Training course · ChatGPT · Event Management

ChatGPT for Event Managers

Use ChatGPT safely and productively at work: projects, custom GPTs, data analysis, Canvas and privacy settings in team workspaces.

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

“ChatGPT for Event Managers” is a hands-on course for roles such as Corporate event managers, Event, exhibition and conference agencies and Marketing teams responsible for events. Rather than learning ChatGPT in the abstract, you work on tasks from your daily routine – with examples, exercises and templates from Event Management.

For many business teams, ChatGPT is the first AI tool they use every day – yet there is a methodical gap between asking the odd question and achieving real productivity gains. In this hands-on day you learn to apply ChatGPT deliberately to recurring work: drafting and editing text, summarising documents, analysing spreadsheets and structuring decision papers. You work with Projects that keep files and instructions together, with Canvas for reworking longer documents, and with data analysis for Excel and CSV files. Every exercise is based on genuine tasks from your own function.

The second focus is scale and responsibility. You build a custom GPT that knows your templates, tone of voice and review rules, and that colleagues across the workspace can use. We also clarify which data belongs in ChatGPT and which does not, how Team and Enterprise workspaces differ from personal accounts, and which settings matter for model training, memory and sharing. You leave with a personal prompt library, a working GPT and clear ground rules for using ChatGPT responsibly across 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 write structured prompts that reliably produce usable results for your day-to-day tasks.
  • You organise your work in Projects and revise longer documents efficiently with Canvas.
  • You analyse spreadsheets and files with data analysis and critically verify the results.
  • You build a custom GPT for a recurring task and share it with your team.
  • 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

Module 1 Foundations and effective prompting
  • How language models work: strengths, limitations and hallucinations
  • Building effective prompts with role, context, task and output format
  • Refining iteratively instead of starting over: follow-ups and correction loops
  • Choosing models and using web search and deep research appropriately
Module 2 Projects, Canvas and document work
  • Setting up Projects to group files, instructions and chats by topic
  • Summarising, comparing and interrogating long documents
  • Using Canvas to revise text and drafts section by section
  • Templates for emails, reports, minutes and presentation outlines
Module 3 Data analysis with spreadsheets and files
  • Uploading, cleaning and analysing Excel and CSV files
  • Calculating KPIs, replicating pivot logic and explaining variances
  • Generating charts and preparing them for presentations
  • Verifying results: checking calculation steps and sanity checks
Module 4 Custom GPTs for recurring tasks
  • Identifying and scoping good use cases for GPTs
  • Configuring instructions, knowledge files and conversation starters
  • Testing, improving and sharing a GPT within the workspace
  • Maintenance, change tracking for instructions and ownership in the team
Module 5 Privacy, workspaces and governance
  • Personal accounts versus Team and Enterprise workspaces
  • Settings for model training, memory, temporary chats and sharing
  • Handling personal and confidential data in line with GDPR
  • Internal usage policy and quality assurance for AI output
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

Confident use of office applications and a web browser; no prior AI knowledge is required. Feel free to bring your own non-confidential sample tasks from your daily work. Experience organising events; no technical background required.

Technical requirements

A laptop with an up-to-date browser and a ChatGPT account; a paid plan or access to your organisation's Team or Enterprise workspace is recommended for custom GPTs, Projects and data analysis.

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.

  • Mon, 23 November 2026 Online Request
  • Mon, 7 December 2026 Berlin Request
  • Fri, 18 December 2026 Online Request
  • Tue, 12 January 2027 Online Request
  • Fri, 22 January 2027 Stuttgart Request
  • Wed, 27 January 2027 Online Request

Frequently asked questions

Do I need a paid ChatGPT licence for the course?

You can follow the fundamentals with a free account. However, features such as custom GPTs, Projects with larger files and advanced data analysis are tied to paid plans or come with far more generous limits there. Ideally you join with access to your organisation's Team or Enterprise workspace, so you practise under real conditions.

May I enter confidential company data into ChatGPT?

That depends on your plan, your contractual terms and your internal policy. In Team and Enterprise workspaces, content is not used for training by default, but GDPR and confidentiality obligations still apply. In the course you learn how to classify and anonymise data and how to choose the right settings.

How is a custom GPT different from a saved prompt?

A GPT bundles persistent instructions, knowledge files and optional tools such as web search or data analysis into a dedicated assistant. Colleagues can use it without any prompting skills and get consistent results. A saved prompt, by contrast, has to be copied and supplemented with context every time, which is far more error-prone.

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 “ChatGPT for Event Managers” 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.

More courses for Event Managers

More ChatGPT courses

All 45 ChatGPT courses

ChatGPT · MunichChatGPT · SalzburgChatGPT · BerlinChatGPT · AugsburgChatGPT · HanoverChatGPT · BremenChatGPT · StuttgartChatGPT · KaiserslauternChatGPT · Online