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Training

AI skills that land in everyday work

We build AI proficiency where it is needed: in the leadership team, in specialist departments, and in the development team. Formats that build on each other rather than one-off talks, with hands-on exercises on your own use case.

The formats

Four building blocks, standalone or as a series

Each format stands on its own. Together they form a path from strategic entry point to hands-on application. We adjust order and depth to your team's level of knowledge.

2–3 hours

Kickoff for the leadership team

Leadership team and decision makers. Strategic direction, an assessment of the current level of knowledge, and the selection of topic areas and the right follow-up workshops.

2–3 hours

Practical AI introduction

Employees with little or no AI experience. Fundamentals, safe use, and a first use case of their own.

3 hours

AI for advanced users

Regular AI users. Building on prior knowledge, with an upfront qualification step so the group starts at the same level.

1–2 hours

Business Development Workshop

Management and strategy. Optional add-on: developing and evaluating use cases in a structured way.

Delivered in small groups, on site or hybrid with a Teams dial-in. Off-peak time slots are possible so operations keep running. Group size, scope, and format are agreed individually.

The content

What the workshops are built from

Elaborated topic blocks that we combine depending on format and prior knowledge. No frontal lecture: every block includes exercises on your own use case.

01

Fundamentals

AI and data science set apart, methods of machine learning, multimodality, how models learn. Plus the topics that matter in daily use: recognizing hallucinations, data protection, and why a human stays in the decision chain.

02

Prompt Engineering

Core principles and method, a traceable step-by-step approach, weak and strong prompts compared directly, and best practices for everyday work.

03

Market overview

Who offers what: established providers, challengers, European alternatives. Licensing models, benchmarks, and which of it actually matters for your requirements.

04

Where the technology stands

How performance and cost have developed, where the race between providers stands, and how to separate expectation from reality.

05

Use cases and interaction patterns

Where AI actually carries weight inside an organization: recurring tasks, documentation, research, drafting. Which way of working fits which tool.

06

Maturity and prerequisites

What needs to be in place organizationally and technically before AI reaches the process, and how AI proficiency becomes a lasting part of the organization.

For development teams

Hands-on instead of slides

For developers and technical leads we offer a dedicated, hands-on format: work happens on a real task, with the tools the team already uses. The result is not a slide deck but a completed work cycle.

Tools and limits

How AI assistance in the IDE actually works, where it holds up, and where it reliably gets it wrong.

Instructions that work

Why good instructions matter more than the choice of model, and how to standardize that across a team.

One pass through your own code

From planning through implementation to tests and documentation, in a time budget that fits into a morning.

Certificate

Certificate of attendance included

All participants receive a certificate of attendance, bilingual in German and English on request. It documents the format, content, and scope of the training attended.

The certificate of attendance documents participation in the training. Whether this satisfies the obligations under Article 4 of the EU AI Act in a given case is for the operator to assess. We do not provide legal advice.

Which format fits your team?

Tell us where your team stands. We suggest a scope that fits, instead of selling a package.

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