Machine Learning Workshop

This repo holds the Jupyter notebooks and other resources such as CFN templates to run the SageMaker Machine Learning workshop led by Matt McClean from AWS.

Setup

Follow the instructions below to setup your S3 bucket, IAM role and SageMaker Notebook Instance.

We will use CloudFormation to create our resources via a template file. To do this,

1. Click the Launch Template button below to open the AWS CloudFormation Web Console to create a new CloudFormation stack. Click through the options and select the SageMaker instance type. The ml.t2.medium option is part of the AWS Free Tier. See the SageMaker pricing page for more details.

Take note of the resources created including:

• S3 bucket where the training data and models will be stored
• IAM service role allowing SageMaker access various AWS services
• SageMaker Notebook Instance to run the exercises in the workshop.

2. Open the SageMaker Management console and select the SageMaker notebook instance named: AmsterdamWorkshopInstance as per the screenshot below.