Our Courses

Upskill fast—apply data science, AI, and machine learning directly to wind energy challenges, with the option to bring your own project.

Master Prognostics and Health Management (PHM) to optimise wind energy system reliability and maintenance through data-driven strategies and informed decision-making.

Discover actionable insights from operational wind turbine data—master advanced analytics and prognostics to optimise wind farm performance and reliability.

Bridge the gap between experimental testing and numerical modelling—master material characterisation techniques to deliver high-quality input data for wind energy simulations.

Unlock the power of data-driven modeling to accurately estimate the remaining useful life of wind turbine assets and make informed lifecycle decisions.

Boost productivity and efficient collaboration with Git – the world's leading version control system.

Deliver robust, finance-ready wind assessments—master uncertainty quantification and reporting to meet industry standards and project demands.

Master different types of wind turbine blade testing— from standards to simulation with DTU scientists.

Transform your Python skills into wind energy expertise—master modern wind resource assessment with industry-leading tools and DTU scientists. 

Applying numerical design optimization will help you find improved designs automatically and allow you to carry out more design studies.