Once you've developed a kickass Machine Learning model, you need to get that model to your computing devices (phones) to do your predictions! Most Machine Learning projects in production will 'train' the model on cloud servers, then 'deploy' the model to an API server or mobile device. This session will introduce the attendee on using TensorFlow Serving and Apple CoreML to deploy Machine Learning models to a mobile app.