TECH 5280 - Productizing Machine Learning

Spring. 1 credit. Letter grades only (no audit).

Enrollment limited to: full time students enrolled at Cornell Tech. Satisfies TECH Studio Elective. Offered in New York City at Cornell Tech.

B. Marino.

This course will equip attendees with a basic playbook for turning artificial intelligence and machine learning technologies into great products and businesses. 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. Everybody is welcome in this course and diverse perspectives are valued and appreciated. Any Cornell Tech student can succeed in this class; no prior ML experience or expertise is required and there is no coding involved.

Outcome 1: Demonstrate fundamental understanding of the baseline process for productizing machine learning.

Outcome 2: Demonstrate the ability to critically adapt or revise the baseline process for productizing machine learning when applying it to a new target problem.

Outcome 3: Demonstrate fundamental understanding of common industry tools and processes for productizing machine learning.

Outcome 4: Demonstrate ability to thoughtfully map readings, lectures, and in-class comments and questions from classmates onto a new target problem chosen by student.