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.
