Professional workshops, in-house trainings and online seminars on AI in production and advanced manufacturing - led by a professor who bridges research and industry. And unlike classic seminars, we don't stop after the last slide.
Free initial consultation · online via Google Calendar
From compact webinars to multi-day in-house programs - all formats available in English and German
Interactive one- or multi-day workshops on site or online. Your team works on realistic use cases and leaves with methods it can apply the next day.
Tailored training programs built around your products, processes and data. Content, depth and duration are designed together with you.
Compact live sessions on current topics such as AI in production - ideal as an introduction, for management briefings or to align a larger group quickly.
Multi-session online courses with exercises between sessions. Deep dives into machine learning, process optimization and data-driven engineering.
Most seminars end when the slides do. Our programs include structured follow-up sessions in which we work on your real problems - and, where it makes sense, grow into joint applied research.
Your team builds a solid, practical foundation - methods, tools and a shared language for AI and data-driven engineering.
In regular follow-up appointments we apply what was learned to your concrete production challenges and develop solutions together - hands-on, with your data and your processes.
Problems that need deeper investigation become well-defined research questions - the ideal starting point for contract research, feasibility studies and joint R&D projects.
"The workshop is the beginning of a collaboration, not the end of a lecture."
Current program focus - additional topics available on request
The flagship program: where artificial intelligence creates real value on the shop floor - predictive quality, predictive maintenance, process optimization and AI-assisted decision making. From first use case to rollout strategy.
ML fundamentals translated for engineering practice - regression, classification, Bayesian optimization and how to use them on real process data.
From sensor data to better processes: design of experiments, statistical modeling and optimization strategies for manufacturing.
Process understanding, quality assurance and data-driven optimization of advanced joining processes.
Designing smart machines: sensors, control, software and how AI upgrades classical automation.
Powertrain systems, battery thermal management and simulation-supported design for electric vehicles.
As a professor, I teach and research at the interface of AI, machine learning and production technology. As a consultant and engineer, I have spent years solving real manufacturing problems in industry. This double perspective shapes every program: scientifically sound, but always focused on what works on your shop floor.
Book a free initial consultation - we discuss your goals, your team and which format fits best.