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Learn advanced machine learning techniques and algorithms — including how to package and deploy your models to a production environment.
Estimated Time – 3 months / At 10 hrs/week
Enroll by -January 14, 2020 /Get access to classroom immediately on enrollment
Prerequisites /Intermediate Python & Machine Learning Algorithms
See prerequisites in detail
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Machine Learning Engineer
Learn advanced machine learning techniques and algorithms and how to package and deploy your models to a production environment. Gain practical experience using Amazon SageMaker to deploy trained models to a web application and evaluate the performance of your models. A/B test models and learn how to update the models as you gather more data, an important skill in industry.
This program is intended for students who already have knowledge of machine learning algorithms.
Software Engineering FundamentalsIn 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 ProductionLearn how to deploy machine learning models to a production environment using Amazon SageMaker.
Become a Machine Learning Engineer
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