Training course · n8n · Communications & Translation

n8n for Communications and Translation

Workflow automation with n8n and AI: master nodes, the AI Agent node, integrations and GDPR-friendly self-hosting in practice.

Duration
2 days (14 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

“n8n 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 n8n in the abstract, you work on tasks from your daily routine – with examples, exercises and templates from Communications & Translation.

n8n is a flexible workflow automation platform that combines visual flows with language models and hundreds of integrations. Unlike many cloud services, n8n can also be self-hosted, so your data can stay in your own data centre or with a European hosting provider. Over two days you will learn how triggers, nodes and data flows fit together, how to transform data between applications and how to automate recurring tasks from your day-to-day work reliably.

The core of the course is the combination of automation and AI. Using the AI Agent node, chat models, memory and tools, you build workflows that classify emails, summarise documents, enrich records or answer enquiries. You learn to catch errors, test workflows and document them properly. Finally, you look at hosting options, credential management and data protection, so that your automations run stably, securely and in line with GDPR once they go into everyday operation.

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 build n8n workflows independently using triggers, logic nodes and data transformations.
  • You can connect n8n to the applications you use every day and fall back on the HTTP Request node where needed.
  • You can use the AI Agent node and other AI building blocks for classification, extraction and summarisation.
  • You can safeguard workflows with error handling, validation and human approval steps.
  • 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

Day 1

Module 1 Fundamentals: workflows, triggers and nodes
  • Getting to know the n8n interface, canvas and execution view
  • Trigger types: schedules, webhooks, incoming email and app events
  • Understanding items and JSON data and working with expressions
  • Using core nodes such as Edit Fields, IF, Switch, Merge and Loop Over Items
Module 2 Integrations and data processing
  • Connecting common applications: email, spreadsheets, CRM, collaboration and cloud storage
  • Using the HTTP Request node for APIs without a ready-made integration
  • Creating, managing and sharing credentials securely within the team
  • Filtering, merging and reshaping data and writing it to target systems
Module 3 AI in n8n: the AI Agent node and LLM building blocks
  • Connecting chat models from different providers as well as locally hosted models
  • Configuring the AI Agent node with a system prompt, memory and tools
  • Automating classification, structured data extraction and summarisation
  • Using your own documents via vector stores for retrieval-augmented generation
Module 4 Error handling, testing and maintainability
  • Setting up error workflows, retries and failure notifications
  • Validating AI output and defining fallbacks for unusable responses
  • Working with pinned test data and tracing past executions
  • Modularising, naming and documenting workflows for colleagues

Day 2

Module 5 Self-hosting, data protection and operations
  • Cloud versus self-hosted: effort, control and licensing model compared
  • Assessing data flows to AI providers against GDPR requirements
  • Managing access rights, logging and retention of execution data
  • Adding human-in-the-loop approval steps to automated processes
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

You should be confident with common office applications and have basic experience with AI assistants. No programming is required, although a basic grasp of structured data is helpful. 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. We provide an n8n environment for the exercises, or you can use your own instance; API keys for a language model are set up together during the course.

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.

  • Thu, 26 November 2026 – Fri, 27 November 2026 Online Request
  • Thu, 10 December 2026 – Fri, 11 December 2026 Stuttgart Request
  • Wed, 13 January 2027 – Thu, 14 January 2027 Online Request
  • Wed, 20 January 2027 – Thu, 21 January 2027 Berlin Request
  • Tue, 2 February 2027 – Wed, 3 February 2027 Online Request
  • Tue, 9 February 2027 – Wed, 10 February 2027 Munich Request

Frequently asked questions

Do I need to code to work with n8n?

No. Most workflows are built visually by connecting nodes. During the course you also learn simple expressions to reference and reshape data precisely. A Code node is available for special cases but is not essential. A logical understanding of processes and data fields is entirely sufficient to get started.

Why is n8n attractive from a European data protection perspective?

n8n can be self-hosted, for instance on your own servers or with a European hosting provider. This keeps you in control of where workflow and execution data is stored. What still matters is which data you send to external AI services. On the course you learn to assess these data flows and, where appropriate, connect locally hosted models.

How does n8n differ from Make or Power Automate?

All three automate processes across applications. n8n stands out for its self-hosting option, its fair-code licensing and particularly flexible AI building blocks such as the AI Agent node. Make offers a very approachable cloud interface, while Power Automate excels at deep Microsoft integration. The course puts these differences into context for typical scenarios.

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 “n8n for Communications and Translation” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 2 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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