In this simple exercise, we want to deploy the RUL estimation developed in Chapter 14, Implementing a Digital Twin – Advanced Analytics.

The steps we need to follow to build the analytics are listed as follows:

1. Download the dataset and upload it into an Amazon S3 bucket
2. Create a new Jupyter Notebook instance in the SageMaker console
3. Explore the dataset through a Jupyter Notebook and create a training data and a test dataset
4. Train a model using the SageMaker distributed computing architecture
5. Host the model in the SageMaker managed hosting infrastructure and expose an inference endpoint
6. Work with the endpoint