When you enroll through our links, we may earn a small commission—at no extra cost to you. This helps keep our platform free and inspires us to add more value.
Build, Train, and Deploy Machine Learning Models with Amazon SageMaker 1
In this course, you are going to learn the skills you need to build, train, and deploy machine learning models in Amazon SageMaker, including how to create REST APIs to integrate them into your applications for solving real-world problems.
This Course Includes
pluralsight
3 (49 reviews )
2 hour 41 minutes 
english
Online - Self Paced
core courses
pluralsight
About Build, Train, and Deploy Machine Learning Models with Amazon SageMaker 1
A fully managed machine learning service is a great place to start if you want to quickly get machine learning into your applications. In this course, Build, Train, and Deploy Machine Learning Models with Amazon SageMaker, you will gain the ability to create machine learning models in Amazon SageMaker and to integrate them into your applications. First, you'll learn the basics and how to set up SageMaker. Next, you'll discover how to build, train, and deploy models applied to Image Classification for breast cancer detection and how to integrate them into a REST API. Finally, you will even discover how to manage security and scalability 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.
What You Will Learn?
- Course Overview : 1min.
- Getting Started with AWS SageMaker : 12mins.
- Building Machine Learning Models Using AWS SageMaker : 56mins.
- Training Machine Learning Models Using AWS SageMaker : 43mins.
- Deploying Machine Learning Models Using AWS SageMaker : 29mins.
- Managing Security and Scalability in AWS SageMaker : 18mins.