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Microcredential

Become a Machine Learning Engineer

Kaggle , Amazon and Amazon Web Services via Udacity Nanodegree

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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

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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