Data mining on-premises has a long tradition with Microsoft SQL Server and Machine learning in Azure is the cloud-based brother, both supporting a handful of great algorithms for your business to grow. This session will be focused on benefits of building a predictive model using Azure Machine Learning (ML) studio and exploring its capabilities. We will cover subjects from a quick introduction to ML to creating the ML workspace with data upload, training the data sets and evaluating the solutions/models, and using these solutions with the ML API Service. With a great support for the R language in Azure ML, we will also explore the usage of R scripts in Azure ML.