Training course · Vibe Coding · Product Management

Vibe Coding for Product Managers

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 Product Managers” is designed for roles such as Product managers, Product Owners in agile teams and Heads of Product and product directors and shows step by step how to use Vibe Coding productively, safely and transparently in Product Management – from the fundamentals to advanced workflows.

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.

Product managers connect customer needs, business goals and technical delivery. Their day revolves around discovery, prioritisation, specification and alignment with engineering, design, sales and leadership. Generative AI speeds up almost every one of these steps: it analyses customer feedback, interviews and support tickets, helps write product requirements and user stories, structures competitor analyses and prepares roadmap communication for different stakeholders. With vibe coding, product managers can build clickable prototypes themselves and test ideas before committing engineering capacity. AI agents bring together signals from analytics, CRM and feedback tools. That leaves more time for product vision, decisions and conversations with customers.

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?

  • Product managers
  • Product Owners in agile teams
  • Heads of Product and product directors
  • Product marketing teams
  • UX researchers and product designers

Typical challenges we address

  • Large amounts of unstructured feedback from many channels
  • Heavy effort for specifications and stakeholder alignment
  • Prioritising under uncertainty and competing interests
  • Long lead times from idea to testable prototype

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.
  • Synthesise customer feedback and market information with AI into well-founded product decisions.
  • Produce specifications, user stories and roadmap communication faster and more precisely with AI.
  • Build clickable prototypes through vibe coding to validate ideas early with users.

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 Product Management
  • Feedback hub – A small app that collects feedback from various sources, tags it by theme and shows which problems are mentioned how often and by which customer segments.
  • RICE prioritisation calculator – An internal tool for scoring initiatives on reach, impact, confidence and effort and displaying them as a sortable ranking. Assumptions are documented per initiative.
  • Release notes generator – A web app that reads a list of completed tickets and produces release notes in an internal and a customer-facing version.
Module 7 Data protection, quality & transfer to daily work
  • Customer feedback and usage data often contain personal information and are subject to the GDPR; they should be pseudonymised before being processed in AI tools. Roadmaps and unreleased product information are trade secrets, and AI features in your own product must be assessed against the requirements of the EU AI Act.
  • 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

Synthesising customer feedback

Interviews, support tickets, app reviews and surveys are grouped by theme, problem and request and turned into an opportunity overview with supporting quotes for discovery.

PRDs and user stories

Problem statement, target users and goals become drafts of product requirement documents, user stories with acceptance criteria and edge cases, refined with engineering and design.

Preparing prioritisation

AI helps score initiatives using frameworks such as RICE or Kano, surface assumptions and prepare arguments for and against options ahead of prioritisation discussions. Disagreements become easier to resolve.

Competitor and market analysis

Feature comparisons, positioning and pricing models of competitors are structured and updated regularly; claims are backed by sources and checked critically. You keep track of market moves without lengthy manual research.

Prototypes via vibe coding

Product managers use AI coding tools to build clickable prototypes and simple functional demos to test concepts with users and make requirements tangible for the team.

Roadmap and release communication

Roadmaps, release notes, internal enablement material and customer communication are tailored to the audience – technical for engineering, benefit-led for sales and customers. Every audience gets exactly what it needs.

Possible hands-on projects

Feedback hub

A small app that collects feedback from various sources, tags it by theme and shows which problems are mentioned how often and by which customer segments.

RICE prioritisation calculator

An internal tool for scoring initiatives on reach, impact, confidence and effort and displaying them as a sortable ranking. Assumptions are documented per initiative.

Release notes generator

A web app that reads a list of completed tickets and produces release notes in an internal and a customer-facing version.

Prerequisites

No programming knowledge is required; confident use of a browser, office applications and spreadsheets is enough. Experience in product management or as a Product Owner; no programming skills 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

Customer feedback and usage data often contain personal information and are subject to the GDPR; they should be pseudonymised before being processed in AI tools. Roadmaps and unreleased product information are trade secrets, and AI features in your own product must be assessed against the requirements of the EU AI Act.

Suggested dates

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

  • Wed, 25 November 2026 – Thu, 26 November 2026 Online Request
  • Mon, 7 December 2026 – Tue, 8 December 2026 Bremen Request
  • Wed, 20 January 2027 – Thu, 21 January 2027 Online Request
  • Wed, 3 February 2027 – Thu, 4 February 2027 Salzburg Request
  • Thu, 18 February 2027 – Fri, 19 February 2027 Online Request
  • Tue, 23 February 2027 – Wed, 24 February 2027 Kaiserslautern 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.

Can AI make product decisions?

No, but it improves the basis for them. AI condenses feedback, surfaces assumptions and prepares options. Product vision, weighing trade-offs and accountability for decisions remain with product management. In the course you use AI deliberately as an analysis and sparring partner without giving up critical judgement.

How far can I get with vibe-coded prototypes?

Very far for clickable interfaces, simple logic and user testing – often within a few hours. Production-ready software with security, scalability and maintainability remains engineering's job. The course shows how prototypes improve collaboration with the team rather than replacing it.

How much does “Vibe Coding for Product Managers” 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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