Become a Machine Learning Engineer

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Become a Machine Learning Engineer provided by Udacity is a comprehensive online course, which lasts for 13 weeks long, 10 hours a week. Become a Machine Learning Engineer is 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.. Upon completion of the course, you can receive an e-certificate from Udacity. The course is taught in Englishand is Paid Course. Visit the course page at Udacity for detailed price information.

Overview
  • Learn foundational machine learning skills in the Intro to Machine Learning Nanodegree program and learn how to apply these skills to a variety of tasks. In the Machine Learning Engineer Nanodegree program, learn how to create a machine learning product and deploy machine learning models to a production environment, such as a web application.
    In this program you will master Supervised, Unsupervised, and Deep Learning fundamentals. You will also complete a capstone project in your chosen domain.

Syllabus
    • 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.
    • Machine Learning in Production
      • Learn how to deploy machine learning models to a production environment using Amazon SageMaker.
    • 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.
    • Machine Learning Capstone
      • In this capstone lesson, you’ll select a machine learning challenge and propose a possible solution.