Nanodegree Program

Machine Learning Engineer Nanodegree Program

Make Predictive Models

Basics: Concepts of Supervised Learning and Unsupervised Learning
Advanced: Concepts of Reinforcement Learning and Deep Learning


7 days refund, no questions asked

In Collaboration with
  • kaggle

Why Take The Machine Learning Engineer Program?

Are you fascinated by how Netflix recommends the movies you’ll like or Spotify renders Discover Weekly? Have you wondered what is the Google algorithm that shows you such accurate search results?
Machine Learning is behind these innovations.It represents a key evolution in the fields of computer science, data analysis, software engineering, and artificial intelligence. Since 2014, there has been a 200% Y-o-Y increase in “Data Scientist” job searches and a 50% Y-o-Y increase in job listings.
This Nanodegree program will teach you how to apply predictive models to massive data sets in fields like finance, healthcare, education, and more.

Why Take The Machine Learning Engineer Program?

USD 2 Tn: Global Machine Learning Opportunity

1000+ jobopportunities created
80+ Hiring partnersonboard
40 lac+ Highestannual CTC offered

Learn with the best

Arpan Chakraborty
Arpan Chakraborty

Course Developer

Arpan likes to find computing solutions to everyday problems. He is interested in human-computer interaction, robotics and cognitive science. He obtained his PhD from North Carolina State University, focusing on biologically-inspired computer vision. At Udacity, he spends a good chunk of time designing interactive exercises for his courses, besides working on pet projects to improve or automate workflow.

David Joyner
David Joyner

Course Developer

David Joyner completed his Ph.D. in Human-Centered Computing at Georgia Tech specializing in delivering automated feedback and assessment to students in exploratory learning environments. He joined Udacity to develop exercises, projects, and (one day!) entire courses that adapt to the learner's ability and progress.

Luis Serrano
Luis Serrano

Course Developer

With a PhD in Mathematics from the University of Michigan, Luis has worked as a mathematical researcher and university professor and as a Machine Learning engineer at Google, where he applied predictive algorithms to generate recommendations for YouTube

Sebastian Thrun
Sebastian Thrun


Scientist, educator, inventor, and entrepreneur, Sebastian led the self driving car project @ Google X and founded Udacity, whose mission is to democratize education by providing lifelong, on-demand learning to millions of students around the world.

Vincent Vanhoucke
Vincent Vanhoucke


Vincent Vanhoucke is a Principal Research Scientist at Google, working with the Google Brain team on deep learning research and infrastructure. He completed his Ph.D. at Stanford University on speech recognition, and now focusses his research on image and video understanding as well as mobile and robotic perception.

Katie Malone
Katie Malone


An experimental physicist by training, Katie first got interested in machine learning by using it to search for new particles like the Higgs boson. Since nobody should need a PhD in physics to play around with machine learning, though, she leapt at the chance to teach others about using data analysis to solve interesting problems. When not discovering new particles or teaching, she’s usually trail running or bribing her deskmate’s dog with treats.

What You Will Learn


Machine Learning Basics

Advance your Machine Learning journey and start learning some concepts and techniques that are core to Machine Learning. You will learn supervised learning and unsupervised learning and how one is different from the other.

See details

2 months to complete


Machine Learning Advanced

You will learn the more advanced concepts of Machine Learning. You will learn all about Reinforcement learning, where the machine or software agent learns from its experiences in the past. You will then get introduced to the basics of Deep Learning. Finally you will recognize a real world problem and apply all that you have learned about Machine Learning to solve the problem.

See details

4 months to complete

Start Learning

Start Learning

7 days refund; no questions asked
Admission Closes: 21st Feb
Total Seats: 150
Time to Complete: 2 months
Prerequisite: Python programming, intermediate calculus and linear algebra.


Start Learning

7 days refund; no questions asked
Admission Closes: 21st Feb
Total Seats: 100
Time to Complete: 4 months
Prerequisite: Basic concepts of Machine Learning: Regression, Supervised and Unsupervised Learning

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Payment Options

We support multiple payment options for your convenience. Choose an option that suits you the most

Credit/Debit Card

Accepting payments through Credit/Debit cards from all major banks.

EMI on Credit Card

Split the payment of the course fee across 3 or more months. Option is available for all plans. Instalment information available on the payment page.

Internet Banking
Internet Banking

Seamless payment though Internet banking accepting payments from over 59 banks.


    About the course
  • Why do I enroll into Machine Learning Nanodegree?
    Udacity's Machine Learning Basic Nanodegree helps you build your first Machine Learning model. The program covers basic concepts of supervised and unsupervised learning, which is core to Machine Learning. Intermediate programming/python knowledge required. Udacity's Machine Learning Advanced Nanodegree helps you build your first Machine Learning model. The program covers basic concepts of reinforcement learning and some parts of deep learning. Intermediate programming/python and knowledge of Supervised & Unsupervised Learning is required.
  • What are the prerequisites required for this Nanodegree?
    Machine Learning Basic Nanodegree: You should have working knowledge of intermediate python, statistics, calculus and Algebra.
    Machine Learning Advance Nanodegree: You should have knowledge of Supervised Learning, Unsupervised Learning and Regression.
  • How long do I have to complete this Nanodegree?
    The Machine Learning Nanodegree is divided in 2 parts - Machine Learning Basic is a two months course and Machine Learning Advance is a four months course, which needs to be completed in the given time period. The time period will be calculated from the date you get access to your classroom.
  • How can i enroll in GetHired Campaign?
    You can apply in the GetHired campaign through link. If you enroll in the Nanodegree through this page, only then you will be eligible for GetHired campaign. If you enroll directly from the Nanodegree page, then you would not be eligible for GetHired campaign.
  • Do you offer the opportunity for students to pause their studies for this program?
    No. The fixed-term nature of this Nanodegree, and the need for maintaining a consistent and stable student body throughout doesn't allow for offering the option to pause your studies.
  • Is this program self-paced?
    No. The start and end dates of this Nanodegree are fixed, and you must complete all assigned projects by the end dates. However, projects may be submitted at any time during the Nanodegree, and individual project deadlines are recommendations, not requirements. So within three months, there is some opportunity to work at your own pace. You should plan to follow our recommended timeline, as this will best enable you to keep pace with your peers, and complete the program on time.
  • What are my options if I don't complete this Nanodegree by the deadline?
    You will have 4 weeks extension to submit any outstanding projects. There is no extension provided post that.
  • What kind of weekly time commitment should I expect?
    On average, we find students spending 10-12 hours per week throughout the entire Nanodegree, to complete this program on time. This is an average so that some students may require more than the allotted time frame, or less.
  • Are deferments an option if I'm enrolled, but not ready to start yet?
    No, deferments are not an option. We ask that you please make sure to only enroll for this Nanodegree if you are able to commit to the entire time frame.
  • What happens to my access to the content if I am unable to graduate within the term duration?
    Access to the content is locked if the student is unable to complete all their projects and graduate within the given term duration. This motivates the students to stay on track and finish the Nanodegree on time.
  • Do I lose access to this Nanodegree once I graduate?
    No, you will not lose access to the content of this Nanodegree once you graduate. Your access will be there for the lifetime.
  • Does this Nanodegree provide Mentorship?
    Yes, you will be provided mentors to guide you throughout the Nanodegree.
  • Does this Nanodegree offer any trial period?
    No, this Nanodegree does not contain any free day trial period. We do have seven days no questions asked refund policy. You can pay for your Nanodegree and ask for a refund within seven days from the date you get access to your classroom.
  • Do you provide Scholarship for this Nanodegree?
    No, Currently there is no scholarship available for this Nanodegree. We will let you know when we come up with a scholarship for this Nanodegree. For more information on scholarships, please write to
    Career Services
  • What jobs will this program prepare me for?
    You do not become job ready on completion of Machine Learning Basic Nanodegree . You are required to complete Machine Learning Advance Nanodegree to become Industry and Job Ready.
  • What career services we provide?
    Udacity India provides hiring opportunities to all its Nanodegree Graduates. We have a job group dedicated to our Nanodegree Graduates where we post all the open positions from our hiring partners. We get our Nanodegree Graduates in touch with our hiring partners where the company reviews the profile of the students and takes the process further by providing them interviews.
    Please note that Udacity India does not guarantee a job.
    Student Support
  • What is the kind of student support I will get during this program?
    Students were having queries regarding course material or the projects can be solved by various support services provided by Udacity such as:
    Project Reviews: The Project reviews provide deep analysis of a student's code and project. Reviewers are trained professionals that provide feedback on coding styles, industry guidelines, optimization of the code and reference links for improving the project.
    Mentorship: Mentors are appointed to students that have one on one chats with them. They keep track of the progress in the course, Help them in time management and keep them motivated throughout the course.
  • How can I get in touch with Udacity for any support?
    Please write to for faster response
    Payments & Refunds
  • Do we get 50% refund for this Nanodegree?
    No, We do not offer 50% refund on completing of this Nanodegree.
  • Does this Nanodegree follow seven days No Questions Asked refund policy?
    Yes, this Nanodegree follows seven days no questions asked refund policy.
  • If the refund is provided for this Nanodegree, How much time does the refund process take?
    The refund process takes up to 2-3 weeks of time. The amount will be refunded back to the original model of payment. If you would like to get the refund in a different bank account, please mention the same to while requesting for a refund.
  • How do I get my invoice?
    Please write to, It can take maximum upto 7 days for us to issue your invoice.
  • What if I do not receive my refund in 15-20 days?
    If you do not receive your refund within 15-20 days, please reach out to

Machine Learning Engineer Nanodegree Program

Make Predictive Models

Need help with Nanodegree Enrollment?1800-121-6240
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