Our Vision: Building the Intelligent Future of AEC
The future of Architecture, Engineering, and Construction isn't just digital; it's intelligent. AI is no longer a luxury, but a critical differentiator. AI4AEC was founded on the belief that AEC professionals are uniquely positioned to leverage AI for unprecedented innovation. We are building a cohort of **first-movers and industry leaders** who will master these tools to design smarter, build more efficiently, and innovate sustainably.
Our mission is to equip you, the AEC professional, with the practical AI skills to not just adapt to this future, but to actively build it.
Why Choose AI4AEC? Your Unique Advantage.
While many programs teach AI, very few bridge the gap to the complex, data-rich world of AEC. Our unique advantage lies in our founders' unparalleled depth of experience and our specialized approach. This isn't just AI; it's **AI engineered for AEC by those who are shaping its future.**
Hyper-Specialized Niche
We are the *only* program founded by leading AI practitioners with deep, dual-expertise specifically in **AI applied to AEC.** We focus purely on the AI skills and applications that will empower *your* industry.
No AI Experience Required
Purpose-built to empower AEC professionals with **zero prior AI experience** to become proficient AI integrators, without getting lost in overly theoretical computer science jargon. You don't need a computer science degree; you need the tools to build the future of AEC.
High-Touch Mentorship
Unlike self-paced MOOCs or large, impersonal online courses, we offer a **boutique, high-impact learning experience** with dedicated 1:1 mentorship, ensuring practical mastery and career readiness.
Meet Your Industry-Shaping Instructors
Our founders bring a unique blend of cutting-edge academic research and real-world, scalable AI system architecture insights.
Ashwin Agrawal (IIT Bombay, Stanford PhD)
Founder & Lead Instructor
An IIT Bombay graduate and a PhD from Stanford University in Applied AI, with a deep focus on AI for the AEC (Architecture, Engineering, Construction) industry. His AI in AEC course at Stanford is renowned as one of the top AI applications courses in the field. Ashwin is the academic visionary who literally wrote the book (or at least the top course) on AI in AEC at Stanford, ensuring our curriculum is grounded in cutting-edge research and industry relevance.
Arpita Agrawal (Amazon SDE2, Core AI Team)
Co-founder & AI Systems Architect
An SDE 2 at Amazon, with over 6 years of experience. For the past 2 years, she has been part of the core AI team at Amazon, building intelligent systems at scale and translating complex algorithms into robust, scalable solutions. Arpita is the operational architect from Amazon, who translates complex AI theories into robust, scalable systems. She ensures our projects are not just conceptual, but buildable and deployable, offering a rare insight into real-world AI implementation.
**Together, Ashwin and Arpita offer a holistic perspective:** From groundbreaking research to enterprise-level deployment, providing you with a truly comprehensive and practical understanding of AI's power in AEC.
Success Stories in the Making: Our Future Innovators
Meet just a few of the visionary AEC professionals who are joining AI4AEC to build the future:
Maria S. (Architect)
"I'm excited to finally bring cutting-edge AI into my design workflow!"
Current Challenge: Manual review of complex architectural plans and inefficient material estimation.
Future Aspiration: To leverage AI for automated design validation, predictive material quantities, and optimizing sustainable building practices.
David L. (Construction Manager)
"This course is the bridge I need to future-proof my career in construction."
Current Challenge: Unforeseen project delays, budget overruns, and reactive problem-solving on site.
Future Aspiration: To implement AI-driven predictive analytics for risk assessment, optimize project schedules, and enhance site safety through real-time monitoring.
Chen W. (Structural Engineer)
"The 1:1 mentorship and live projects were exactly what I was looking for!"
Current Challenge: Optimizing structural designs for complex load conditions and performing repetitive stress analyses.
Future Aspiration: To utilize AI for generative design in structural engineering, automate compliance checks, and develop smart monitoring systems for structural integrity.