This talk shows how to productionize Deep Learning models built by data scientists – a key challenge in most companies. The first part introduces Deep Learning using open source frameworks like TensorFlow, Deeplearning4j or H2O. The second part shows how to deploy the built analytic models to mission-critical and scalable real time applications by leveraging Apache Kafka as streaming platform.