Learn about drone technology, avionics and flight mechanics safely and in a practical setting in the laboratory.

Unmanned aerial vehicles (UAVs) are revolutionising industry, logistics and inspection technology worldwide. As these systems become increasingly complex, the demand for qualified technicians and engineers is growing rapidly. The modular UAV training system bridges the gap between theoretical knowledge and practical application: it brings the full technology of state-of-the-art drones into a safe, controlled and pedagogically designed laboratory environment.

In the field of modern automotive technology, the focus is increasingly on electric drives. As a cutting-edge innovation, this drive technology is constantly evolving, making training and professional development essential for skilled workers. Anyone who wants to keep pace with the dynamic changes needs a sound education and training to stay up to date at all times. This is where LN comes in: With our training systems, we are creating a vital link between industrial practice and training institutions. Particularly in the field of hybrid and electric vehicles, the training system significantly enriches the learning landscape by combining practical training scenarios, the highest safety standards and targeted theoretical approaches into a holistic, future-oriented concept.

In the future, new technology will better equip power grids for the demands of tomorrow. More flexible grid management should make the increasing proportion of renewable energy sources compatible with conventional infrastructures associated with power stations. The variety and number of these decentralized power plants require a revision in how we manage power grids – so-called intelligent networks or "smart grids":

Artificial Intelligence is becoming increasingly significant, both in industry and in everyday private life. A large share of that development involves the subdomain of machine learning. Self-learning machines and algorithms make it possible to process large quantities of data faster and more efficiently. But AI is always only as clever as the people who use it and feed it with data.

With its new training system providing a practical introduction to machine learning, Lucas-Nülle helps you present the operating principle of machine learning very simply and clearly. It uses practical examples to lay out the complete workflow for implementing such applications, from the procurement of the data sets to the application of the finished algorithms. In so doing, it gives students an idea of the benefits and possibilities of machine learning and provides them with skills to put it to effective use.

The amount of renewable energy compared to fossil fuels like coal, oil, and gas is increasing more and more worldwide. The technical possibilities to utilize them are also on the rise, thanks to innovative concepts and engineering. Solar energy, wind power, hydrogen and biomass are well established and utilizable as environmentally friendly energy sources. Fluctuations in power generation are offset thanks to energy management, energy storage technologies and grid sector coupling. To be able to continue this trend and achieve the energy revolution, well-trained engineers and technicians will be needed all over the world.