Hands-On Industrial Internet of Things

Evaluating the remaining useful life (RUL) of an engine with SageMaker

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