Building a Bridge: Providing Training for Non-Direct Learners to Enter the AI Graduate Certificate Program

Artificial Intelligence (AI) graduate certificate programs fulfill an essential role in developing a growing and in-demand skillset for students interested in a broad range of practical applications, including natural language processing, image processing, computer vision and business decision-making. However, not everyone interested in these programs can be granted admission due to lack of prior training.

This project seeks to fill a number of current knowledge gaps, including understanding the types of pre-training/learning that would allow individuals to demonstrate prior learning and therefore grant entry and understanding the characteristics of the target audience in the area of non-direct learners who, upon completing the pre-training/learning, would enrol in a full-time two-semester post-secondary program.

This project aims to increase enrollment in Humber’s post-graduate certificate program in Al. The lessons and results of this study also hold the potential to be utilized for all graduate certificate programs at Humber. The project supports the aspect of the Humber Academic Plan that relates to supporting and promoting recognition of prior learning and ultimately making education more accessible for all learners.