Training course · Generative AI · Event Management

Generative AI for Event Managers

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

“Generative AI 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 Generative AI in the abstract, you work on tasks from your daily routine – with examples, exercises and templates from Event Management.

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.

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 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.
  • 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 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: 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

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. Experience organising events; 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

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
  • Tue, 1 December 2026 Kaiserslautern Request
  • Wed, 9 December 2026 Online Request
  • Wed, 16 December 2026 Bremen Request
  • Wed, 13 January 2027 Online Request
  • Tue, 26 January 2027 Salzburg 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.

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 “Generative AI 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.

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