Artificial Intelligence/ Introduction to Generative AI

Overview

Program Description

Industries are increasingly using machine learning to foster innovation in various fields. These technologies are the foundation for creating business intelligence tools, automating workflows, and improving smart manufacturing processes. This curriculum introduces students to the core concepts of computer science and artificial intelligence, teaching them how to design technology solutions that tackle new challenges in different sectors. Students also gain hands-on experience by working on practical projects guided by experienced academics and researchers, helping them build essential skills in this field.

80 hours/ 4 weeks

Certificate

In-Class, Distance, Combined

Learning Objectives / Outcomes

Upon successful completion of this program, the student will have reliably demonstrated the ability to:

  • Understand key concepts of generative models (GANs, VAEs) and distinguish them from discriminative models.
  • Apply TensorFlow and PyTorch to build and train generative models for AI applications.
  • Utilise generative AI for creative tasks like image generation, text generation, and solve real-world problems in art and design.
  • Evaluate ethical concerns like bias and fairness in generative AI and design systems following ethical guidelines.
  • Analyse emerging trends and research in generative AI to anticipate future applications.

Career Occupation

Based on the NOC (National Occupation Classification) Version 2016 1.3 

Unit Group 2173 – Software engineers and designers

Career options* available but not limited to:

  • Junior Data Entry Specialist
  • Machine Learning Intern
  • AI Support Intern
  • Data Annotation Assistant
  • Entry-Level Software Tester
  • AI Documentation Assistant
  • Junior Data Analyst

Admission Requirements

To be eligible for admission, applicants must meet the following criteria:

1. Basic Admission Requirements 

  • High School Completion: Applicants must have a high school diploma or an equivalent qualification.
  • Age Requirement: Minimum 19 years of age 
  • Mature Student Status*: Applicants who have not completed high school and are at least 19 years of age, may apply as a mature student. 

*Mature student status may be granted to applicants who are over 19 years old and have not completed high school or equivalent. The applicants will be considered for admission based on the skills and experience they have acquired since leaving school. The applicant is required to provide the most recent transcripts or proof of academic accomplishments, a resume or summary of professional accomplishments, and two professional letters of recommendation. The applicant may be interviewed by the Registrar’s or Academic office to further assess their suitability for admission to the program of study.

Methods Of Evaluation

Students demonstrate their learning in the following ways:

Evaluation Method Weight
Assignment 1 25%
Assignment 2 25%
Final Project/Exam 50%
Total 100%

 

Completion Requirements

To successfully complete the program, students must meet ALL of the following requirements:

  • Obtain a minimum overall grade of 70%  to pass

Required Course Materials

For a detailed list of textbooks and educational materials, refer to individual course outlines. 

All students must have a laptop or tablet that has a suite of applications for accessing e-books, word processing, creating spreadsheets, charts, graphs and presentations as well as access to high speed internet.

Required Course Materials

  • For a detailed list of textbooks and educational materials, refer to individual course outlines. 
  • All students must have a laptop or tablet that has a suite of applications for accessing e-books, word processing, creating spreadsheets, charts, graphs and presentations as well as access to high speed internet.

Minimum Technology Requirements

  • Domain and Hosting
  • Student Edition Adobe Creative Suite
  • Personal Notebook Computer or MacBook, with following specifications: 
  • Processor Chip: Intel Core i7 or i9
  • Speed: 3.9 GHz or higher
  • Example: Intel Core i7-7820HQ, 4-core 3.9 GHz
  • RAM: 8 GB or higher (Note: Windows 10 requires 4 GB minimum)
  • Graphics Card: NVIDIA GeForce GTX 1080 with 4 GB of dedicated RAM (recommended: NVIDIA GeForce GTX 1080 Ti)

Graphics card must have dedicated RAM separate from the computer’s main RAM

Fee Details

Tuition CAD 950
Application Fee CAD 150
Administration Fee CAD 50
Course Materials CAD 50
Course Retake CAD 850 per course
Copy of Transcript CAD 20 per copy

INTAKES
Start dates:

9 Mar 2026 | 13 Apr 2026 | 11 May 2026 | 8 Jun 2026 | 6 Jul 2026 | 10 Aug 2026 | 7 Sep 2026 | 5 Oct 2026 | 2 Nov 2026 | 30 Nov 2026 | 11 Jan 2027 | 8 Feb 2027 | 8 Mar 2027 | 12 Apr 2027 | 10 May 2027 | 7 Jun 2027 | 5 Jul 2027 | 9 Aug 2027 | 6 Sep 2027 | 4 Oct 2027 |  1 Nov 2027 | 29 Nov 2027

Ready To Apply?

Know More About the program!

Student Type
Checkboxes