Training course – n8n – Leadership & Management

n8n for Leaders

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 Leadership & Management. 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.

For leaders, generative AI matters in two ways: as a personal tool and as a strategic topic for the organisation. Personally, AI helps you grasp decision papers faster, structure strategy documents, prepare difficult conversations and sharpen your own communication. Strategically, leaders must judge where AI creates real value, what risks arise and how to support their teams in building skills. AI agents are changing roles, processes and responsibilities, which calls for clear guardrails, employee participation and an open learning culture. Leaders who have experienced AI hands-on can assess opportunities realistically, steer investment purposefully and lead change credibly.

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?

  • Managing directors and board members
  • Division and department heads
  • Team leaders
  • Strategy and transformation leads
  • Emerging leaders

Typical challenges we address

  • Information overload from reports, emails and decision papers
  • Uncertainty about where AI realistically adds value in your area
  • Teams with very different levels of AI knowledge and reservations
  • Legal, ethical and employee relations questions when introducing AI

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.
  • Use AI confidently in your day-to-day leadership work for analysis, communication and preparation.
  • Assess AI opportunities and risks in your area realistically and prioritise pilot projects.
  • Lead AI adoption in your team with clear guardrails, participation and upskilling.

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: Leadership & Management
  • Condensing decision papers
  • Strategy sparring
  • Preparing one-to-ones
  • Leadership communication
  • Assessing AI potential
  • More effective meetings
Module 7 Data protection, quality & transfer to daily work
  • Introducing AI systems capable of monitoring employee behaviour or performance is subject to co-determination by works or staff councils where these exist, and employee data requires particular protection under the GDPR. The EU AI Act also requires organisations to ensure adequate AI literacy among staff and to scrutinise high-risk applications, for example in HR.
  • 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

Condensing decision papers

Lengthy reports, business cases and analyses are distilled into key messages, assumptions, risks and open questions so you can form a sound judgement faster and ask targeted follow-up questions.

Strategy sparring

AI acts as a critical sounding board for strategic options, runs through scenarios, formulates counter-arguments and helps surface assumptions and blind spots in plans. The decision remains yours.

Preparing one-to-ones

Guides for feedback, objective-setting or conflict conversations are structured, wording is refined and possible reactions are rehearsed – without entering personal details into unapproved tools.

Leadership communication

Announcements, speeches, change messages and answers to tough questions are drafted for the audience and adjusted in tone, clarity and length for staff, boards or customers.

Assessing AI potential

Together with the team, processes are systematically screened for AI suitability, prioritised by benefit and effort and translated into concrete pilot projects. Success criteria are defined up front.

More effective meetings

Agendas, pre-reads and minutes are prepared with AI, making meetings shorter and more decision-focused while actions are tracked clearly. Recurring formats can gradually be standardised as well.

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. Leadership or management responsibility, or preparation for such a role; 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

Introducing AI systems capable of monitoring employee behaviour or performance is subject to co-determination by works or staff councils where these exist, and employee data requires particular protection under the GDPR. The EU AI Act also requires organisations to ensure adequate AI literacy among staff and to scrutinise high-risk applications, for example in HR.

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

Why should leaders use AI hands-on themselves?

Only those who have tried AI tools themselves can judge benefits, limits and effort realistically, steer investment sensibly and support their teams credibly. The course therefore combines practical exercises on your own leadership tasks with strategic questions about organisational adoption.

What about works councils and employee representatives?

Where AI systems can be used to monitor employee behaviour or performance, employee representatives usually have co-determination rights. Early involvement, transparent objectives and a framework agreement on AI use have proven effective. In the course we discuss typical provisions and steps towards a trust-based rollout.

How much does “n8n for Leaders” 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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