6 courses and
1 bridge course
Accelerate Your Career in the Fast-Paced Field of AI
The online Columbia Artificial Intelligence (AI) program is designed for professionals and leaders with technical experience who are seeking non-credit executive education to advance their skills. The program empowers you to gain a deeper understanding of the mechanics of AI, laying the foundation for innovation and advancement.
Depending on your schedule, you can complete the program in 9 to 18 months while continuing to work.
The Fu Foundation School of Engineering and Applied Science (Columbia Engineering) attracts some of the greatest scientific and technical minds from around the world. Taught by leading researchers and authorities in machine learning, natural language processing, robotics, deep learning, and organizational strategy, the online Columbia AI program enables you to develop your skills, with the confidence that you’re learning from experts.
Organizations around the world are applying AI insights to their business models to stay competitive. According to LinkedIn’s 2020 report, Artificial Intelligence and scientific computing were two of the top 10 hard skills that companies needed most in 2020.²
In the online AI program from Columbia Engineering, you will learn how to recognize natural language processing, build neural networks, lead machine learning projects, and design a road map for integrating AI into your organization.
As a learner in the program, you will:
To be considered for admission, applicants must have a bachelor’s degree (engineering, computer science, or related field preferred), experience with Python, and experience with either Java, C, or C++.
Lead at the Forefront of AI Technology
Acquire cutting-edge AI skills from some of the most accomplished experts in computer science and machine learning. Learn more about the online Columbia AI program.
¹ 2021 Best Online Master’s in Engineering Programs, https://www.usnews.com/education/online-education/engineering/rankings. Retrieved from U.S. News & World Report, March, 2022.
² 2020 Workplace Learning Report (page 35) by LinkedIn Learning