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Description

Official Description

8.0 Continuing Education Units (CEUs)

Introduction to core machine learning methods using Python. Exploration of data processing, model training, and evaluation, with a focus on classification, regression, and generative techniques. Topics include artificial neural networks, deep learning basics, convolutional and recurrent networks, reinforcement learning, and generative AI concepts.

 

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 YCBS 258 - Practical Machine Learning.

Prerequisite(s) and Corequisite(s)

Applies Towards the Following Programs

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Section(s) offered
Section Title
Practical Machine Learning
Language of Delivery
English
Type
Online Course, fixed date
Days
T
Time
6:00PM to 9:00PM
Dates
Jan 20, 2026 to Mar 24, 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
Dec 19, 2025 to Jan 27, 2026
Transfer Request Deadline
Dec 19, 2025 to Jan 27, 2026
Withdrawal Request Deadline
Jan 27, 2026 to Feb 03, 2026
Section Notes

LEARNING MANAGEMENT SYSTEM (LMS)

Please note that your activity has a Learning Management System (LMS) component attached to it. You will receive a separate email with a confirmation and detailed instructions within the next 24 hours.

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 Format

This online course is a combination of weekly live online instructor-led sessions from 6:00 - 7:30 PM and self-directed learning activities and assignments.

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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