Amazon Sagemaker - Machine Learning for every data scientist and developer

Amazon SageMaker is a fully managed service that allows developers and data scientists to build, train, and deploy machine learning models. There are a lot of components to SageMaker, whether you’re using the managed development environments, the ephemeral training clusters, the hyperparamater tuning, or the deployed endpoints among lots of different features and capabilities. We typically talk about those capabilities as falling into four categories: Data preparation, the model build phase, training and tuning, and deployment and management (or hosting). These four categories really address the needs that ML builders have when dealing with each stage of a model’s lifecycle. During this session, I will walk you through on the 4 key categories and give you a full feature tour of as many of these features that might be interesting to you. Session delivered at the APN AI/ML Blackbelt track for AWS partners in Nov, 2021.