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Machine Learning on AWS Deep Dive

Deep dive into machine learning (ML) on AWS! Learn to build, train, and deploy ML projects with SageMaker Studio and other AWS services.

Amber Israelsen - Pluralsight course - Machine Learning on AWS Deep Dive
by Amber Israelsen
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What you'll learn

In this course, *Machine Learning on AWS Deep Dive*, you’ll learn to securely build, train, and deploy machine learning (ML) projects with SageMaker Studio and other AWS technologies. First, you’ll explore the SageMaker suite of products and AWS AI/ML services. Next, you’ll discover how to use SageMaker Studio to prepare data and build, train, and deploy a machine learning model. Finally, you’ll learn how to apply security best practices to your machine learning pipelines. When you’re finished with this course, you’ll have the skills and knowledge of machine learning on AWS needed to solve real-world problems.

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About the author

Amber Israelsen - Pluralsight course - Machine Learning on AWS Deep Dive
Amber Israelsen

Amber has been a software developer and technical trainer since the early 2000s. She holds certifications for AWS and a variety of Microsoft technologies. She also focuses on user experience and professional skills training, bridging the gap between techies and non-techies.

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