From the course: Machine Learning with SageMaker by Pearson
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Learning objectives - Amazon SageMaker Tutorial
From the course: Machine Learning with SageMaker by Pearson
Learning objectives
Welcome to Lesson 8, where we focus on monitoring and optimizing machine learning solutions in AWS. In this lesson, you'll learn how to use SageMaker model monitor to detect data drift and ensure data quality, set up alerts and CloudWatch dashboards for real time insights, and implement cost saving strategies with auto scaling and SageMaker savings plans. These tools and techniques are designed to help you maintain robust, efficient, and cost-effective ML solutions in production.
Contents
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Module introduction34s
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Learning objectives33s
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Using SageMaker Model Monitor for data drift and quality5m 49s
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SageMaker Model Monitor demonstration6m 30s
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Setting up alerts and CloudWatch dashboards7m 41s
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Cost optimization with auto-scaling and SageMaker Savings Plans7m 9s
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SageMaker auto scaling demonstration9m 31s
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