Georgia Tech - Artificial Intelligence

Artificial Intelligence
at
UDACITY
Overview

Offered at Georgia Tech as CS 6601

Artificial Intelligence

Table of content

More about this course

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

Thad Starner

Eligibility criteria Up Arrow Icon

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: Are you comfortable programming in Python, including IPython notebooks? If not, are you comfortable in learning a language within the first week of class? Have you taken several classes that required intensive programming? Have you taken algorithms and data structures courses? Are you prepared to spend at least 9 hours a week on this class?

Conditional Offer Up Arrow Icon