Training course · Make · Communications & Translation

Make for Communications and Translation

Automation with Make (formerly Integromat) and AI modules: build scenarios, routers and AI steps while keeping data protection in check.

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

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

Make, formerly known as Integromat, is a visual automation platform that lets you connect applications and automate recurring processes without writing code. Over two days you will learn to build scenarios systematically, from triggers and modules through routers and filters to iterators, aggregators and data stores. You will understand how data flows through a scenario, how to reshape it with functions and how to keep an eye on operations consumption.

The second focus is AI. You connect language models through Make’s AI modules and provider integrations to classify text, extract information from emails and documents, draft replies or enrich content. You learn to catch errors with error handlers, test scenarios and document them clearly. Finally, you address data protection topics such as hosting region, data processing agreements and data minimisation, so that your automations can be run safely within your organisation.

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 Make scenarios independently using triggers, routers, filters and data transformations.
  • You can process lists and records with iterators, aggregators and data stores.
  • You can integrate AI modules for classification, extraction and text generation into your processes.
  • You can safeguard scenarios with error handlers, validation and human approval.
  • 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: scenarios, modules and data flow
  • Interface layout, scenario editor and execution history
  • Triggers, actions and searches: module types and their role in a scenario
  • Understanding bundles, mapping and data types and using them deliberately
  • Choosing between schedules, webhooks and instant triggers
Module 2 Logic: routers, filters, iterators and aggregators
  • Using routers and filters for branching and conditional flows
  • Splitting lists with iterators and combining them with aggregators
  • Applying text, date and maths functions to transform data
  • Using data stores and variables for interim values and duplicate checks
Module 3 AI building blocks in Make
  • Connecting language models via AI modules and provider integrations
  • Automating classification, structured data extraction and text generation
  • Building prompts from scenario variables and processing output as JSON
  • Combining AI agents in Make with tools and scenarios as actions
Module 4 Integrations, error handling and testing
  • Connecting common business applications and any API via the HTTP module
  • Applying error handlers such as Resume, Ignore, Break and Rollback
  • Validating AI output and routing unusable results to a person
  • Testing scenarios, optimising operations and documenting them for the team

Day 2

Module 5 Data protection, governance and operations
  • Assessing hosting region, data processing agreements and data flows to AI providers
  • Applying data minimisation and pseudonymisation within scenarios
  • Managing connections, teams and permissions across the organisation
  • Defining approval steps, monitoring and ownership for live operation
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 comfortable with common office and cloud applications and have some experience with AI assistants. No programming skills are required. 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 a Make account; the free plan covers most exercises. API access for a language model is 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.

  • Tue, 24 November 2026 – Wed, 25 November 2026 Online Request
  • Tue, 1 December 2026 – Wed, 2 December 2026 Hanover Request
  • Mon, 14 December 2026 – Tue, 15 December 2026 Online Request
  • Thu, 14 January 2027 – Fri, 15 January 2027 Online Request
  • Mon, 25 January 2027 – Tue, 26 January 2027 Stuttgart Request
  • Tue, 9 February 2027 – Wed, 10 February 2027 Online Request

Frequently asked questions

Is Make the same as Integromat?

Yes. Integromat was renamed Make and substantially developed along the way. The core principle of visual scenarios made of connected modules remains, while a redesigned interface, many new integrations and AI building blocks have been added. If you used Integromat in the past, you will quickly feel at home and discover the new capabilities on the course.

How do I keep operation costs under control?

Every module that runs consumes operations or credits, and AI calls also use quota with the respective model provider. On the course you learn to design scenarios so that filters apply early, unnecessary runs are avoided and data is processed in batches. This keeps your automations economical and predictable as volumes grow.

Can Make be used in a GDPR-compliant way?

In principle yes, provided you set up the framework deliberately. This includes choosing the hosting region, signing a data processing agreement, reviewing connected AI services and applying data minimisation. On the course you work through these points with a checklist and learn to filter or pseudonymise sensitive data within 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 “Make 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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