From the course: Machine Learning with SageMaker by Pearson
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Module introduction - Amazon SageMaker Tutorial
From the course: Machine Learning with SageMaker by Pearson
Module introduction
Welcome to Module 4, ML Solution Monitoring, Maintenance, and Security. In this module, we will focus on the critical practices needed to keep your machine learning solutions reliable, secure, and up-to-date. You'll learn how to monitor models for data drift and performance issues, set up alerts and dashboards for predictive maintenance, and optimize costs using AWS tools like autoscaling and savings plans. We'll also explore best practices for securing ML models and data in SageMaker.
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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