Get ready, Chandigarh! After two powerful editions, we’re back with Build with AI - Chandigarh Edition 3.0, in collaboration with Google for Developers.
With each edition, the community has grown stronger and the conversations deeper. This time, we’re raising the bar once again, bringing together developers, creators, founders, and innovators to explore how Google’s latest AI technologies, including Gemini and Gemma, are shaping the next generation of applications and experiences.
What’s New in 3.0?
Edition 3.0 is not just a continuation, it’s an evolution. Expect more advanced insights, real-world implementations, and meaningful collaboration opportunities as we move from experimentation to production-ready AI.
Here’s what you can look forward to:
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Insightful keynotes from AI leaders and industry practitioners
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Deep-dive technical sessions on building with Gemini and Gemma
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Live demonstrations of AI-powered solutions across industries
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Practical discussions on deploying, scaling, and optimizing AI applications
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Exclusive updates from the Google AI ecosystem
Why You Should Attend
Whether you’re a developer, designer, entrepreneur, researcher, or student, this event is designed to deliver practical value.
You’ll learn how to:
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Build multi-modal and intelligent applications using Gemini
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Leverage lightweight models like Gemma for efficient, real-world deployments
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Integrate Google’s AI stack into modern workflows and products
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Apply AI strategies to solve industry-specific challenges
Connect, Collaborate, and Build
Build with AI is more than a conference, it’s a growing community. Edition 3.0 creates space for meaningful networking, collaboration, and idea exchange. Meet like-minded professionals, discover potential collaborators, and spark conversations that could lead to your next breakthrough project.
Hands-On Workshops and Technical Labs
This edition emphasizes practical learning. Bring your laptop and be ready to build.
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Beginner-friendly workshops to kickstart your AI journey
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Advanced technical labs for optimizing and scaling AI systems
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