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Columbia Engineering online Artificial Intelligence (AI) program

Learn how to build artificial intelligence-powered systems, products, and services in this non-credit, non-degree executive education program.

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About the program

  • Rigorous curriculum: Join other high-achieving learners on a self-paced bridge course, six in-depth core courses, and a rich on-campus immersion. 
  • World-leading faculty: Gain insights from global AI experts who have contributed extensively to the research that shapes the field today.
  • In-person immersion: Take part in a mandatory three-day immersion on campus in New York City that includes presentations, working sessions, and networking events.

About Columbia Engineering

Columbia University is the only Ivy League university based in New York City. Since 1864, the Fu Foundation School of Engineering and Applied Science — or Columbia Engineering — has brought together visionaries from engineering and applied science to confront the biggest challenges of the age. Over the decades, both faculty and learners have sustained the school’s tradition of innovating for the betterment of society and mobilizing engineering as a force for positive change.

Tuition and fees are subject to change and may increase each academic year. Tuition does not include student fees, technology platform licensing, or support services. Learners are also responsible for travel and accommodation costs related to any in-person immersions or residentials.

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Core courses

The AI executive education program is centered on building knowledge through the following: the provision and facilitation of insightful instruction, vigorous discussion, and meaningful peer collaboration. Learners have the opportunity to bolster their skill sets through a range of assessments, quizzes, exercises, and projects. The main curriculum consists of six core courses:

  • Intro to AI and Business for AI: Discover how AI and machine learning applications can transform customer service, sales, and marketing strategy across a range of industries.
  • Algorithms and Machine Learning: Learn to design and analyze efficient algorithms, such as sorting and searching, dynamic programming, and regression and classification.
  • Neural Networks and Deep Learning (DL): Explore the theoretical underpinnings and practical applications of neural networks and DL in solving challenges in your business context.
  • Natural Language Processing and Speech: Examine the real-world applications of language modeling, such as text generation, machine translation, information extraction, and automatic summarization.
  • Computer Vision and Robotics: Learn how algorithms integrate with the physical world via mechanisms such as image sensing, processing and filtering, segmentation, and object recognition.
  • Security, Privacy, Policy: Investigate how data security and privacy relate to data mining and storage, and study the legal, social, and policy development frameworks that apply.

Admissions

Tech professionals and business leaders across industries are encouraged to apply. All applicants must have prior programming experience (knowledge of Python, Java, C, or C++ is preferred). A bachelor’s degree is also recommended. To complete an application for this non-credit, non-degree executive certificate program, you will need to submit:

  • An online application

  • University transcripts 

  • Résumé or CV

  • A personal or professional statement (500 words)

  • An application fee of $85 (waivers available)

Immersion

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Learners partake in a three-day immersion experience at Columbia University’s Morningside campus in the New York City metro area — a vibrant hub of tech-based creativity, innovation, and research. 

This mandatory in-person experience includes presentations and working sessions, as well as networking and community-building events. All activities are meant to empower learners to form meaningful connections with their peers, program instructors, and Columbia Engineering faculty.

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