NEW!
NANODEGREE PROGRAM

Become a Machine Learning Engineer for Microsoft Azure

Strengthen your machine learning skills and build practical experience by training, validating, and evaluating models using Azure Machine Learning.
Enroll Now
  • Estimated Time
    3 Months

    At 5-10 hrs/week

  • Enroll by
     

    Get access to classroom immediately on enrollment

  • Prerequisites
    Prior experience with Python, Machine Learning, and Statistics

    See prerequisites in detail

In Collaboration With

  • Microsoft

What You Will Learn

Syllabus

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.

In this program, students will enhance their skills by building and deploying sophisticated Machine Learning (ML) solutions using popular open source tools and frameworks and gain practical experience by using the built-in Azure labs accessible inside the Udacity classroom to run complex machine learning tasks for no additional cost.

Hide details

3 months to complete

Prerequisite Knowledge

Prior experience with Python, Machine Learning, and StatisticsSee detailed requirements.

  • Using Azure Machine Learning

    Machine learning is a critical business operation for many organizations. Learn how to configure machine learning pipelines in Azure, identify use cases for Automated Machine Learning, and use the Azure ML SDK to design, create, and manage machine learning pipelines in Azure.

    Optimizing an ML Pipeline In Azure
  • Machine Learning Operations

    This course covers a lot of the key concepts of operationalizing machine learning, from selecting the appropriate targets for deploying models, to enabling Application Insights, identifying problems in logs, and harnessing the power of Azure’s Pipelines. All these concepts are part of core DevOps pillars that will allow you to demonstrate solid skills for shipping machine learning models into production.

    Operationalizing Machine Learning
  • Capstone Project

    The program capstone gives you the opportunity to use the knowledge you have obtained from this Nanodegree program to solve an interesting problem. You will have to use Azure’s Automated ML and HyperDrive to solve a task. Finally, you will have to deploy the model as a webservice and test the model endpoint.

    Training and Deploying a Machine Learning Model in Azure

All Our Programs Include

Real-world projects from industry experts

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

Technical mentor support

Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you and keeping you on track.
Personal career coach and career services

Personal career coach and career services

You’ll have access to career coaching sessions, interview prep advice, and resume and online professional profile reviews to help you grow in your career.
Flexible learning program

Flexible learning program

Get a custom learning plan tailored to fit your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.
Program OfferingsFull list of offerings included:
Enrollment includes:
Class Content
Real-world projects
icon-checkmarkCheckmark
Project reviews
icon-checkmarkCheckmark
Project feedback from experienced reviewers
icon-checkmarkCheckmark
Student Services
Technical mentor support
New
icon-checkmarkCheckmark
Student community
Improved
icon-checkmarkCheckmark
Career services
Personal career coaching
New
icon-checkmarkCheckmark
Interview preparations
icon-checkmarkCheckmark
Resume services
icon-checkmarkCheckmark
Github review
icon-checkmarkCheckmark
LinkedIn profile review
icon-checkmarkCheckmark
Succeed with Personalized Services
We provide services customized for your needs at every step of your learning journey to ensure your success!
Experienced Project Reviewers
Project Reviewers
Technical Mentor Support
Technical Mentor Support
Personal Career Coach
Career Coaching
Get personalized feedback on your projects
Reviews By the numbers
2000+ project reviewers
1.8M projects reviewed
4.85/5 reviewer ratings
3 hour avg project review turnaround time
Reviewer Services
  • Personalized feedback
  • Unlimited submissions and feedback loops
  • Practical tips and industry best practices
  • Additional suggested resources to improve
Get started with

Machine Learning Engineer for Microsoft Azure

icon-book-blue-2
Learn
Strengthen your machine learning skills and gain practical experience by training, validating, and evaluating machine learning models for Microsoft Azure.
Icon - Clock -Blue
Average Time
On average, successful students take null months to complete this program.
Icon - Project - Blue
Benefits include
  • Real-world projects from industry experts
  • Technical mentor support
  • Personal career coach & career services

15% OFF

null months access
  per month

Start learning today! Switch to the monthly price afterwards if more time is needed.

Pay as you go
 per month

Start Learning Today! Get maximum flexibility to learn at your own pace.

Frequently Asked Questions

PROGRAM OVERVIEW - WHY SHOULD I TAKE THIS PROGRAM?
  • Why should I enroll?
    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.
  • What jobs will this program prepare me for?
    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.
  • How do I know if this program is right for me?
    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
Enrollment and Admission
  • Do I need to apply? What are the admission criteria?
    There is no application. This Nanodegree program accepts everyone, regardless of experience and specific background.
  • What are the prerequisites for enrollment?
    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.
  • If I do not meet the requirements to enroll, what should I do?
    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.
Tuition and Term of Program
  • How is this Nanodegree program structured?
    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.
  • 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.
What software and versions will I need for this program?
  • What software and versions will I need for this program?
    For this Nanodegree 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.