Amazon SageMaker notebooks provide a fully managed environment for machine learning and data science development. This playground lab allows you to choose from Amazon's curated library of sample notebooks to learn about what is most important to you. There are hundreds of notebooks to choose from. Example topics covered in the sample notebooks include:
You may also use the playground to develop your machine-learning models and gain hands-on experience with SageMaker.
Upon completion of this beginner-level lab, you will be able to:
This lab is intended for:
You should be familiar with:
April 10th, 2025 - Updated lab steps and screenshots to reflect latest SageMake Notebook titles and UI
February 15th, 2021 - Updated blazingtext_hosting_pretrained_fasttext comments to work with SageMaker v2 library
December 16th, 2020 - Included a warning about the rollout of the Python SageMaker v2 library potentially breaking notebooks targeting v1 until AWS removes or updates impacted notebooks