README_stu.md

Upcoming O'Reilly Book: Data Science on Amazon Web Services

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Workshop Agenda

Workshop Instructions

1. Click on AWS Console

Take the defaults and click on Open AWS Console. This will open AWS Console in a new browser tab.

Double-check that your account name is something like IibsAdminAccess-DO-NOT-DELETE... as follows:

If not, please logout of your AWS Console in all browser tabs and re-run the steps above!

2. Create TeamRole IAM Role

3. Launch an Amazon SageMaker Notebook Instance

Open the AWS Management Console

In the AWS Console search bar, type SageMaker and select Amazon SageMaker to open the service console.

4. Update IAM Role Policy

Click Attach Policies.

Select AmazonS3FullAccess and click on Attach Policy.

Note: Reminder that you should allow access only to the resources that you need.

4. Start the Jupyter notebook

Note: Proceed when the status of the notebook instance changes from Pending to InService.

5. Launch a new Terminal within the Jupyter notebook

Click File > New > [...scroll down...] Terminal to launch a terminal in your Jupyter instance.

6. Clone this GitHub Repo in the Terminal

Within the Jupyter terminal, run the following:

cd ~/SageMaker && git clone https://github.com/data-science-on-aws/workshop

7. Navigate Back to Notebook View

8. Start the Workshop!

Navigate to 01_intro/ in your Jupyter notebook and start the workshop!

You may need to refresh your browser if you don't see the new workshop/ directory.