Machine learning (ML) has become a key technology ingredient for businesses across industries to deliver delightful customer experiences. Amazon SageMaker helps data scientists and developers to prepare, build, train, and deploy high-quality ML models quickly by bringing together a broad set of capabilities purpose-built for ML.
The hands-on workshop provides an end to end understanding of building ML use cases. It will cover feature engineering, understanding various in-built algorithms, and the steps needed to train, tune and deploy an ML model into a production-like environment. It guides you in bringing your own model, working through how to perform a “lift-and-shift” from an on-premises ML workload into the Amazon SageMaker platform.