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.
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 the Open Jupyter link on the Notebook Instances screen.
5. In the top-right corner of the Jupyter notebook, click on New and then Terminal.
6. Type the following commands on the terminal...