Become a Machine Learning Engineer

PROGRAM OVERVIEW - WHY SHOULD I TAKE THIS PROGRAM?

• Why should I enroll?

  As more and more companies are looking to build machine learning products, there is a growing demand for engineers who are able to deploy machine learning models to global audiences. In this program, you’ll learn how to create an end-to-end machine learning product. You’ll deploy machine learning models to a production environment, such as a web application, and evaluate and update that model according to performance metrics. This program is designed to give you the advanced skills you need to become a machine learning engineer.

• What jobs will this program prepare me for?

  Students in the Machine Learning Engineer Nanodegree program will learn about machine learning algorithms and crucial deployment techniques, and will be equipped to fill roles at companies seeking machine learning engineers and specialists. These skills can also be applied in roles at companies that are looking for data scientists to introduce machine learning techniques into their organization.

• How do I know if this program is right for me?

  This program assumes that you are familiar with common supervised and unsupervised machine learning techniques. As such, it is geared towards people who are interested in building and deploying a machine learning product or application. Are you interested in deploying an application that is powered by machine learning? If so, then this program is right for you.

ENROLLMENT AND ADMISSION

• Do I need to apply? What are the admission criteria?

  No. This Nanodegree program accepts all applicants regardless of experience and specific background.

• What are the prerequisites for enrollment?

  Intermediate Python programming knowledge, including:
  

  • At least 40hrs of programming experience
  • Familiarity with data structures like dictionaries and lists
  • Experience with libraries like NumPy and pandas

  
  Intermediate knowledge of machine learning algorithms, including:
  

  • Supervised learning models, such as linear regression
  • Unsupervised models, such as k-means clustering
  • Deep learning models, such as neural networks

• If I do not meet the requirements to enroll, what should I do?

  To succeed in this program, you are expected to know foundational machine learning algorithms. If you’d like to learn more about common unsupervised and supervised techniques, it is suggested that you take the Intro to Machine Learning Nanodegree program.

• Do I have to take the Intro to Machine Learning Nanodegree program before enrolling in the Machine Learning Engineer Nanodegree program?

  No. Each program is independent of the other. If you are interested in machine learning, you should look at the prerequisites for each program to help you decide where you should start your journey to becoming a machine learning engineer.

TUITION AND TERM OF PROGRAM

• How is this Nanodegree program structured?

  The Machine Learning Engineer Nanodegree program is comprised of content and curriculum to support four (4) projects. We estimate that students can complete the program in three (3) months, working 10 hours per week.

• How long is this Nanodegree program?

  Access to this Nanodegree program runs for the length of time specified in the payment card above. If you do not graduate within that time period, you will continue learning with month to month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our Nanodegree programs.

• Can I switch my start date? Can I get a refund?

  Please see the Udacity Program Terms of Use and FAQs for policies on enrollment in our programs.

• I have graduated from the Machine Learning Engineer Nanodegree program, but I want to keep learning. Where should I go from here?

  Many of our graduates continue on to our Artificial Intelligence and Self-Driving Car Engineer Nanodegree programs.

SOFTWARE AND HARDWARE - WHAT DO I NEED FOR THIS PROGRAM?

• What software and versions will I need in this program?

  You will need a computer running a 64-bit operating system with at least 8GB of RAM, along with administrator account permissions sufficient to install programs including Anaconda with Python 3.x and supporting packages.
  Most modern Windows, OS X, and Linux laptops or desktop will work well; we do not recommend a tablet since they typically have less computing power. We will provide you with instructions to install the required software packages.