Artificial Intelligence

Learn about the fundamentals of Artificial Intelligence in this introductory graduate-level course. It provides a survey of various topics in the field along with in-depth discussion of foundational concepts such as classical search, probability, machine learning, logic and planning.

Prerequisites and Requirements: Undergraduate computer algorithm and data structures courses that cover O notation, time and space constraints; working knowledge of college level mathematics such as calculus, probability, and linear algebra. You will also need to be familiar with Python and be comfortable making modifications to large programs.Please review the following questions, if you answer “no” to any of them you may want to refresh your knowledge or practice the required skills prior to taking the class: See the for using Udacity.