In this session, we explore a way to host a machine learning (ML) model into AWS Lambda functions and get inferences through Lambda invocations. We start with a demo dataset, then we create an ML model. Once the model is built, it is trained with Keras/TensorFlow and Gluon/MXNet using Amazon SageMaker. Finally, we demonstrate how to implement Lambda functions that are able to host this model and get inferences.