Amazon SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps, improving data science team productivity by up to 10x. SageMaker Studio gives you complete access, control, and visibility into each step required to build, train, and deploy models. You can quickly upload data, create new notebooks, train and tune models, move back and forth between steps to adjust experiments, compare results, and deploy models to production all in one place, making you much more productive. All ML development activities including notebooks, experiment management, automatic model creation, debugging, and model and data drift detection can be performed within SageMaker Studio.
In this section we’ll go through setting up SageMaker Studio.
Log in to the Amazon SageMaker console
Start by visit the Amazon SageMaker webpage and click on
Get Started with SageMaker as shown on the screenshot below.
Navigate to Amazon SageMaker Studio
If this is your first time using Amazon SageMaker Studio, you must complete the Studio onboarding process. When onboarding, you can choose to use either AWS Single Sign-On (AWS SSO) or AWS Identity and Access Management (IAM) for authentication methods. When you use IAM authentication, you can choose either the Quick start or the Standard setup procedure. For simplicity, this tutorial uses the Quick start procedure.
In the Get started box, choose Quick start. Leave the default name as it is.
Under Execution role , choose Create a new role.
In the dialog box that appears, choose
Any S3 bucket and choose
Create role. Amazon SageMaker will create a role with the required permissions and assign it to your instance. This allows your Amazon SageMaker instance to access all the Amazon S3 buckets in your account. If you already have a bucket that you'd like to use instead, select
Specific S3 buckets and specify the bucket name.
Amazon SageMaker creates the AmazonSageMaker-ExecutionRole-*** role.
Submit. You should see a message saying that the studio is being configured. This step should take less than 5 minutes.
When Amazon SageMaker Studio is ready, click
Wait for Amazon SageMaker Studio to load. You’ll see the following on your screen and it should take a few minutes launch the interface. This step should take less than 5 mins.
Amazon SageMaker Studio should now be open on a separate browser tab.