Data may be the new oil, but refined data is the fuel for AI. Machine learning (ML) systems are only as good as the data they are trained on and getting the data in the right format at the right time is a challenge. In this workshop, we will start with an introduction to ML, the opportunities it presents, and the challenges to becoming an AI-enabled company. We will then proceed to build an end-to-end ML pipeline using TensorFlow. To this end, we will then introduce the open-source Hopsworks platform, an end-to-end platform for ML on Big Data. SICS ICE hosts a managed version of the Hopsworks platform at www.hops.site, and our hands-on workshop will use GPUs/compute/storage on the SICS ICE platform. We will walk you through the Hopsworks platform, writing an end-to-end deep learning application in only Python. Bring a laptop for the hands-on part, and it helps if you have written Python code before (although it is not a requirement). We will work with TensorFlow, and show scale out our application horizontally with Spark in Hopsworks. We will also walk through an ML pipelines that is orchestrated by Airflow.