The Advanced Digital and Professional Training (ADaPT) program is a skills development and work placement program aimed at bridging the employment gap for recent graduates. Founded by Ryerson University's Diversity Institute, it was initially designed to help graduates in humanities and social sciences transition to employment.
Today, new graduates of any background may partake in ADaPT – in fact, the interdisciplinary nature of the cohorts add to its value. ADaPT ensures training in today’s most in-demand skills such as digital literacy and communications. Since 2014, the ADaPT program has trained more than 750 participants.
ADaPT provides training in digital literacy, communications, research, business financials, career skills, and more, and helps new grads compete for paid work placements (not guaranteed).
ADaPT is offered via two streams: Online (self-directed learning) and Live Virtual (a combination of self-directed and instructor-led learning). Preference is not guaranteed, though we will aim to accommodate your selection.
Delivered through asynchronous learning – participants will have access to a series of online modules for self-guided learning. Although this learning is self-paced and accessible at any time of day, participants are given a two-week deadline for the completion of each module.
Once a week, a virtual check-in session is held for all participants. These group sessions are facilitated by a staff member and hosted via Zoom. These are an opportunity for participants to clarify their learning and to network amongst each other.
Delivered virtually, on evenings and weekends – participants attend live workshops via Zoom in combination with access to online modules. The virtual instructor-led workshops offer hands-on exercises and opportunities to practice with peers. Each workshop may include tasks or assignments to be completed prior to or after each session. The online modules solidify the foundational knowledge of each topic.
Participants will attend a career support session with a Career Counsellor.