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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.

Help Center

Most commonly asked questions about Udacity

Reviews for Udacity's Become a Machine Learning Engineer Based on 6 reviews

  • 5 stars 67%
  • 4 stars 33%
  • 3 star 0%
  • 2 star 0%
  • 1 star 0%

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  • 1
David C
David this course, spending 15 hours a week on it.
Good course for Machine Learning introduction

A complete, although somewhat superficial, course on machine learning fundamentals. It covers Supervised, Unsupervised and Reinforcement Learning. Now recently it also added Deep Learning. So it has all the fundamentals. The course content is goodl altough it could be better harmonized, because sometimes it feels (and it is) content from various courses all glued together, with hard transitions between content. All in all, it's a good degree.
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Anonymous
Anonymous this course.
Thank you Udacity

This was great experience and a lot of learning! Given constant support and follow up on project reviews along the course I felt sort of liability to perform well and excitement from learning my favorite subject. Consequtive topics selection and interesting midterm projects made it captivating! I mastered new techniques, got answers on my questions and leveled up with this course.
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Parag A
Parag this course, spending 8 hours a week on it.
Good all round support for students

ML Engineer - The course material is quite good with not too much focus on the mathematics. The project work helps one apply what was learned. Completing these projects increases the students confidence in being able to tackle new projects. The reviewers provide quick feedback with additional links that can help one improve their deliverable even further.
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Jouni H
by Jouni this course, spending 8 hours a week on it.
Good start for a machine learning course

Quality of the teaching videos is high and dialogue enjoyable. The project works are challenging and still developing as the course is new. The reviewers are professional and guide your work nicely. Some projects require a lot of work and maybe some improvement on the instructions. All in all I was very happy with this Nanodegree.
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Chandramohan N
Chandramohan this course, spending 10 hours a week on it.
Content and Project Quality

I liked the projects ,and except for the content presentation for Reinforcement Learning most was presented extremely well and easily consumable. RL was slightly complicated to understand , and also I would have liked better mentor support on the Quad project.
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Anonymous
Anonymous this course, spending 30 hours a week on it.
Perfect place to learn

In my practice-based opinion, Udacity is a perfect place to learn. They cover everything in great detail and in the simplest form possible. Perfect bang for the buck. :D
Was this review helpful to you? Yes
  • 1

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