Machine Learning Foundation
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Machine learning is taking over the world - it is benefiting companies across industries. It is helping organisations create systems that can understand, learn, predict, adapt and operate on their own. Thus, understanding how machine learning works is one of the most valuable and useful things you can do.
Whether you’re launching a career, advancing a career, or just excited to learn a new skill, there is no time like the present to start learning, and this program offers everything you need to get up to speed—with no prior programming skills required.
Get started with programming through interactive content like quizzes, videos, and hands-on projects. Our learn-by-doing approach is the most effective way to learn to code.
Advance quickly and successfully through the curriculum with the support of expert reviewers whose detailed feedback will ensure you master all the right skills.
Draw inspiration and knowledge from dedicated slack forums. Stay on track with mentors who will help in case of any doubts or when you are stuck with projects.
Learn the skills needed to enroll in a career-track Nanodegree program, then try them out on a real project from one of those programs—you’ll get credit for it when you enroll!
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 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.
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
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 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.
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.
7 days refund; no questions asked
Total Seats: 100
Time to Complete: 3 months
Prerequisite: Prior programming experience is not required.
Offer: Get ₹4000 credit on completion of the Machine Learning Foundation Nanodegree. Use the credit for a new enrollment in any other Nanodegree
Admissions Closes: 30 April
* Price exclusive of taxes. GST of 18% gets applied on checkout. Option to convert your payment into EMI available on checkout page.
All the above payment plans include the costs of Unlimited project reviews (by Udacity's global reviewer network), in-classroom mentorship support through chat with industry experts and Access to global community of Udacity students pursuing the same Nanodegree.
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Accepting payments through Credit/Debit cards from all major banks.
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.
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