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Courses / Graduate School / I&E

I&E 715

Commercializing Deep Technology

Jamie N. Jones

Description from DukeHub

Deep tech is one of the most consequential arenas for new-venture creation, drawing record venture, corporate, and government capital toward science-based startups. These ventures succeed or fail on business decisions as much as technical ones: choosing the right market, designing a viable business model, managing long, capital-intensive development, and financing the company across technical and commercial milestones. This course examines how those decisions are made and applies them to a real technology invented at Duke. Over the semester, students evaluate an assigned technology, build a preliminary business case, and pitch the opportunity to prospective investors for feedback, developing transferable skills in market assessment, business-model design, and early-stage venture finance.

Skills

  • financedescription: "financing" and 1 more
  • designdescription: "designing" and 1 more
  • makingdescription: "drawing" and 1 more
  • leadershipAI review: "managing long, capital-intensive development"
  • data and statisticsAI review: "evaluate an assigned technology"

AI-resilient: 2 of 5

  • No: Physical, lab or field work
  • No: Live work with people
  • Yes: Judgment someone is accountable for · "decisions"
  • Yes: A craft you practice with your hands or body · "drawing"
  • No: Small, in-person format

The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works

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