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Udacity

Machine Learning Engineer Nanodegree

Kaggle , Amazon Web Services and Amazon via Udacity Nanodegree

Overview

Become a machine learning engineer and apply predictive models to massive data sets in fields like education, finance, healthcare or robotics.

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.

  • 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.

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