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An Introduction to AI in Architecture
Artificial intelligence is rapidly entering architectural practice, but many architects and design professionals are still determining what it means for their work, firms, and professional responsibilities. Designed for small to mid-size firms but useful to anyone curious about AI, this series of courses will introduce architects to the early stages of AI adoption and how they can use these tools to improve workflows.  Through four short, self-paced courses, you’ll build baseline AI literacy, examine responsible practices, identify low-risk starting points for adoption, and understand how data quality affects AI performance. The series emphasizes practical decision making, risk awareness, and responsible experimentation rather than technical expertise. By the end, you’ll be better prepared to evaluate AI tools and determine how to begin using them. 

4 Courses
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Beyond the Chatbot: What AI Actually Does for Healthcare Design
Artificial intelligence is transforming the Architecture, Engineering, and Construction (AEC) industry, yet many professionals remain uncertain about its practical applications. This panel discussion brings together healthcare owners and project delivery professionals to separate the hype from reality. The session will begin by clarifying what AI means for AEC beyond generative chat tools, followed by a data-driven snapshot of current adoption based on a pre-webinar survey of Academy members. Panelists will demonstrate the potential for AI applications in healthcare design and planning, and in particular, discuss how proper AI-assisted code compliance validation and space programming can ensure facilities meet regulatory requirements and support optimal clinical workflows. As AI tools can help identify design deficiencies earlier in the project lifecycle, firms may see a reduction in the number of costly changes thereby improving the overall quality of healthcare environments. The discussion will conclude with practical guidance on how owners and design teams can organize their historical project data today to unlock AI capabilities tomorrow while avoiding siloed point solutions. A live Q&A will ground the discussion in real project experience.  This session was recorded live on March 17, 2026.

1 LU