Training course · Vibe Coding · Leadership & Management

Vibe Coding for Leaders

Build software in natural language: from prompt to app, rapid iteration, quality and security checks, and turning prototypes into production.

Duration
2 days (14 hrs)
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 Vibe Coding with the everyday processes of Leadership & Management. Participants work on realistic scenarios and leave with prompts, workflows and checklists they can use straight away.

Vibe coding lets business users without any programming knowledge build digital tools of their own. You describe in everyday language what a mini app, dashboard or form should do, and tools such as Lovable, Claude, ChatGPT Canvas or Replit generate a working solution. Helpers for your daily work can take shape quickly, without waiting for IT to free up capacity. This course shows you step by step how to make it work, which habits lead to good results, and what really matters along the way.

During the course you build applications drawn from your own work: a KPI overview, a data entry form, a small calculator or an automation for recurring chores. At the same time you learn to assess the risks realistically. Which data may go into such tools, who will run and maintain the solution, and when must IT be involved? With this knowledge you can create useful solutions that are accepted within the organisation and remain secure and sustainable in the long term.

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 build your own mini apps, dashboards and forms through vibe coding without programming skills.
  • You describe requirements clearly enough for AI tools to produce usable solutions.
  • You improve your applications step by step and check the results for accuracy.
  • You automate simple recurring tasks in your working environment.
  • 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

Day 1

Module 1 Understanding vibe coding as a business user
  • What vibe coding is and what you can achieve without programming skills
  • Tools at a glance: Lovable, Claude, ChatGPT Canvas, Replit and similar platforms
  • Spotting good candidates for your own tools at work
  • Realistic expectations: strengths, limits and common pitfalls
Module 2 Describing and building your own mini app
  • Capturing goal, users, inputs and desired outcome in plain words
  • Generating a first version and clicking through it together
  • Improving look, wording and flow with targeted feedback
  • Saving milestones and returning to an earlier version when things go wrong
Module 3 Dashboards, forms and calculators
  • Turning Excel or CSV data into an interactive dashboard
  • Building entry forms with required fields and plausibility checks
  • Creating calculators and decision aids for your team
  • Checking results for accuracy with test data and spot checks
Module 4 Automating routine work
  • Identifying recurring tasks that lend themselves to automation
  • Building simple automations for reports, notifications or file storage
  • Discussing connections to existing tools via approved interfaces
  • Documenting automations clearly and handing them over to colleagues

Day 2

Module 5 Risks and coordination with IT
  • Which data may and may not go into AI tools: data protection and confidentiality
  • Managing access rights, sharing settings and public links deliberately
  • Avoiding shadow IT: clarifying operation, maintenance and ownership
  • Preparing a handover to IT when a solution grows or becomes critical
Module 6 Hands-on project: your own solution for Leadership & Management
  • AI use case radar – A small app where teams log ideas for AI use, rate them by benefit, effort and risk and view them as a prioritised overview.
  • Decision log – An internal tool that records key decisions with rationale, alternatives and owners and shows when each decision is due for review.
  • OKR tracker – A simple web app for maintaining objectives and key results per team, with progress indicators and an automatically generated quarterly review.
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.

Possible hands-on projects

AI use case radar

A small app where teams log ideas for AI use, rate them by benefit, effort and risk and view them as a prioritised overview.

Decision log

An internal tool that records key decisions with rationale, alternatives and owners and shows when each decision is due for review.

OKR tracker

A simple web app for maintaining objectives and key results per team, with progress indicators and an automatically generated quarterly review.

Prerequisites

No programming knowledge is required; confident use of a browser, office applications and spreadsheets is enough. Leadership or management responsibility, or preparation for such a role; no technical background required.

Technical requirements

Your own laptop with an up-to-date browser, Git and an AI coding tool of your choice, such as an AI editor or coding agent with an active account.

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.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Thu, 26 November 2026 – Fri, 27 November 2026 Online Request
  • Tue, 8 December 2026 – Wed, 9 December 2026 Berlin Request
  • Thu, 17 December 2026 – Fri, 18 December 2026 Online Request
  • Tue, 19 January 2027 – Wed, 20 January 2027 Online Request
  • Wed, 27 January 2027 – Thu, 28 January 2027 Hanover Request
  • Thu, 4 February 2027 – Fri, 5 February 2027 Online Request

Frequently asked questions

Is vibe coding only suitable for quick prototypes?

Vibe coding shines with prototypes, internal tools and experiments. With the right practices, namely clear specifications, tests, reviews and sound version control, results can also be turned into production-ready applications. The course teaches you to manage that transition deliberately and to recognise early on when rebuilding is the wiser option.

Which tools are used in the course?

The course is vendor-neutral. We work with the main tool categories: AI editors such as Cursor or Windsurf, coding agents such as Claude Code or Codex, and browser-based app builders. You are welcome to use your preferred tool, as the principles of specification, iteration, quality and security apply to all of them.

How should I deal with security risks in generated code?

Generated code often contains typical weaknesses such as hard-coded credentials, missing input validation or overly open interfaces. You learn to check specifically for these patterns, build security requirements into the specification from the start, use automated scanning and require a deliberate human sign-off before every deployment.

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 “Vibe Coding for Leaders” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 2 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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