Artificial Intelligence/ Introduction to Generative

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

Learning Objectives

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.

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

Delivery Methods

In-class instruction: 100% hours of instruction delivered in a classroom or other setting, where instructors share the same physical space as students.
Distance education: 100% hours of instruction, excluding work experience hours, if applicable, delivered remotely from a BC location.
Combined delivery: (both in-class and distance): Instruction provided through a combination of in-class and distance delivery. Program may include a work experience component (in-person).

[50] % of combined program will be provided by distance (online) delivery.

If distance or combined delivery is indicated, the online components are:

Synchronous, meaning students attend classes virtually in ‘real time’ with instructors and classmates.
Asynchronous, meaning students and instructors do not meet in ‘real time’. There is no live video lecture portion of the program. Students in a program or course that is delivered asynchronously may move through assignments at their own pace, supported by online resources such as recorded lectures, reading material, assignments and discussion groups.
Combination of both synchronous and asynchronous.

Program delivery is [20] % synchronous and [80] % asynchronous.

Program Organisation

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

Program Organisation

Course Title/Work Experience Component (in order of delivery)	# of Hours of Instruction	Delivery Method (In-class, Distance, or Combined)	Distance/Combined Delivery Description (Synchronous or Asynchronous)	Combined Delivery – Description for In-class and Synchronous Attendance
Introduction to Generative AI	80 hours	In-class, Distance, or Combined	Combined – Distance – synchronous – Distance – asynchronous – Distance – both synchronous and asynchronous	50% Class and 50% Distance

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