Udacity: Machine Learning Engineer For Microsoft Azure

In this program, students will enhance their skills by building and deploying sophisticated machine learning solutions using popular open source tools and frameworks, and gain practical experience running complex machine learning tasks using the built-in Azure labs accessible inside the Udacity classroom.

SKU: UdacityMachineLearningEngineerforMicrosoftAzure Categories: , Tags: ,

Additional information

Course Page


Program Length

3 Months At 5-10 hrs/week


Noah Gift, Alfredo Deza, Erick Galinkin, Soham Chatterjee

Cohort-Based Course?


Course Features

-Real-world projects from industry experts With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want. -Technical mentor support Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you and keeping you on track. -Career services You’ll have access to Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role. -Flexible learning program Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.

Program Format



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.

Who is this course for?

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


$399 per month

Financing Options

1. Learn now, pay later with affirm 2. Buy with payments as low as $113 per month at 0% APR 3. Pay monthly using bank, check or debit card.

Refund Policy

You can cancel and unenroll within the first 2 days from your first month’s subscription purchase date in order to be eligible for a full refund. Unless you have graduated from the Nanodegree program, single paid course, or Executive Program within this timeframe. Only one refund may be granted per student per Nanodegree program, single paid course, or Executive Program. If you cancel your subscription and subsequently re-enroll for the same program or course, you will not be entitled to an additional 2-day refund period. You may cancel your subscription at any time after this 2-day refund period and you will not be charged again after the billing period in which you cancelled. You will remain actively enrolled in the program until the end of this billing period.


There are no reviews yet.

Be the first to review “Udacity: Machine Learning Engineer For Microsoft Azure”

Your email address will not be published. Required fields are marked *