In this course we provide an overview to end-to-end deep learning with the latest version of Tensorflow/Keras. It covers the basic concepts to define models with Keras  and data pipelines with Tensorflow’s „Dataset“, and to visualize the results with Tensorboard while training. If training on one node or GPU is not enough,  we show how to scale up/out distributed training onto multiple compute nodes  and GPUs with Horovod. Furthermore, we provide an introduction to scikit-learn, with an overview of  different machine learning algorithms it provides and how to utilize it on GPUs  with H2O4GPU. The training courses consist of a hands-on exercises to be run directly on IT4I's infrastructure.