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Artificial Intelligence

Professor Eitan Grinspun, Professor Ansaf Salleb-Aouissi, Professor Matei Ciocarlie, Professor John W. Paisley, Dan Koditschek, Sanjoy Dasgupta, Ansaf Salleb-Aouissi, John W. Paisley, Matei Ciocarlie, and Eitan Grinspun

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.

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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.

What you'll learn

  • Solid understanding of the guiding principles of AI.
  • Apply concepts of machine learning to real life problems and applications.
  • Design and harness the power of Neural Networks.
  • Broad applications of AI in fields of robotics, vision and physical simulation.

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What's inside

One course

Machine Learning Fundamentals

(90 hours)
Do you want to build systems that learn from experience? Or exploit data to create simple predictive models of the world? This course will teach you a variety of supervised and unsupervised learning algorithms, and the theory behind those algorithms.

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