Training course · Generative AI · Communications & Translation

Generative AI for Communications and Translation

Vendor-neutral, hands-on day: how language models work, where they go wrong and how to roll out AI successfully in your team.

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

This course connects Generative AI with the everyday processes of Communications & Translation. Participants work on realistic scenarios and leave with prompts, workflows and checklists they can use straight away.

Generative AI has reached most organisations, yet teams often lack a shared understanding of what language models can actually do and where their limits lie. In this vendor-neutral course you will learn how large language models generate text, why they hallucinate and how careful prompting, context and source checking lead to reliable results. Rather than relying on any provider's marketing claims, you will work with transparent criteria that help you compare tools and judge their fit for your own tasks.

The second focus is everyday implementation. You will identify concrete use cases in your area of work, weigh benefit, risk and effort, and draft a realistic roll-out plan for your team. This covers ground rules for handling confidential data, a practical prompt library and ways to build acceptance and make results measurable. Throughout the day you work with examples from your own field, so you leave with an actionable roadmap rather than a set of abstract ideas.

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 can explain clearly how language models generate text and why hallucinations occur.
  • You can write prompts that consistently deliver useful, verifiable results.
  • You can compare AI tools against transparent criteria covering data protection, features and cost.
  • You can identify and prioritise concrete use cases for your area of work.
  • 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 How large language models work
  • Tokens, context windows and probabilities: what happens when a model generates text
  • Training knowledge versus web search versus your own documents (RAG)
  • Text, images, audio and code: what multimodal models can do today
  • Realistically assessing typical strengths and weaknesses in office work
Module 2 Spotting hallucinations and getting reliable output
  • Why models produce plausible-sounding errors and when the risk increases
  • Prompting techniques: role, context, examples, output format and step-by-step instructions
  • Requesting sources, cross-checking facts and introducing a four-eyes principle
  • Scoping tasks so that AI assists rather than decides
Module 3 Choosing tools without vendor bias
  • Overview of chat assistants, AI built into office suites and specialist tools
  • Criteria: data processing, hosting location, admin features, integrations and pricing model
  • Enterprise licences, API access and locally hosted open-source models compared
  • Building a simple scoring matrix for your own tool selection
Module 4 Identifying use cases in your field
  • Systematically capturing recurring writing, research and analysis tasks
  • Rating benefit, risk and implementation effort for each use case
  • Distinguishing quick wins from strategic initiatives
  • Creating a prioritised use-case backlog for your team
Module 5 Rolling out generative AI in your team
  • Usage rules: which data may go into which tool and who signs off results
  • Building and maintaining a shared prompt library and templates
  • AI champions, training formats and peer exchanges to embed new habits
  • Measuring success: documenting time saved, quality and user satisfaction
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

No technical background is required. It helps to bring along typical tasks from your day-to-day work that you would like to support with AI. Professional experience in communications, PR, editorial work or translation; no technical background required.

Technical requirements

You will need a laptop with an up-to-date browser and internet access. A free account with a common AI assistant is sufficient; company licences are welcome.

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.

  • Tue, 24 November 2026 Online Request
  • Wed, 9 December 2026 Berlin Request
  • Tue, 15 December 2026 Online Request
  • Tue, 12 January 2027 Stuttgart Request
  • Wed, 20 January 2027 Online Request
  • Wed, 3 February 2027 Hanover Request

Frequently asked questions

Is the course tied to a specific AI tool?

No. The training is deliberately vendor-neutral. You work with widely used chat assistants and learn principles that apply to all major language models. That way you can transfer your skills to whichever tool your organisation has approved and evaluate new offerings yourself using clear criteria instead of relying on marketing statements.

How is confidential company data handled during the course?

For the exercises you use anonymised or fictitious examples from your area of work. At the same time you learn which categories of data may be entered into which tools, what to look for regarding data processing agreements and use of inputs for training, and how to set out these rules clearly for your team.

Will we leave with something concrete to implement?

Yes. You leave with a prioritised use-case backlog, a scoring matrix for tool selection, tested prompt templates and a draft set of team usage rules. These materials are designed so you can take them straight into internal discussions with management, IT and your data protection officer.

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 “Generative AI 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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