A strategic in-person workshop for senior AECO leaders developing a value-based AI strategy for their organizations.
BIMbc will host a short online information session for professionals who would like to learn more about this course before registering. The session will introduce the course objectives, learning approach, intended audience, and expected outcomes, with time for questions.
To receive an invitation, please contact info@bimbc.com.
This course is designed for senior AECO leaders who would like to approach AI adoption as an organizational transformation effort, not as a tool selection exercise. It runs as an in person workshop, built around guided group activities, peer discussion, and shared problem solving rather than passive lectures. The course begins with AI fundamentals and then moves into identifying organizational values, goals, and needs across organizational, project, and individual levels.
Participants then examine the critical processes connected to those priorities, identify bottlenecks that limit value creation, explore where AI can support improvement, and clarify the data infrastructure required for those AI enabled solutions. The course concludes by helping participants develop an AI governance strategy aligned with organizational values, decision making needs, and transformation priorities.
Throughout the workshop, participants will use AI tools during guided activities, with optional light technical exploration where useful, to test ideas, examine assumptions, and support strategic analysis. The intent is strategic and applied, not software development.
This is an in person, participatory workshop course. Although BIMbc's AI in Construction programs begin with the fundamentals of AI, they are not generic AI training sessions. The course is designed and delivered by experienced AECO professional educators with deep expertise in digital delivery, disruptive innovation adoption, and organizational transformation in the AECO sector.
The format is built around active participation, guided group work, peer learning, and learning by doing. Participants work through practical AECO scenarios in small teams, engage in collaborative problem solving, and exchange perspectives across roles and organizations. Learning is multidirectional rather than one directional. The instructor facilitates, but the room itself is a core source of insight: senior leaders learn with and from each other as much as from the curriculum.
The course is structured to help participants move from general AI interest to a clear value driven vision, integrated planning, and effective implementation. Guided workshop activities, shared discussion, and applied exercises create an environment that is active, applied, and grounded in realistic organizational conditions, so participants leave with practical next steps they can act on in their own organizations.
The course is organized as grouped themes rather than a session by session breakdown.
AI capabilities, limitations, risks, behavior, verification, and trust.
Identifying and prioritizing what matters most across organizational, project, and individual levels.
Identifying the processes that shape organizational value and the bottlenecks that prevent those processes from supporting the intended outcomes.
Assessing where AI can realistically support critical processes, decision making, coordination, information management, and value creation.
Clarifying the data sources, ownership, quality, structure, access, and maintenance requirements needed for AI enabled solutions.
Developing governance principles across organizational, project, and individual levels, aligned with values, priorities, risks, and decision responsibilities.
Dr. Puyan A. Zadeh
BIMbc President · Pyramoon Innovations Founder · UBC Adjunct Professor
His background in artificial intelligence and machine learning dates back to the mid 2000s, including early work with neural networks and other machine learning methods for different applications in the AECO industry before today's public AI tools became widely available. Since then, he has taught various seminars on AI in construction at universities in Germany (TUDa) and Canada (UBC). More recently, his work has focused on the use of NLP and LLMs in construction, including multiple BIMbc industry workshops that help practitioners move beyond generic AI discussions toward practical questions of value, data, governance, and implementation.
The teaching approach in this course is centered around active learning, collaborative problem solving, and cross learning among participants. Participants are not treated as passive listeners. Rather than relying on traditional one directional lecturing, the courses are designed to help professionals work together through realistic organizational challenges, evaluate competing perspectives, and develop practical strategies grounded in real project and organizational conditions. The goal is not to position the instructor as the only source of knowledge, but to create the conditions for professionals to understand the issues clearly, ask better questions, and leave with concrete next steps they can apply in their own organizations.
The instructor brings together industry leadership, applied research, and teaching experience across Canada and Germany, with deep expertise in digital delivery, BIM, Lean Construction, IPD, innovation adoption, and process transformation. This combination allows "AI in construction" to be taught not as a software topic, but as an organizational capability that must be connected to strategy, people, workflows, data, and governance.
Eligible B.C. employers may be able to apply for the B.C. Employer Training Grant to support employee participation in this course. The program helps employers invest in skills training for current or prospective employees and may reimburse a portion of eligible training costs.
Employers are responsible for reviewing the official program requirements and applying directly through WorkBC before the course begins. Funding approval is determined by the Province of British Columbia and is not guaranteed by BIMbc.
Seating is limited to keep the workshop small and participatory. Registration is handled through BIMbc. BIMbc will follow up with confirmation details.
Reserve Your SeatAdditional AI in Construction training for technical implementation will be offered separately.
Please review the BIMbc Training Policies before registering. These policies include important information regarding cancellations, refunds, participant substitutions, course changes, and participant responsibilities.
View BIMbc Training Policies →