Question 1

Why should I enroll?

Accepted Answer

Businesses everywhere are mobilizing to create and implement the AI strategies that will transform industries in coming years, and they need engineers to do it. Data from LinkedIn indicates that AI specialists are among the most sought after roles that companies are looking for, with a 74 percent annual growth rate in hiring over the last four years. To stay in-demand at companies on the cutting edge of technology, engineers should prioritize developing their machine learning skill set.
The Machine Learning Engineer for Microsoft Azure Nanodegree Program, built in collaboration with Microsoft, offers you the chance to build the practitioner-level skills that companies across industries need. In the program, you’ll strengthen your machine learning skills by training, validating, and evaluating models using Azure Machine Learning, and complete a series of three real-world projects to add to your portfolio.

Question 2

What jobs will this program prepare me for?

Accepted Answer

Students in the 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 AI 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.

Question 3

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

Accepted Answer

The Machine Learning Engineer for Microsoft Azure Nanodegree program is geared towards people who are interested in building and deploying a machine learning product or application. The program is a good fit for...
Data scientists who are trying to expand their knowledge and application of ML techniques
Software Developers who want to add ML concepts and techniques into their toolkit, or use Microsoft Azure for ML model development
Other professionals who understand ML foundations but want to deepen their knowledge of and experience with practical applications of ML skills

Question 4

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

Accepted Answer

There is no application. This Nanodegree program accepts everyone, regardless of experience and specific background.

Question 5

What are the prerequisites for enrollment?

Accepted Answer

A well-prepared learner will meet the following prerequisites:
Experience with basic Python programming (e.g., ability to read and write simple Python scripts; understanding of introductory concepts like variables, loops, modules, conditionals, data types, and functions).
Some experience with fundamental statistics and algebra, including an understanding of data distributions (e.g., normal distribution) measures of central tendency and variability (e.g., mean and standard deviation) and basic linear equations.
Udacity also recommends basic familiarity with fundamental machine learning concepts (such as feature engineering and supervised vs. unsupervised learning) and classic machine learning algorithms (such as linear regression and k-means clustering).
An understanding of the basics of Azure and Docker/Container experience.
If you'd like to prepare for this Nanodegree program, check out our Introduction to Machine Learning and AI Programming with Python courses.

Question 6

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

Accepted Answer

To prepare, we recommend the Introduction to Machine Learning and AI Programming with Python programs, to build your comfortability with ML concepts and using python in an AI context.

Question 7

How is this Nanodegree program structured?

Accepted Answer

The Machine Learning Engineer for Microsoft Azure Nanodegree program is comprised of content and curriculum to support three (3) projects. We estimate that students can complete the program in three (3) months working 5-10 hours per week.
Each project will be reviewed by the Udacity reviewer network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.

Question 8

How long is this Nanodegree program?

Accepted Answer

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.

Question 9

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

Accepted Answer

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

Question 10

What software and versions will I need for this program?

Accepted Answer

For this program, you will need a desktop or laptop computer running recent versions of Windows, Mac OS X, or Linux, and an unmetered broadband Internet connection. There are no additional hardware or software requirements for this program, other than those outlined on Udacity's general Technology Requirements page.

Machine Learning Engineer for Microsoft Azure

Course Report

Course Features

Course Description

Highlights

Parameters

Course Content

Module 1: Using Azure Machine Learning

Module 2: Machine Learning Operations

Module 3: Capstone Project

Course FAQs