Onboarding to SageMaker Studio
Amazon SageMaker Studio is a fully integrated environment for machine learning. With SageMaker Studio, we can easily use the other features and capabilities of SageMaker in this environment, such as SageMaker Autopilot, SageMaker Debugger, and SageMaker Experiments, using its intuitive user interface. In this recipe, we will set up SageMaker Studio so that we can use its different features and integrations in the succeeding recipes. We will assume that this is your first time using SageMaker Studio, so we will work on setting up the execution roles and other prerequisites in this recipe as well.
In the Creating and monitoring a SageMaker Autopilot experiment in SageMaker Studio (console) recipe, we will see how easy it is to create an Autopilot experiment using SageMaker Studio without having to write a single line of code. For now, we will be focusing on getting our environment set up so that we can use it in the subsequent recipes.
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