Home Tech & Coding Tech & Coding Amazon SageMaker
Amazon SageMaker: Simplifying Machine Learning Application Development

Amazon SageMaker: Simplifying Machine Learning Application Development

Learn to integrate Machine Learning into your apps with training from AWS experts--and without a data science background.
Video Beginner Advanced
UPVOTE 0
SAVE THIS COURSE
Course Website
www.edx.org
Share this page
Gallery
Description
Machine learning is one of the fastest growing areas in technology and a highly sought after skillset in today’s job market.

This course will teach you, an application developer, how to use Amazon SageMaker to simplify the integration of Machine Learning into your applications. Key topics include: an overview of Machine Learning and problems it can help solve, using a Jupyter Notebook to train a model based on SageMaker’s built-in algorithms and, using SageMaker to publish the validated model. You will finish the class by building a serverless application that integrates with the SageMaker published endpoint.

Learn from AWS Training and Certification expert instructors through lectures, demonstrations, discussions and hands-on exercises* as we explore this complex topic from the lens of the application developer.

*Note that there may be a cost associated with some exercises. If you do not wish to incur additional expenses, you may view demonstrations instead.

Pricing:
Free
Level:
Intermediate
Duration:
4 weeks, 2h-4h/week
Educator:
Russell Sayers
Organization:
Amazon Web Services
Submitted by:
Coursearena
Reviews
Would you recomment this course to a friend?
Discussion
There are no comments yet. Please sign in to start the discussion.