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Description

8.0 Continuing Education Units (CEUs)

Introduction to MLOps, merging DevOps, data engineering, and artificial intelligence (AI) to operationalize predictive models. Topics include: automation frameworks, performance tracking, and continual learning for adaptive intelligence. Emphasis is on practical tools and best practices for scalable deployment and optimization, bridging development and operations, evolving data science and AI projects in dynamic environments.

20 hours of lectures and 60 hours of independent study. Course may be offered in person or online with synchronous and asynchronous activities.

The passing grade for this course and prerequisite courses is B-.

RESTRICTION: Not open to students who have taken YCNG 228 - Predictive and Classification Modelling.

Prerequisite(s) and Corequisite(s)

Applies Towards the Following Programs

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Section(s) offered
Section Title
MLOps for Predictive Modelling
Language of Delivery
English
Type
Online Course
Days
M
Time
6:00PM to 9:00PM
Dates
May 04, 2026 to Jul 13, 2026
Schedule and Location
Contact Hours
30.0
Course Fee(s)
Fee non-credit $1,377.64 Click here to get more information
Drop Request Deadline
Feb 03, 2026 to May 11, 2026
Transfer Request Deadline
Feb 03, 2026 to May 11, 2026
Withdrawal Request Deadline
May 11, 2026 to May 18, 2026
Section Notes

A minimum number of registrations is required for this course section to be offered. The School reserves the right to cancel any course section when a minimum number of registrations has not been reached 7 days prior to the start date. In the event of a cancellation, the course fee will be refunded in full.

Course Drop/Withdrawal Policy

  • Any time prior to the 1st class: Course Drop Period with Full Refund.
  • After the 1st and before the 2nd class: Course Withdrawal Period with Full Refund.
  • After the 2nd class before the 3rd class: Course Withdrawal with No Refund.
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