Training course · Vibe Coding · Compliance & Data Protection

Vibe Coding for Compliance and Data Protection Teams

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

“Vibe Coding for Compliance and Data Protection Teams” is a hands-on course for roles such as Compliance officers and managers, Data protection officers and privacy coordinators and Information security officers. Rather than learning Vibe Coding in the abstract, you work on tasks from your daily routine – with examples, exercises and templates from Compliance & Data Protection.

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.

Compliance and data protection teams must keep track of a growing body of rules, from the GDPR and whistleblower protection to supply chain due diligence and the EU AI Act. Generative AI can structure and accelerate this work: AI assistants summarise new regulations, produce gap analyses against existing policies, support records of processing activities and data protection impact assessments and draft clear training content. Automation helps with data subject requests, contract reviews and vendor risk assessments. At the same time, compliance teams are expected to steer AI use across the organisation: AI policies, risk classification under the AI Act and staff AI literacy obligations. Teams that use AI confidently themselves can advise the business better and design effective governance.

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?

  • Compliance officers and managers
  • Data protection officers and privacy coordinators
  • Information security officers
  • Governance, risk and compliance staff
  • AI governance leads

Typical challenges we address

  • Tracking numerous new regulations and translating them into internal requirements
  • Keeping records of processing and impact assessments up to date
  • Advising business units quickly and soundly when they introduce new tools
  • Steering organisation-wide AI use in a compliant way

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 for regulatory analysis, data protection documentation and contract reviews.
  • Build AI governance with a policy, a tool inventory and risk classification.
  • Advise business units soundly on GDPR and AI Act requirements for AI use.

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 Compliance & Data Protection
  • AI tool inventory – An app where business units register the AI tools they use, specify purpose and data types and receive an initial risk classification under the AI Act.
  • Data subject request tracker – An internal tool that logs requests, calculates deadlines, reminds owners and documents progress in an audit-proof way.
  • Vendor check – A questionnaire tool that evaluates new vendors' data protection and security answers and compiles open points for the contract review.
Module 7 Data protection, quality & transfer to daily work
  • Compliance and privacy records often contain sensitive information, such as whistleblower reports that must be kept strictly confidential under whistleblower protection laws and must not be entered into unvetted AI tools. At the same time, Article 4 of the EU AI Act requires organisations to ensure sufficient AI literacy among their staff.
  • 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

Regulatory gap analysis

An AI assistant summarises new regulations, compares requirements with existing policies and processes and produces a structured list of gaps and actions for expert assessment.

Records of processing and DPIAs

Process descriptions and interviews are turned into draft entries for the record of processing activities and risk analyses for data protection impact assessments, reviewed by the DPO.

Reviewing data processing agreements

AI checks vendors' data processing agreements and privacy documentation for the mandatory content under Article 28 GDPR, third-country transfers and technical measures and flags deviations from the internal standard.

Data subject requests

Automations log access and erasure requests, monitor deadlines and draft responses, while data searches and final approval remain with the responsible staff.

Building AI governance

AI helps draft AI policies, build an inventory of AI systems in use and classify them according to the EU AI Act risk categories as a basis for governance board decisions.

Training and awareness

Policies are turned into clear learning modules, case studies and quizzes on data protection, anti-money laundering, anti-corruption or AI literacy, tailored to target groups across the organisation.

Possible hands-on projects

AI tool inventory

An app where business units register the AI tools they use, specify purpose and data types and receive an initial risk classification under the AI Act.

Data subject request tracker

An internal tool that logs requests, calculates deadlines, reminds owners and documents progress in an audit-proof way.

Vendor check

A questionnaire tool that evaluates new vendors' data protection and security answers and compiles open points for the contract review.

Prerequisites

No programming knowledge is required; confident use of a browser, office applications and spreadsheets is enough. You work in compliance, data protection or information security and are familiar with the basics of the GDPR.

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

Compliance and privacy records often contain sensitive information, such as whistleblower reports that must be kept strictly confidential under whistleblower protection laws and must not be entered into unvetted AI tools. At the same time, Article 4 of the EU AI Act requires organisations to ensure sufficient AI literacy among their staff.

Suggested dates

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

  • Tue, 24 November 2026 – Wed, 25 November 2026 Online Request
  • Thu, 3 December 2026 – Fri, 4 December 2026 Munich Request
  • Wed, 9 December 2026 – Thu, 10 December 2026 Online Request
  • Tue, 15 December 2026 – Wed, 16 December 2026 Stuttgart Request
  • Mon, 11 January 2027 – Tue, 12 January 2027 Online Request
  • Tue, 19 January 2027 – Wed, 20 January 2027 Berlin 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.

What does the EU AI Act actually require of companies?

Since early 2025, certain AI practices have been prohibited and organisations must ensure AI literacy among staff. Further obligations cover transparency and providers and deployers of high-risk systems. In the course we classify typical use cases and work out which governance components your organisation needs.

Can data protection officers use AI themselves?

Yes, for example for contract reviews, draft documentation or training content, provided no unnecessary personal data is processed. The legal assessment remains with you. Hands-on experience with AI also improves your advice to the business, because you can judge opportunities and risks more realistically.

How much does “Vibe Coding for Compliance and Data Protection Teams” 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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