Technical requirements

The following are the technical requirements that you need to complete before building the example implementation at the end of this chapter:

1. Complete the steps to set up the prerequisites for Amazon SageMaker as described here: https://docs.aws.amazon.com/sagemaker/latest/dg/gs-set-up.html.
2. Create a SageMaker notebook instance by following the steps in the following guide: https://docs.aws.amazon.com/sagemaker/latest/dg/howitworks-create-ws.html.

Note

At the step where you need to choose the notebook instance type, please select ml.p2.xlarge.

3. Create an S3 bucket, as described in Chapter 4, in the Building a smart medical transcription application on AWS section, under Create an S3 bucket. If you already have an S3 bucket, you can use that instead of creating a new bucket.
4. Open the Jupyter notebook interface of the Sagemaker notebook instance by clicking on Open Jupyter link on the Notebook Instances screen.
5. On the top right...