Deep Learning Market is expected to grow at the CAGR of 52.1% till 2025
Demand for AI, DL and ML specialists in the country are expected to see a 60% rise by 2018 due to increasing adoption of automation
Udacity ranked as the most disruptive learning company in the world for 2 years in a row by CNBC
Join a global community of over 50,000 Deep Learning Engineers who have learned with Udacity
What You Learn
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In this term, you’ll build and apply your own deep neural networks to produce amazing solutions to important challenges.
Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.
Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal.
Alexis is an applied mathematician with a Masters in computer science from Brown University and a Masters in applied mathematics from the University of Michigan. She was formerly a National Science Foundation Graduate Research Fellow.
Ortal Arel is a former computer engineering professor. She holds a Ph.D. in Computer Engineering from the University of Tennessee. Her doctoral research work was in the area of applied cryptography.
Arpan is a computer scientist with a PhD from North Carolina State University. He teaches at Georgia Tech (within the Masters in Computer Science program), and is a coauthor of the book Practical Graph Mining with R.
Had wonderful experience with interesting set of projects to work on! This program has helped to understand the fundamentals and as well to work on amazing projects with great feedback anf insights from the project reviewers.
This is awesome. I really learned and enjoyed a lot. The topic a covered very nicely and made it easy to follow. I really don't have any doubt regarding joining to course and it really gave me an all-round knowledge of the field. Now I am heading towards more advanced area.
This course is far the best and strongest concept and practical vision about deep learning on the internet.
It was a great experience. All the topics have been taught in details along with mini project implementations of the topics. The assignment projects at the end of each module has boast my confidence.
Nanodegree certification recognized and valued by top companies in India
Access to a hiring partner network of over 100 companies & Udacity Propel - our flagship career fairLearn more
A small incentive for you to come back and continue your learning with another Nanodegree program
Deep Learning has 1000+ jobs posted on Naukri.com in a month
Deep Learning Engineers earns an average salary in the range of INR 6-20 Lakhs In India
Deep Learning engineers empower technologies like Self Driving Car, Computer Vision and many others
FREQUENTLY ASKED QUESTIONS
The Deep Learning Nanodegree program is comprised of one (1) Term of four (4) months. A Term has fixed start and end dates.
To graduate, students must successfully complete four (4) projects, each of which affords you the opportunity to apply and demonstrate new skills that you learn in the lessons. 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.
The full Nanodegree program consists of one (1) four (4)-month long term at a cost of INR 49900 in total program costs.
Payment is due before the term begins.