E – 3106 Generative AI for Architectural Space Planning

Architectural space planning is one of the most influential stages of the design process, setting the organizational framework that determines how buildings perform and how people experience them. As projects grow more complex and expectations for efficiency, adaptability, and performance continue to rise, generative artificial intelligence is redefining how designers approach space planning. This comprehensive course introduces building professionals to the practical application of AI-driven generative design tools for architectural space planning.

Designed for architects, interior designers, urban planners, and facility managers, this course provides the foundational knowledge needed to understand, evaluate, and confidently integrate AI-powered space planning solutions into professional workflows. Participants will discover how AI systems can rapidly generate and assess thousands of layout options, balance multiple and often competing design objectives, and uncover high-performing solutions that would be difficult—or impossible—to identify through manual iteration alone.

Studies show that AI-optimized layouts can deliver 8–15% improvements in space efficiency, while firms adopting generative design report 40–60% reductions in schematic design timelines for suitable project types. These gains allow design teams to focus less on repetitive iteration and more on strategic decision-making, creativity, and client value.

Bridging advanced technology with real-world architectural practice, the course explores constraint-based generation, multi-objective optimization, machine learning, and reinforcement learning techniques for layout optimization. You will learn how leading platforms such as Autodesk Forma, TestFit, Finch 3D, and Hypar apply these methods across diverse building types—including offices, healthcare facilities, educational environments, and multi-family residential projects. Through case studies, the course demonstrates measurable outcomes such as improved adjacencies, shorter travel distances, enhanced daylight access, and increased space utilization.

By the end of the course, you will be prepared to leverage generative AI space planning tools effectively while maintaining the professional judgment, design intent, and responsibility that remain central to high-quality architectural practice.