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NUvention Courses
NUvention: AI Analytics

NUvention: AI Analytics (ENTREP 475) focuses on the intersection between software (AI), hardware (IoT), data (analytics), and business (entrepreneurship). The course is a unique opportunity for passionate students and future entrepreneurs to journey through the formation of a commercial technology startup. The course is designed to expose students to all aspects of creating a technology start-up, covering a wide range of topics in AI, IoT, data analytics, IT infrastructure, cyber security, and business development. Students will develop AI technologies that leverage computer vision, natural language processing, and machine learning to build smart IoT devices, cloud infrastructure, process real-time data, and produce analytics applications.

This course is designed for anyone who wants to understand first-hand the process of launching a new venture in AI Analytics. While this course obviously fits the “ready to go” entrepreneur who is looking to launch a startup or join one in the near future, it is also a good course for those who are simply curious to learn about entrepreneurship, or those looking to join a startup. This course will give you a solid understanding of what it takes to launch a new venture and a common language to use in entrepreneurial endeavors in the future.

To apply for the winter 2022 section of NUvention: AI Analytics, please submit this application form. The priority application deadline is Wednesday, November 10. Applications received after this deadline will be reviewed on a rolling basis until all seats are filled. All current Northwestern students, undergraduate and graduate alike, are welcome to apply. Questions about the application can be directed to


View course faculty


Quarter Time Location
Winter 2022  Thursdays, 6-9 p.m. Ford’s ITW Classroom (1-350)

Past Projects 


Fairpass delivers real-time communication and IoT-driven analytical data to hospitals to improve patient treatment.


Shiftology is an IoT system that shifts UPS backup
batteries charging times to save energy costs for the data center.


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