Artificial Intelligence

Candidates who are willing to seek Artificial Intelligence Programme admission process must check the below steps:

Step 1: Candidate need to first click on the official URL of the programme https://www.udacity.com/course/ai-artificial-intelligence-nanodegree--nd898

Step 2: You will see the ‘Enrol Now’ option. Simply click it. 

Step 3: You will then be directed on the bottom. There are 2 payment plans namely pay upfront and pay as you go. Select the desired one. 

Step 4: Then sign up via Google or Facebook ID to make the payment. 

Step 5: If you have a coupon code enter that and checkout or else directly proceed to checkout. 

Step 6: This will take you to the last step of the programme. You can now initiate the payment via a different payment gateway. Now once payment is done, the candidate will have complete rights for accessing the programme. 

In order to know about scholarship details for this programme, you need to log on to https://support.udacity.com/hc/en-us/categories/360002443511-Scholarship-Programs

After this under Notify me, you need to sign up and fill in your details and send it. Post that you will start getting notifications for scholarships that are also updated on the webpage for the respective programme. 

Artificial Intelligence Programme by Udacity has been conceptualized and framed by experts to give the learners a broad introduction to Artificial Intelligence and help them increase their capability as an Artificial Intelligence Engineer. The three months programme is designed for learners aspiring to pursue new opportunities in the world of Artificial Intelligence. It will develop the participant’s skills with Artificial Intelligence algorithms.

Major Artificial Intelligence certification benefits are its diverse content. It covers Introduction to Artificial Intelligence, Constraint satisfaction problems, Search, optimization, planning and Adversarial search. Participants will learn to write programmes using AI algorithms and become proficient in Random Hill Climbing and Beam Search, Hidden Markov Models and Bayes Network. Candidates can also get an access to Student Hub wherein they can do an interaction with fellow participants and discuss with them about the concepts that have been taught in session. In addition to this, candidates are also availed of interview services, career guidance, resume building services and technical mentor support.