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This session explores how to design AI systems from a practical, production-ready perspective. Instead of treating models or agents as black boxes, participants will learn how to break systems into clear building blocks, understand data flow, and evaluate when introducing agents adds real value versus unnecessary complexity. The session emphasizes architectural trade-offs, common failure modes, and system design reasoning relevant to real-world applications and technical interviews. (Google AI Studio & Python)

Agenda

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Hosted By

Procheta Nag, Lead Organizer

I am a UX/Product designer with a background in Masters in HCI and Bachelor in Computer Science. I have taught 8 undergraduate design-related courses at SFU for more than 2 years. I have worked on several research projects and made 6 research publications in renowned conferences like IEEE, ACM etc.
I am an enthusiast community lead, motivational speaker and career mentor. I enjoy skill sharing and learn from others.

Shubhra Sarker, Organizer

Andrea Liao, Community Manager

Santhosh Kumar J, Co Organizer and Event Manager

AI Enthusiast

Mansimar Wadhera, Marketing Designer

Complete your event RSVP here: https://gdg.community.dev/events/details/google-gdg-vancouver-presents-build-with-ai-vancouver-2026-06-13/.

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