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Columbia University

Artificial Intelligence

Columbia University via edX MicroMasters


Gain expertise in one of the most fascinating and fastest growing areas of computer science through an innovative online program that covers fascinating and compelling topics in the field of Artificial Intelligence and its applications. This MicroMasters program from Columbia University will give you a rigorous, advanced, professional, graduate-level foundation in Artificial Intelligence. The program represents 25% of the coursework toward a Master's degree in Computer Science at Columbia.

These courses are instructional-led and each course has 10-12 weeks of lecture plus an additional final exam week. If you are interested in completing the full MicroMasters program on edX, there is no time limit in which you must complete all the courses in the program. Currently, the courses are offered twice a year, in the spring and fall term.

For those who are interested in applying for an M.S. degree at Columbia University, you must complete this MicroMasters program within 2 years of the start date of the first course in order to include MicroMasters certificate in your application package. For example, if you aim to apply for 2021 Fall M.S. program, you have to earn the MicroMasters Program certificate by 2021 February admission deadline.


Courses under this program:
Course 1: Artificial Intelligence (AI)

Learn the fundamentals of Artificial Intelligence (AI), and apply them. Design intelligent agents to solve real-world problems including, search, games, machine learning, logic, and constraint satisfaction problems.

Course 2: Machine Learning

Master the essentials of machine learning and algorithms to help improve learning from data without human intervention.

Course 3: Robotics

Learn the core techniques for representing robots that perform physical tasks in the real world.

Course 4: Animation and CGI Motion

Learn the science behind movie animation from the Director of Columbia’s Computer Graphics Group.


Taught by

Ansaf Salleb-Aouissi, John W. Paisley, Matei Ciocarlie and Eitan Grinspun


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