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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.

Advanced
4h 59m 45s

Created by Amber Israelsen

Last Updated Jul 27, 2024

Machine Learning on AWS Deep Dive
Advanced
4h 59m 45s
Course Thumbnail
  • Course

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.

Advanced
4h 59m 45s

Created by Amber Israelsen

Last Updated Jul 27, 2024

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This course is included in the libraries shown below:

  • AI
  • Cloud
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
54 courses 5760 ratings

Amber has been a software developer and technical trainer for over two decades, sharing her expertise in AI, machine learning, AWS, and Power Apps with students around the world. She has a knack for making complex tech topics easy to grasp, whether you’re a developer, designer, or business professional. Amber holds certifications in machine learning, AWS, and various Microsoft technologies, including her experience as a former Microsoft Certified Trainer. With a strong background in visual communication and user experience, she brings a wealth of knowledge and a friendly, approachable style to her teaching.

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