Training course · Make · Event Management

Make for Event Managers

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 Event Managers” is designed for roles such as Corporate event managers, Event, exhibition and conference agencies and Marketing teams responsible for events and shows step by step how to use Make productively, safely and transparently in Event Management – from the fundamentals to advanced workflows.

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.

Events depend on precise planning and many moving parts: concept, venue, programme, speakers, registration, catering, AV, communication and follow-up. Whether corporate events, conferences, trade fair stands or incentives, event teams juggle schedules, budgets and numerous suppliers. Generative AI provides relief at every stage. It develops concept ideas and draft programmes, builds running orders and checklists, writes invitations, attendee information and speaker briefings, answers frequent attendee questions and analyses feedback. AI agents and automations link registration tools, email and spreadsheets so that confirmations, reminders and lists are created automatically. That frees up time for creativity, supplier management and the on-site experience.

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 event managers
  • Event, exhibition and conference agencies
  • Marketing teams responsible for events
  • Associations and conference organisers
  • Assistants who organise internal events

Typical challenges we address

  • Many parallel tasks with fixed deadlines
  • Heavy communication workload with attendees, speakers and suppliers
  • Last-minute changes that affect every document
  • Time-consuming follow-up and success measurement

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.
  • Plan events more efficiently with AI-supported concepts, running orders and checklists.
  • Automate attendee and supplier communication with AI and simple workflows.
  • Analyse feedback with AI and derive improvements for future events.

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: Event Management
  • Developing concept and programme
  • Running orders and checklists
  • Attendee communication
  • Speaker and supplier briefings
  • Answering attendee questions
  • Feedback and follow-up
Module 7 Data protection, quality & transfer to daily work
  • Attendee data such as contact, travel, dietary or accessibility details is subject to the GDPR, in part as special category data, and belongs only in approved systems. Legal requirements for photo and video recording, marketing consent and disclosing AI chatbots to attendees must also be observed.
  • 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

Developing concept and programme

From objectives, audience and constraints, AI develops concept ideas, themes, format suggestions and draft programmes, which the team evaluates, combines and develops further. Budget and sustainability goals are built in.

Running orders and checklists

Project plans, production schedules, run-of-show documents and checklists for logistics, AV and catering are created in a structured way and updated quickly when things change.

Attendee communication

Save-the-dates, invitations, confirmations, travel information and reminders are written for the audience, in several languages, and sent via automations. Content comes from a single source so changes reach every message consistently.

Speaker and supplier briefings

Briefings for speakers, hosts, caterers and AV suppliers are generated from event data, and enquiries and quote comparisons are prepared in a structured format. Everyone knows early what is expected.

Answering attendee questions

An AI assistant answers frequent questions about the programme, travel, accessibility or dress code based on verified information and passes special cases to the team.

Feedback and follow-up

Survey results and open comments are analysed, lessons for the next event derived and post-event reports, thank-you emails and social media recaps created. Metrics such as attendance rate are shown clearly.

Prerequisites

You should be comfortable with common office and cloud applications and have some experience with AI assistants. No programming skills are required. Experience organising events; 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

Attendee data such as contact, travel, dietary or accessibility details is subject to the GDPR, in part as special category data, and belongs only in approved systems. Legal requirements for photo and video recording, marketing consent and disclosing AI chatbots to attendees must also be observed.

Suggested dates

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

  • Tue, 24 November 2026 – Wed, 25 November 2026 Online Request
  • Wed, 2 December 2026 – Thu, 3 December 2026 Munich Request
  • Wed, 9 December 2026 – Thu, 10 December 2026 Online Request
  • Thu, 14 January 2027 – Fri, 15 January 2027 Online Request
  • Mon, 18 January 2027 – Tue, 19 January 2027 Berlin Request
  • Tue, 26 January 2027 – Wed, 27 January 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.

Can AI plan an entire event?

AI quickly delivers concepts, draft programmes, schedules and checklists. Venue selection, supplier negotiations, budget responsibility and a feel for the on-site experience remain your job. In the course you use AI as a planning assistant that takes over routine work and gives you time for creative and critical decisions.

Which automations pay off in event management?

Registration confirmations, reminder emails, attendee lists, name badges and feedback surveys pay off especially well. You connect a registration form, spreadsheet and email sending, complemented by AI for personalised copy. The course shows how to set up and test such workflows without programming skills.

How much does “Make for Event Managers” 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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