As a data scientist you might be interested in how to improve the development in a ML lifecycle and bring ML algorithms faster to production or overcome challenges with the current development cycle. In this 1-day course in Machine Learning on Azure we explain how you can develop and train your machine learning algorithms in Azure at scale, MLOps principals to register and track ML models, how to easily deploy and serve models. The course explains all the principles and is supported with practical exercises to cover the end-to-end ML lifecycle.
In this fundamentals workshop we aim to share and show what a BI professional should know about building BI and Analytics platforms in the Azure Cloud. In this first day we go through the theory & fundamental concepts on Data & Analytics in Azure
Because of a lack of offerings in the Belgian market, element61 has developed a training on Data Quality, -Profiling and -Management. Details on the training objectives and target audience can be found below.