Training course – Prompt Engineering – Hospitality & Tourism

Prompt Engineering for Hospitality and Tourism

Vendor-neutral prompt engineering: roles, context, few-shot examples, prompt chains, prompt libraries and systematic quality checks.

Duration
6 hours, one session
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

“Prompt Engineering for Hospitality and Tourism” is designed for roles such as Hotel management and front office teams, Reservations and sales departments and Destination management organisations and tourist boards and shows step by step how to use Prompt Engineering productively, safely and transparently in Hospitality & Tourism – from the fundamentals to advanced workflows.

Whether you use ChatGPT, Claude, Copilot, Gemini or Le Chat, the quality of the output depends largely on how the task is framed. Prompt engineering is the skill of conveying goal, context, constraints and desired format to a language model so that it reliably produces usable results. In this vendor-neutral practical day you learn proven techniques that work across all mainstream AI assistants: defining roles and audiences, selecting relevant context, working with examples and breaking complex tasks down into traceable steps. You try out every technique directly on tasks from your own working day.

The second part focuses on repeatability and quality across the team. You develop prompt templates with placeholders, build multi-step prompt chains for analysis, writing and review processes, and set up a shared prompt library. You learn to evaluate output systematically – with review criteria, test cases and targeted self-checks by the model – and to avoid typical pitfalls such as hallucinations, ambiguity and missing context. By the end you have a structured approach that works regardless of the tool you use and continues to pay off as new models arrive.

In hotels, restaurants and tourism, the guest experience is everything – and it starts long before arrival. Generative AI helps teams answer enquiries quickly and in several languages, build group and conference proposals, respond professionally to reviews and produce content for websites, booking platforms and social media. AI agents can handle standard questions about arrival, parking or check-in times around the clock and pre-qualify booking requests. Behind the scenes, AI-supported analysis assists with rostering, purchasing and pricing. Especially at a time of staff shortages, AI frees up space for the personal hospitality that no technology can replace.

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?

  • Hotel management and front office teams
  • Reservations and sales departments
  • Destination management organisations and tourist boards
  • Tour operators and travel agencies
  • Food and beverage and banqueting managers

Typical challenges we address

  • Staff shortages combined with high service expectations
  • Many enquiries in different languages across numerous channels
  • Public reviews that need prompt, professional responses
  • Heavy effort for proposals, content and guest communication

What you will be able to do

  • You understand how language models process prompts and derive effective wording from this.
  • You structure prompts with role, context, task, constraints and output format.
  • You use few-shot examples and prompt chains for complex, multi-step tasks.
  • You create reusable templates and build a shared prompt library.
  • Answer enquiries and reviews with AI faster, in several languages and in your property's style.
  • Create proposals, content and guest communication efficiently with AI support.
  • Identify operational processes that AI agents and automation can relieve.

Course outline

Module 1 How language models process prompts
  • Core principles of language models: probabilities, context window, limitations
  • Why wording, order and examples change the result
  • What causes hallucinations and how prompts reduce them
  • Differences and common ground between mainstream AI assistants
Module 2 Building blocks of an effective prompt
  • Defining role, audience, task, context and output format
  • Stating constraints, exclusions and quality criteria
  • Structured input with sections, delimiters and tags
  • Asking the model to raise questions instead of making assumptions
Module 3 Advanced techniques
  • Zero-shot, one-shot and few-shot: setting style and structure with examples
  • Requesting step-by-step reasoning for complex tasks
  • Prompt chains: separating research, drafting, review and revision
  • Using change of perspective, counter-arguments and model self-critique
Module 4 Templates and prompt libraries
  • Creating reusable templates with placeholders and variables
  • Storing persistent instructions in projects, custom assistants and agents
  • Building, naming, maintaining and sharing a team prompt library
  • Documenting templates: purpose, inputs, expected output, owner
Module 5 Quality assurance and responsible use
  • Defining review criteria and scoring rubrics for AI output
  • Setting up test cases and systematically comparing and improving prompts
  • Verifying facts, figures and sources; establishing the four-eyes principle
  • Data protection, confidential content and transparency under GDPR and the EU AI Act
Module 6 Practice lab: Hospitality & Tourism
  • Multilingual guest enquiries
  • Responding to reviews
  • Group and conference proposals
  • Content for websites and platforms
  • Automating guest communication
  • Supporting internal operations
Module 7 Data protection, quality & transfer to daily work
  • Guest data such as ID, payment and preference information is subject to the GDPR and belongs only in approved systems; marketing emails require valid consent. Guest-facing AI chatbots must be disclosed as such under the EU AI Act, and price and service information must comply with consumer protection rules.
  • 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

Multilingual guest enquiries

AI drafts replies to questions about availability, facilities, arrival or special requests in the guest's language and the house style, which the team reviews and sends.

Responding to reviews

Online reviews are analysed and answered with individual, appreciative responses; recurring criticism is summarised for quality management. Complaints that need action are also forwarded to the relevant department so issues are fixed promptly.

Group and conference proposals

Key details on attendee numbers, rooms, catering and side programme become structured proposals with a running order, adjusted to the property's price lists and terms.

Content for websites and platforms

Room, package and destination descriptions, newsletters and social posts are created seasonally for each target group and optimised for search engines. Content stays consistent across all channels.

Automating guest communication

Pre-arrival emails, upselling offers, check-in information and post-stay surveys are personalised with AI and sent at the right moment through automations. Language and stay purpose are considered where consent exists.

Supporting internal operations

Training materials for new staff, standard operating procedures, draft rotas and shift handover notes are produced faster and kept up to date. Important information is not lost between shifts.

Prerequisites

Some initial experience with at least one AI assistant such as ChatGPT, Claude, Copilot or Gemini is helpful; no technical background is required. Hands-on experience in hotels, food service or tourism; no technical background required.

Technical requirements

A laptop with an up-to-date browser and access to at least one AI assistant, ideally the tool approved within your organisation.

Data protection & compliance

Guest data such as ID, payment and preference information is subject to the GDPR and belongs only in approved systems; marketing emails require valid consent. Guest-facing AI chatbots must be disclosed as such under the EU AI Act, and price and service information must comply with consumer protection rules.

Dates & locations

For every location we suggest a date roughly four weeks ahead. Your preferred date is always possible.

  • Munich Tue, 15 December 2026 6 hrs Request
  • Salzburg Tue, 15 December 2026 6 hrs Request
  • Berlin Thu, 10 December 2026 6 hrs Request
  • Augsburg Tue, 15 December 2026 6 hrs Request
  • Hanover Mon, 14 December 2026 6 hrs Request
  • Bremen Fri, 11 December 2026 6 hrs Request
  • Stuttgart Mon, 14 December 2026 6 hrs Request
  • Kaiserslautern Mon, 14 December 2026 6 hrs Request
  • Online Wed, 16 December 2026 6 hrs Request

Frequently asked questions

Do these techniques work with every AI assistant?

Yes, the course is deliberately vendor-neutral. The principles – a clear task, relevant context, examples, structured output and review steps – work equally well in ChatGPT, Claude, Copilot, Gemini, Le Chat and other tools. Where assistants differ in detail, for example with projects or custom assistants, we show the corresponding features in each.

Won't better models soon make prompt engineering obsolete?

Models are getting better at interpreting vague requests, but they still cannot know what you do not tell them: audience, quality standards, internal requirements or relevant background. Good prompts are therefore mainly good task descriptions. Templates, prompt chains and quality checks also keep their value for teams as new models arrive.

What is a prompt library and how do we maintain it as a team?

A prompt library is an organised collection of proven templates for recurring tasks, each with its purpose, required inputs, a sample result and an owner. It can live in a shared document, a wiki or directly in the AI tool's projects. In the course you set up a first library and agree simple rules for maintenance and approval.

Can an AI chatbot replace our front desk?

A chatbot can answer standard questions around the clock and pre-qualify requests. Personal service, problem-solving and genuine hospitality remain your team's job. The course shows which requests are well suited to automation and how to design a smooth handover to staff.

Don't AI review responses sound impersonal?

Only if they are generic and unchecked. AI provides a draft that addresses specific points in the review; you add personal details and decide on tone and any gestures of goodwill. You save time and still respond individually and credibly.

How much does “Prompt Engineering for Hospitality and Tourism” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 6 hours of live training with a trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. For every location we suggest a date roughly four weeks ahead. In the request form you can always describe your preferred date or period in free text – we check availability and get back to you 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 and Kaiserslautern. We can also run the course exclusively for your team.

Can the course be tailored to our team?

Yes. Tailor-made courses cost approx. €4,500 more, depending on the topic and by arrangement. We agree content, examples and exercises with you in advance.

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