Training course – n8n – Hospitality & Tourism

n8n for Hospitality and Tourism

Workflow automation with n8n and AI: master nodes, the AI Agent node, integrations and GDPR-friendly self-hosting in practice.

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

This course connects n8n with the everyday processes of Hospitality & Tourism. Participants work on realistic scenarios and leave with prompts, workflows and checklists they can use straight away.

n8n is a flexible workflow automation platform that combines visual flows with language models and hundreds of integrations. Unlike many cloud services, n8n can also be self-hosted, so your data can stay in your own data centre or with a European hosting provider. In this compact course you will learn how triggers, nodes and data flows fit together, how to transform data between applications and how to automate recurring tasks from your day-to-day work reliably.

The core of the course is the combination of automation and AI. Using the AI Agent node, chat models, memory and tools, you build workflows that classify emails, summarise documents, enrich records or answer enquiries. You learn to catch errors, test workflows and document them properly. Finally, you look at hosting options, credential management and data protection, so that your automations run stably, securely and in line with GDPR once they go into everyday operation.

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 can build n8n workflows independently using triggers, logic nodes and data transformations.
  • You can connect n8n to the applications you use every day and fall back on the HTTP Request node where needed.
  • You can use the AI Agent node and other AI building blocks for classification, extraction and summarisation.
  • You can safeguard workflows with error handling, validation and human approval steps.
  • 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 Fundamentals: workflows, triggers and nodes
  • Getting to know the n8n interface, canvas and execution view
  • Trigger types: schedules, webhooks, incoming email and app events
  • Understanding items and JSON data and working with expressions
  • Using core nodes such as Edit Fields, IF, Switch, Merge and Loop Over Items
Module 2 Integrations and data processing
  • Connecting common applications: email, spreadsheets, CRM, collaboration and cloud storage
  • Using the HTTP Request node for APIs without a ready-made integration
  • Creating, managing and sharing credentials securely within the team
  • Filtering, merging and reshaping data and writing it to target systems
Module 3 AI in n8n: the AI Agent node and LLM building blocks
  • Connecting chat models from different providers as well as locally hosted models
  • Configuring the AI Agent node with a system prompt, memory and tools
  • Automating classification, structured data extraction and summarisation
  • Using your own documents via vector stores for retrieval-augmented generation
Module 4 Error handling, testing and maintainability
  • Setting up error workflows, retries and failure notifications
  • Validating AI output and defining fallbacks for unusable responses
  • Working with pinned test data and tracing past executions
  • Modularising, naming and documenting workflows for colleagues
Module 5 Self-hosting, data protection and operations
  • Cloud versus self-hosted: effort, control and licensing model compared
  • Assessing data flows to AI providers against GDPR requirements
  • Managing access rights, logging and retention of execution data
  • Adding human-in-the-loop approval steps to automated processes
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

You should be confident with common office applications and have basic experience with AI assistants. No programming is required, although a basic grasp of structured data is helpful. Hands-on experience in hotels, food service or tourism; no technical background required.

Technical requirements

You will need a laptop with an up-to-date browser. We provide an n8n environment for the exercises, or you can use your own instance; API keys for a language model are set up together during the course.

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

Frequently asked questions

Do I need to code to work with n8n?

No. Most workflows are built visually by connecting nodes. During the course you also learn simple expressions to reference and reshape data precisely. A Code node is available for special cases but is not essential. A logical understanding of processes and data fields is entirely sufficient to get started.

Why is n8n attractive from a European data protection perspective?

n8n can be self-hosted, for instance on your own servers or with a European hosting provider. This keeps you in control of where workflow and execution data is stored. What still matters is which data you send to external AI services. On the course you learn to assess these data flows and, where appropriate, connect locally hosted models.

How does n8n differ from Make or Power Automate?

All three automate processes across applications. n8n stands out for its self-hosting option, its fair-code licensing and particularly flexible AI building blocks such as the AI Agent node. Make offers a very approachable cloud interface, while Power Automate excels at deep Microsoft integration. The course puts these differences into context for typical scenarios.

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 “n8n 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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