR, editorial work or translation; no technical background required.

Technical requirements

A laptop with an up-to-date browser and a Google Workspace account with Gemini features enabled; alternatively a Google account for the Gemini app and NotebookLM.

Data protection & compliance

Unpublished company information, particularly price-sensitive inside information, and confidential client texts may only be processed in approved AI environments. Copyright in source texts and images must be respected, and translations for clients are subject to confidentiality agreements and liability for final quality.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Wed, 25 November 2026 Online Request
  • Tue, 8 December 2026 Stuttgart Request
  • Thu, 7 January 2027 Online Request
  • Thu, 21 January 2027 Berlin Request
  • Thu, 28 January 2027 Online Request
  • Tue, 2 February 2027 Munich Request

Frequently asked questions

What is the difference between the Gemini app and Gemini in Workspace?

The Gemini app is a standalone chat assistant for research, writing and analysis. Gemini in Workspace works directly inside Gmail, Docs, Sheets, Slides and Meet and can draw on your emails and Drive files. In practice they complement each other: the app for open questions, the integrated version for work on specific documents.

Why would I use NotebookLM in addition to Gemini?

NotebookLM restricts its answers to the sources you upload – policies, studies or project files, for example – and points to the relevant passages. This reduces hallucinations and works well for getting up to speed on a topic, building internal knowledge collections or preparing training material. Gemini is broader in scope and can also draw on the web.

Is my Workspace data used to train Gemini?

For Google Workspace customers, Google commits that content from Gmail, Drive and other services is not used to train models outside your domain without permission. Different rules apply to personal accounts. Either way, GDPR and your internal policies remain decisive – in the course we review the relevant settings together.

Will AI replace professional translators?

For routine texts AI produces usable drafts, but specialist terminology, cultural nuance, legal precision and brand voice require human expertise. The role is shifting towards post-editing, terminology work and quality assurance. In the course you learn to use AI in a way that raises both quality and efficiency.

How do we keep our communication authentic?

By using AI as a drafting tool while the messages, facts and stance come from you. Provide style guides and sample texts so drafts fit the brand, and revise deliberately. Generic copy appears mainly when AI works without context – exactly what the techniques in this course help you avoid.

How much does “Google Gemini for Communications and Translation” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 1 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart or Kaiserslautern. We can also run the course exclusively for your team.

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