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.
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.
Author Name: Jorge Vasquez
Author Description:
Jorge is a passionate person who loves building quality software that allows people to solve their problems. He also loves to teach, that’s why he works several years ago teaching programming and software development to university students. He has experience developing highly performant backend systems with Java and Node.js, building ETL processes with Python and Scala and working with cloud platforms such as Amazon Web Services. His current areas of interest include Deep Neural Networks, Comput… more
Table of Contents
- 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
User Reviews
Be the first to review “Build, Train, and Deploy Machine Learning Models with Amazon SageMaker 1”
Related Products
Intro to Cloud Computing
Learn the foundations of cloud computing across platforms like AWS, Cloud, Azure, and GCP.
Machine Learning: Logistic Regression
Predict the probability that a datapoint belongs to a given class with Logistic Regression.
Learn R
Learn how to code and clean and manipulate data for analysis and visualization with the R programming language.
Machine Learning: Random Forests & Decision Trees
Learn how to build decision trees and then build those trees into random forests.
Machine Learning: Perceptrons
Level up your machine learning skills by learning how to build perceptrons: the foundations of neural networks.
Intermediate Machine Learning
Level up your machine learning skills with tuning methods, advanced models, and dimensionality reduction.
There are no reviews yet.