TECH 5280

Productizing Machine Learning

Course Description

Course information provided by the Courses of Study 2022-2023.

This course will equip attendees with a basic playbook for creating products based on machine learning (ML) technologies. This course is for anyone who wants to work on such products, whether they intend to become a product manager, startup founder, product attorney, or anything else. Any Cornell Tech student can succeed in this class; no prior ML experience or expertise is required and there is no coding involved. This syllabus emphasizes industry practices and tools as well as inquisitive and critical thinking about a discipline that is still very new. Assignments consist of weekly thought pieces that can be delivered in multiple formats (written text, video, or audio recording) and a final presentation that can be delivered either live or as a pre-recorded video. 

When Offered Spring.

Permission Note Enrollment limited to: full time students enrolled at Cornell Tech.

Satisfies Requirement Satisfies TECH Studio Elective - 1 Credit.

• Demonstrate fundamental understanding of the baseline process for productizing machine learning.
• Demonstrate the ability to critically adapt or revise the baseline process for productizing machine learning when applying it to a new target problem.
• Demonstrate fundamental understanding of common industry tools and processes for productizing machine learning.
• Demonstrate ability to thoughtfully map readings, lectures, and in-class comments and questions from classmates onto a new target problem chosen by student.

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