From the course: Machine Learning with SageMaker by Pearson

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Learning objectives

Learning objectives

Welcome to Lesson 7, where we will explore how to automate machine learning workflows with SageMaker Pipelines. This lesson begins with building and managing ML pipelines focusing on creating repeatable and scalable workflows. Next, we'll dive into integrating data processing and training steps to streamline the ML lifecycle. Finally, we'll look at triggering pipelines with an AWS EventBridge, enabling real-time updates and automated retraining.

Contents