Make AI the new standard









In our trainings, learn how to automate tasks, create content faster and make better decisions with AI tools. Practical instead of buzzword bingo — with best practices from our own project work and real use cases from your everyday work. This saves you time every day, reduces errors and increases quality.

Our modular AI training series provides your company with flexible support from the basics to expert knowledge in the use of generative AI in the workplace.
Our training for your use of AI tools. Tools, prompting skills and use cases from everyday work. Learn to work more efficiently with artificial intelligence.
For managers and C-levels: You decide on the pace, risk and investment of your company. To do this, you need a clear view of what AI can do today and how you use it. You will learn all this in a compact 1-day training including a strategy briefing in advance.

Learn how to use Copilot securely and effectively in Outlook, Teams and Microsoft 365, among others. With clear prompts, meaningful settings and practical routines.

Quick start or deep dive: In entry-level or advanced training, we teach you everything you need to know about tried and tested machine learning workflows on Databricks at different depths.
Without competencies, AI remains just theory. The safe application of AI skills in everyday working life is crucial: meaningful use, measurable results, reliable operation. Our trainings are the right component of your AI strategy:
It all starts with a common image of AI: What is possible, what is not — and where does that affect your data, processes and goals. Training creates language, criteria and initial guidelines for this. So that priorities and next steps are not set arbitrarily, but well-founded.
The impact of AI solutions must be visible in everyday life. With clear prompt patterns, quality checks and repeatable workflows in existing tools, results are reproducible and measurable. This ensures acceptance within the team and lays the basis for scaling sensibly.
On this basis, proprietary solutions are created, neatly connected to existing systems and with clear roles, governance and operation. Monitoring, security and a learning/update rhythm make pilots reliable standards. In this way, AI becomes part of the way we work — and remains powerful as requirements grow.
Our step-by-step approach ensures that your AI initiatives are developed in a practical way and deliver sustainable added value.
We analyse the status quo and identify potential for AI in your processes. In workshops, we bring specialist departments and IT together, collect ideas and prioritize use cases.
For the most promising approaches, we are examining feasibility, data availability and ROI potential. We look at technical requirements (such as required data pipelines, infrastructure) and business impact.
We develop rapid prototypes or MVPs (Minimum Viable Products) to test AI applications on a small scale. In this way, we gain early feedback and demonstrate the benefits with real data.
Based on the findings, we create a roadmap for company-wide implementation. We plan integration into processes, train employees and define metrics to make success measurable.
April 23, 2026 | 6 pm | CODE_n Stuttgart
An event for managers and decision makers who want to strategically advance AI and make valuable contacts in a relaxed atmosphere.
That depends primarily on where your team is today and what you actually want to achieve with AI. We'll help you choose the format that suits your day-to-day work, level of experience, and goals.
Not every team needs the same training. Sometimes the first step is to get started with AI in a safe and practical way. Sometimes the goal is clearer and a focused format is needed, such as for Microsoft Copilot, for executives, or for technical teams. And if AI is to be anchored more broadly in the company, a learning journey often makes more sense than a single appointment. That's why we're not just looking at the topic, but at what your team should actually be able to do better after training.
An AI learning journey makes sense when AI is not only to be understood selectively, but is to be gradually built up within the company. A single training session is more likely to be enough if you want to work on a clearly defined topic quickly and specifically.
A single training session is strong if you have a specific goal, such as getting started with AI at work, co-pilot training, or a compact leadership format. A learning journey is better if you want to bring together different levels of knowledge in the company and establish AI across several levels. That is exactly what the modular format is intended for: from basics to in-depth use of generative AI in everyday working life. So if you don't just want to impart knowledge, but also want to enable development over time, the learning journey is the more appropriate framework.
In this training, your team learns how to use AI tools sensibly in everyday work. This includes tools, prompting skills and use cases that contribute directly to typical tasks in the company.
This training is intended for teams who want to work more productively with AI in their day-to-day business. The focus is on the practical use of AI tools, the use of good prompts and specific use cases from everyday working life. The aim is not to teach as much theory as possible, but to make the use of AI so tangible that it results in better routines, faster results and more safety in use. That is exactly why we work closely on the tasks that actually arise in everyday working life.
Yes, if you have a say in direction, pace, risk and investment. There are different questions for managers than for operational teams, and this is exactly what leadership training is designed to do.
As a manager, you must not only understand AI, but also classify and take responsibility for it. For you, it is less about individual tools than about the question of what AI can realistically achieve today, how it is used sensibly and what consequences this has for decisions in the company. That is why the AI leadership training is deliberately structured as a compact 1-day format with strategy briefing in advance. It gives you a clear view of benefits, limits, and options for action without overloading yourself with operational details.
Yes, in most cases yes. Microsoft Copilot only really becomes useful when your team knows how to use the tool securely and effectively in Outlook, Teams, and Microsoft 365.
An unlocked license alone does not ensure productive use. It is crucial that your team understands which prompts work in practice, which settings make sense and how Copilot can be integrated into existing routines. Microsoft Copilot training is designed to do just that. It helps to make a reliable approach to everyday work out of general curiosity. That is usually the difference between selective testing and real use.
Yes For technical teams, we offer machine learning training, which is structured as an introduction or as a deep dive, as required.
Not all training is aimed at general business teams. If you work with machine learning on a technical level, you need another format. This is exactly what machine learning training with entry-level and advanced levels is for. The focus is on tried and tested machine learning workflows on Databricks, taught in depth that suits your team. This means that the training offer can be used not only for broad AI expertise, but also for specialized development in data and AI-related roles.
We are looking forward to your request and are excited to see what you have in mind. With us, you'll be met with open ears, let's get started with your AI project right away. Just tell us what you need!
