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AWS Certified Machine Learning Engineer - Associate (MLA-C01): ML Solution Monitoring, Maintenance, and Security

This course will teach you the concepts and skills needed to pass the Machine Learning Solution Monitoring, Maintenance, and Security domain of the AWS Certified Machine Learning Engineer - Associate (MLA-C01) exam.

Intermediate
2h 57m
(1)

Created by Craig Arcuri

Last Updated Jan 08, 2025

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  • Course

AWS Certified Machine Learning Engineer - Associate (MLA-C01): ML Solution Monitoring, Maintenance, and Security

This course will teach you the concepts and skills needed to pass the Machine Learning Solution Monitoring, Maintenance, and Security domain of the AWS Certified Machine Learning Engineer - Associate (MLA-C01) exam.

Intermediate
2h 57m
(1)

Created by Craig Arcuri

Last Updated Jan 08, 2025

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This course is included in the libraries shown below:

  • AI
  • Cloud
What you'll learn

Machine learning in AWS adheres to the same guiding security principle of least privilege. Additionally, it is important to monitor ML workloads for performance and security issues. In this course, AWS Certified Machine Learning Engineer - Associate (MLA-C01): ML Solution Monitoring, Maintenance, and Security, you’ll learn to monitor, maintain, and secure machine learning workloads, and additionally, optimize these workloads for performance and cost savings. First, you’ll explore monitoring machine learning workloads. Next, you’ll discover how to balance the often opposing goals of high performance and cost in machine learning solutions. Finally, you’ll learn how to use various AWS security services to secure machine learning workloads. When you’re finished with this course, you’ll have the skills and knowledge of machine learning on AWS needed to excel in this domain of the certification exam.

AWS Certified Machine Learning Engineer - Associate (MLA-C01): ML Solution Monitoring, Maintenance, and Security
Intermediate
2h 57m
(1)
Table of contents

About the author
Craig Arcuri - Pluralsight course - AWS Certified Machine Learning Engineer - Associate (MLA-C01): ML Solution Monitoring, Maintenance, and Security
Craig Arcuri
24 courses 4.1 author rating 65 ratings

Craig has over 20 years of experience in IT in areas ranging from Systems and Network Engineering, Software Development, Technical Project Management, and Amazon Web Services. He has been creating content in Amazon Web Services for over 5 years. Areas of expertise include AWS Certified DevOps Professional, CloudFormation, and the AWS Developer Tools Suite. Craig holds 6 AWS Certifications as well as a Project Management Professional certification.

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