The activities shall link to DestinE ML activities and help promote the Digital Twins and Digital Twin Engine where possible. Many of the ML activities in DestinE are currently ramping up as part of the second phase of the initiative. The Successful Tenderer will therefore be required to keep up to date with the progress of DestinE, and in particular of the ML activities including through periodic meetings with ECMWF. The material should include a series of online courses, e-learning material, educational videos, podcasts and other innovative learning materials aimed to create an engaging learning experience, ensuring high-quality content. It shall also include inputs for in-person training events. The central requirements of this ITT are to design, develop and deliver a package of online training materials on ML on weather, climate, and Earth system modelling, which links to and exemplifies the ML/AI activities carried out by ECMWF and its partners in DestinE and related projects and the Digital Twins. ECMWF intended to award a single contract for a period of 24 months, expected to commence in Q1 2025. The competition yielded no satisfactory results.