Become a Machine Learning Engineer

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
FOR MORE INFORMATION PLEASE OPEN THIS LINK  http://www.udacity.com/

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. 

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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
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  Machine Learning in Production

  
  

  Learn how to deploy machine learning models to a production environment using Amazon SageMaker.

  Deploy a Sentiment Analysis Model
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  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
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  Machine Learning Capstone

  
  

  In this capstone lesson, you’ll select a machine learning challenge and propose a possible solution.

  Capstone Proposal and Project
  FOR MORE INFORMATION PLEASE OPEN THIS LINK  http://www.udacity.com/