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Implementing and Operating AWS Machine Learning Solutions

Training a machine learning model is only the first step. This course will teach you how to deploy, monitor, and scale your machine learning solution in preparation for the Machine Learning Specialty exam.

Advanced
1h 57m
(18)

Created by David Tucker

Last Updated Feb 06, 2025

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  • Course

Implementing and Operating AWS Machine Learning Solutions

Training a machine learning model is only the first step. This course will teach you how to deploy, monitor, and scale your machine learning solution in preparation for the Machine Learning Specialty exam.

Advanced
1h 57m
(18)

Created by David Tucker

Last Updated Feb 06, 2025

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This course is included in the libraries shown below:

  • AI
  • Cloud
What you'll learn

Machine Learning Implementation and Operations is one of the four domains covered by the AWS Machine Learning Specialty certification exam. In this course, Implementing and Operating AWS Machine Learning Solutions, you’ll learn key areas from this domain that are covered in the exam. First, you’ll explore the different AWS services that can support a machine learning solution in production. Next, you’ll discover how to deploy and scale a machine learning model with Amazon Sagemaker. Finally, you’ll learn how to implement security best practices for your machine learning solution with AWS. When you’re finished with this course, you’ll have the skills and knowledge in this domain needed to prepare for the AWS Machine Learning Specialty certification exam.

Implementing and Operating AWS Machine Learning Solutions
Advanced
1h 57m
(18)
Table of contents

About the author
David Tucker - Pluralsight course - Implementing and Operating AWS Machine Learning Solutions
David Tucker
42 courses 4.7 author rating 4628 ratings

David is a Webby Award winning cloud development consultant that focuses on cloud native web, mobile, and IoT applications. He has over 15 years of experience building digital solutions.

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