Build, Train, and Deploy Machine Learning Models with Amazon SageMaker

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Course Features

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Duration

2.67 hours

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Delivery Method

Online

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Available on

Downloadable Courses

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Advanced

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Effort

2 hours per week

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Teaching Type

Self Paced

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Video Content

2.67 hours

Course Description

If you are looking to rapidly integrate machine learning into your applications, a fully managed machine-learning service is the best place to start. This course, Build, Train and Deploy MachineLearning Models with Amazon SageMaker will teach you how to create and integrate machine learning models into your applications. You will first learn how SageMaker works. Next, you will learn how to train, build, and deploy models for Image Classification to detect breast cancer. Finally, you will be able to integrate these models into a REST API. You will also learn how to manage security in Amazon SageMaker. When you're finished with this course, you will have a foundational understanding of Amazon SageMaker that will help you immensely as you move forward to create your own machine-learning-enabled applications applied to different real-life scenarios.

Course Overview

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

AWS SageMaker

Building Machine Learning Models Using AWS SageMaker

Deploying Machine Learning Models Using AWS SageMaker

Managing Security and Scalability in AWS SageMaker

Training Machine Learning Models Using AWS SageMaker

Course Instructors

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Kim Schmidt

Instructor

Kim Schmidt has been working in the technology industry for more than 12 years with an extremely broad array of titles and using very diverse technologies. She holds many industry certifications and ...
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