AWS – Now Use Lifecycle Configurations to Customize Amazon SageMaker Studio

Amazon SageMaker Studio is the first fully integrated development environment (IDE) for machine learning (ML). SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps required to prepare data, as well as build, train, and deploy models. With a single click, data scientists and ML developers can quickly spin up SageMaker Studio Notebooks for exploring datasets and building models. Now you can use lifecycle configurations to automate customizations for your Studio development environment.

Read More for the details.