Overview
Information Systems : Fundamental technologies and best practices required to implement sustainable, scalable and enterprise grade artificial intelligence (AI) data science, and machine learning (ML) products. Exploration of how enterprises use an agile approach to data science by leveraging best practices/tools that automate, track and reproduce data science experiments.
Terms: This course is not scheduled for the 2024-2025 academic year.
Instructors: There are no professors associated with this course for the 2024-2025 academic year.
Prerequisites: (INSY 660 or INSY 662) and (MGSC 660 or MGSC 661) or permission of the instructor
Minimum Grade or Test Scores : B-
Restrictions: Not open to students who have taken INSY 695 when the topic was "Enterprise Data Science & Machine Learning in Production 2"
The online version of the course includes synchronous and/or asynchronous course activities
