Loading...

Description

Official 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.

 

Supplementary Information

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

Loading...

Thank you for your interest in McGill University!

Unfortunately, the activity you have selected is not currently open for registration. Please click on the "Request Information" button to complete the Course Inquiry form. This will allow us to notify you as soon as a new section becomes available.

Required fields are indicated by .