Become a machine learning engineer and apply predictive models to massive data sets in fields like education, finance, healthcare or robotics.
Overview
Syllabus
Prerequisite Knowledge
To optimize your chances of success in this program, we recommend intermediate Python programming knowledge and intermediate knowledge of machine learning algorithms.See detailed requirements.
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Software Engineering Fundamentals
In this lesson, you’ll write production-level code and practice object-oriented programming, which you can integrate into machine learning projects.
Build a Python Package -
Machine Learning in Production
Learn how to deploy machine learning models to a production environment using Amazon SageMaker.
Deploy a Sentiment Analysis Model -
Machine Learning Case Studies
Apply machine learning techniques to solve real-world tasks; explore data and deploy both built-in and custom-made Amazon SageMaker models.
Plagiarism Detector -
Machine Learning Capstone
In this capstone lesson, you’ll select a machine learning challenge and propose a possible solution.
Capstone Proposal and Project
Taught by
Cezanne Camacho, Mat Leonard, Luis Serrano, Dan Romuald Mbanga, Jennifer Staab, Sean Carrell, Josh Bernhard , Jay Alammar, Andrew Paster, Chieko N., Mauricio B., Manuel F., Parag A., Bhavani C. and Nuttapong W.
