AI technogies will significantly grow with a compound annual growth rate (CAGR) of 56.8%.
The number of jobs in artificial intelligence may see a jump of 50-60%, as per NITI Aayog.
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
Enrollment Closing on
In this term, you’ll learn essential Artificial Intelligence concepts like search, optimization, planning, pattern recognition, and more.
Research Director, Google
Peter Norvig is a Director of Research at Google and is co-author of Artificial Intelligence: A Modern Approach, the leading textbook in the field.
Sebastian Thrun is a scientist, educator, inventor, and entrepreneur. Prior to founding Udacity, he launched Google’s self-driving car project.
Professor of Computer Science, Georgia Tech
Thad Starner is the director of the Contextual Computing Group (CCG) at Georgia Tech and is also the longest-serving Technical Lead/Manager on Google's Glass project.
The program was great, but it would be better for me if more advanced lectures were provided. I love the way that the projects were going, which helped me a lot!
EPIC!. I have learnt so many things along the way. Most importantly, How to deal with python dictionaries :P (They are everywhere!). Thanks for this experience!
This has been fantastic experience, I get to learn more about AI and AI algorithms and continue to build application on this platform.
Difficult but worth taking!
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
India would see a 60% rise in the demand for AI and ML professionals by 2018.
Artificial Intelligrence Engineers earns an average salary in the range of 15-25 Lakhs In India
According to Indeed, employers demand for AI talents has more than doubled over the past three years
FREQUENTLY ASKED QUESTIONS
You must have completed a course in Deep Learning equivalent to the Deep Learning Nanodegree program prior to entering the program. You will need to be able to communicate fluently and professionally in written and spoken English. Additionally, you should have the following knowledge:
Intermediate Python programming knowledge, including:
Basic shell scripting:
Basic statistical knowledge, including:
Intermediate differential calculus and linear algebra, including:
Additionally, you should be able to follow and interpret pseudocode for algorithms like the example below, and implement them in Python. You should also be able to informally evaluate the time or space complexity of an algorithm. For example, you should be able to explain that a for loop that does constant O(1) work on each iteration over an array of length n has a complexity of O(n).
function Hill-Climbing(problem) returns a State
current <- Make-Node(problem.Initial-State)
neighbor <- a highest-valued successor of current
if neighbor.value ≤ current.value then return current.state
current <- neighbor
The Artificial Intelligence Nanodegree program is comprised of one (1) three (3)- month Term. The Terms have 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.
Please see the Udacity Nanodegree program FAQs found here for policies on enrollment in our programs.