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Columbia University Micromasters Program In Artificial Intelligence

Design the future

Aadhithya by Aadhithya
November 14, 2020 - Updated On December 5, 2024
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Columbia University Micromasters Program In Artificial Intelligence
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Columbia University MicroMasters Program in Artificial Intelligence 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.

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.

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.

  • 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.

Courses in Columbia University MicroMasters MicroMasters Program in Artificial Intelligence

  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.
  2. Machine Learning:- Master the essentials of machine learning and algorithms to help improve learning from data without human intervention.
  3. Robotics:-We think of Robotics as the science of building devices that physically interact with their environment. The most useful robots do it precisely, powerfully, repeatedly, tirelessly, fast, or some combinations of these. The most interesting robots maybe even do it intelligently. This course will cover the fundamentals of robotics, focusing on both the mind and the body.

    We will learn about two core robot classes: kinematic chains (robot arms) and mobile bases. For both robot types, we will introduce methods to reason about 3-dimensional space and relationships between coordinate frames. For robot arms, we will use these to model the task of delivering a payload to a specified location. For mobile robots, we will introduce concepts for autonomous navigation in the presence of obstacles.

    Class projects will make use of ROS – the open-source Robot Operating System (www.ros.org) widely used in both research and industry. Computer requirements for working on the projects will include a computer set up with Ubuntu Linux and high bandwidth internet access for downloading and installing ROS packages.

  4. Animation and CGI Motion:- Learn the science behind movie animation from the Director of Columbia’s Computer Graphics Group.

Certifiate & credit pathway for Columbia University MicroMasters MicroMasters Program in Artificial Intelligence

MicroMasters Program in AI is designed to offer learners a pathway to an advanced degree and can count as credit toward completing a Master’s degree program. Learners who successfully earn this MicroMasters program certificate may apply for admission to a Master’s program, and if accepted, the MicroMasters program certificate will count towards the degree.

Learners who successfully earn the MicroMasters program in AIcertificate are eligible to apply to the Master of Computer Science program at Columbia University. If a learner applies to the Master of Computer Science program at Columbia University and is accepted, the MicroMasters program certificate will count toward 7.5 of the 30 credits required for graduation from the on-campus or online Master of Computer Science program.

Job outlook:-

  • Though Artificial Intelligence is one of the fastest-growing areas for high-tech professionals, there are too few qualified engineers, according to a recent Kiplinger report.
  • Robotics and artificial intelligence will impact wide segments of daily life by 2025, with huge implications for a range of industries such as health care, transport and logistics, customer service, and home maintenance. (Pew Internet)
  • The need for AI specialists exists in just about every field as companies seek to give computers the ability to think, learn, and adapt. (IEEE)
  • Exciting and rewarding career opportunities as a Machine Learning Software Engineer, Deep Learning Specialist, Data Scientist, Automation Engineer, 3D Artist, Computer Vision Engineer, and many more!

Duration:- 1 year 8 – 10 hours per week

Cost:- $996

Take this course

Tags: Columbia University MicroMastersMicroMasters Program in AIMicroMasters Program in Artificial Intelligence
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Aadhithya

Aadhithya

Serial inventor & innovator with an exemplary track record for problem solving with a diverse skill set. Won 50+ Global innovation awards with innovative technical solutions till date. Currently working on inspiring the next generation of innovators by making innovation opportunities and challenges accessible to people across the world as founder of Givemechallenge.com

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