Course Description

In this course, you will learn the fundamentals of neural networks, including how to adjust for different variables, train a neural network with backpropagation, and prepare images and text data for modelling.

Through demonstrations and applied learning, you will explore how to build a complete neural network architecture to solve different types of problems as well as how to improve a neural network’s performance.

You will also learn about proper techniques and best practices in training and validating clustering models through unsupervised learning. Finally, you will work through the complete process of solving a clustering problem and learn how to evaluate and improve the performance of clustering algorithms.

Learner Outcomes

Upon completion of this course, you will know how to:

  • prepare data (image or text) for modelling
  • build deep learning models to solve problems for an organization
  • evaluate the performance of deep learning model
  • build clustering models designed to solve problems for an organization
  • evaluate the performance of unsupervised learning models.


DATA 024 - Supervised Learning — Regression, Univariate, and Multivariate Time Series is a mandatory requirement for this course. 

Applies Towards the Following Certificates

Enrol Now - Select a section to enrol in
Section Title
Deep Learning and Unsupervised Learning
Lecture - Online Synchronous
6:00PM to 7:00PM
Jun 25, 2024 to Jul 23, 2024
Schedule and Location
Contact Hours
Delivery Options
Course Fee(s)
Tuition non-credit $1,935.00
Drop Request Deadline
Dec 14, 2023 to Jul 01, 2024
Transfer Request Deadline
Dec 14, 2023 to Jul 01, 2024
Withdrawal Request Deadline
Jul 02, 2024 to Jul 16, 2024
Section Notes


There are no prerequisites for this course.


Participants will complete 24 hours of online, independent study supplemented with 6 hours of live virtual learning sessions with the instructor and other students. These virtual sessions are mandatory and will be delivered using Zoom & Brightspace/D2L and are interactive. Zoom sessions will be held on Tuesdays starting June 25, 2024 and ending July 23, 2024, from 6:00 pm - 7:00 pm. 

We encourage you to use your webcam and microphone to contribute to a more collaborative learning experience.

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