Learn and experiment with ML using a no-setup, free development environment

Come learn how Amazon SageMaker Studio Lab is accelerating ML education with a free, no-configuration ML environment and no AWS account required to get started. Amazon SageMaker Studio Lab offers an open-source Jupyter notebook environment integrated with the GitHub software development platform and preconfigured with the most popular ML tools, frameworks, and libraries so that students can write ML code immediately without having to configure the ML environment. Using Amazon SageMaker Studio Lab, you can work on ML projects without worrying about saving models.