Start Date: November 24th

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

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

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

Shape the sustainable future of wind energy—master strategies for sustainable, cost-effective end-of-life management and circular solutions.

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

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

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

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

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

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

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