Generative AI Introduction and Applications

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

• Describe generative AI and distinguish it from discriminative AI.
• Describe the capabilities of generative AI and its use cases in the real world.
• Identify the applications of generative AI in different sectors and industries.
• Explore common generative AI models and tools for text, code, image, audio, and video generation.

Career Occupation

Career options available but not limited to:

• AI Research Assistant
• AI Research associate consultant
• AI Analyst Trainee

Admission Requirements

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

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 secondary 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 letters of recommendation from both their current and previous employers. 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:

Completion Requirements

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

• Maintain a minimum attendance rate of 80% 
• Achieve a minimum overall score of 70% to successfully pass.

Program Duration

40 Instructional hours/ Module

Weeks Full-Time: 2

Weeks Part-Time: 4

Homework Hours

Students should be prepared to invest approximately 20 hours per week.

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.

Equipment Required

Students who are studying online will require access to high-speed internet, a laptop and software that enables document preparation, spreadsheets, presentation tools, and graphics.

Program Organization

Required Course Materials

Suggested Textbooks:

• AI for Everyone: Mastering Artificial Intelligence: Beginner’s Guide to Understanding AI and Leveraging Its Potential for Profit by Brendan C (Author)

Generative AI: Introduction and Applications