📌 About the Event

The Build with AI: Code for Communities – Udaipur is an intensive, single-day technical boot camp and hands-on developer sandbox organized by GDG Udaipur in collaboration with their venue partner, Kadel Labs.

This community-led initiative is explicitly tailored to bridge the gap between abstract generative models and production-ready applications. Spanning all major developer segments including backend, database, Android, and cross-platform Flutter engineers the workshop guides builders through implementing Google’s core AI infrastructure, including Gemini, Vertex AI, Google Kubernetes Engine (GKE), and the Google Antigravity SDK.

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📅 Critical Timelines & Operations

• Date: Sunday, July 5, 2026 [Happening in 4 Days]
• Time: 10:00 AM – 6:00 PM IST (8-Hour Continuous Technical Track)
• Physical Venue Hub: Kadel Labs – Delivery Center, CP-11, 1st Floor, Singhvi Square, Opposite UCCI Office, MIA Extension, Udaipur, Rajasthan – 313003, India.
• Mandatory Requirement: This is a live coding workspace. All participants must bring their own laptops (fully charged along with their power adapters) to execute the lab sessions.
• Direct Event Helpline: For real-time coordination or navigation queries, contact the organizing team at +91-7665803943.

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⏱️ Technical Agenda & Speaker Lineup

• 10:00 AM – 11:00 AM | Registration & System Check-Ins
• 11:00 AM – 11:30 AM | Welcome Keynote & Google GenAI Roadmap 2026
• 11:30 AM – 12:00 PM | Session: Google NotebookLM as an AI Research Partner for the Future of Work
• 12:00 PM – 01:30 PM | WORKSHOP 1: Deploying Secure AI Agents on Google Kubernetes Engine (GKE)
• 01:30 PM – 02:30 PM | Lunch Break & Peer Networking
• 02:30 PM – 03:10 PM | Session: AI-Native Mobile Apps — Redefining Android Architecture
• 03:10 PM – 04:10 PM | WORKSHOP 2: Building and Deploying Apps Using Google Antigravity and MCP
• 04:10 PM – 04:40 PM | Session: Harness Engineering and Dynamic Sub-agents in Antigravity SDK
• 04:40 PM – 05:10 PM | Session: Building and Deploying Open-Source LLMs in Production
• 05:10 PM – 05:40 PM | Specially Curated Surprise Session
• 05:40 PM – 06:00 PM | Live Grand Tech Quiz, Open Q&A & Event Wrap-Up

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🧠 Core Architectural Pillars Covered

• Production GKE Orchestration: Configuring secure container isolation, token mappings, and resource allocation models for serving large model inference loops on Google Kubernetes Engine clusters.
• Google Antigravity & MCP: Utilizing the newly deployed Antigravity SDK and Model Context Protocol (MCP) to manage cross-platform state machines and dynamic sub-agent mesh routing.
• AI-Native Mobile Infrastructure: Re-architecting modern Kotlin-based Android applications to leverage local, on-device AI inference alongside cloud-hosted multi-modal endpoints efficiently.