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 own machine learning models and gain hands-on experience with SageMaker.
Upon completion of this Lab you will be able to:
This lab is intended for:
You should be familiar with:
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
Logan has been involved in software development and research since 2007 and has been in the cloud since 2012. He is an AWS Certified DevOps Engineer - Professional, AWS Certified Solutions Architect - Professional, Microsoft Certified Azure Solutions Architect Expert, MCSE: Cloud Platform and Infrastructure, Google Cloud Certified Associate Cloud Engineer, Certified Kubernetes Security Specialist (CKS), Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), and Certified OpenStack Administrator (COA). He earned his Ph.D. studying design automation and enjoys all things tech.