Architecting AI: Designing Intelligence That Scales

“Architecting AI: Designing Intelligence That Scales” is a hands-on, immersive workshop organized in Ahmedabad to connect AI concepts with real-world implementation. The workshop features expert-led sessions on autonomous business operations, scalable RAG architectures, and advanced LLM monitoring techniques. Attendees will learn how to build, optimize, and observe AI systems in production environments. This event is ideal for students, developers, AI engineers, and working professionals looking to strengthen their skills in modern AI system design.

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About

The Indian OpenSource Community presents a flagship workshop on building intelligent, scalable, and production-ready AI systems. This event focuses on real-world applications of agentic AI, Retrieval-Augmented Generation (RAG), and LLM observability using OpenLIT and OpenTelemetry.

Participants will gain practical insights into designing autonomous systems, monitoring AI performance, and deploying reliable AI solutions at scale.

Agenda

Welcome & Introduction
Opening note by organizers
Overview of AI architecture and industry trends
Introduction of speakers

Building Autonomous Business Ops
Real-world agentic AI use cases
Designing autonomous workflows
Case studies and practical examples

RAG with Gemini 3
Introduction to Retrieval-Augmented Generation
Building production-grade RAG systems
Integration with Gemini 3

Beyond the Prompt – LLM Observability
Monitoring LLM behavior and performance
OpenLIT and OpenTelemetry integration
Debugging and optimization techniques
Real-world observability use cases

Networking & Closing
Open discussion
Feedback
Closing remarks

Speakers

Saurabh Mishra
DevOps and Cloud Evangelist and GDE
Jay Thakkar
Google Developer Expert
Neel Shah
DevOps and Cloud Infrastructure Expert

Sponsors

Event Details

Email - deep.shah.7677@gmail.com

Contact - 8200711612

Address - Grras IT Solutions SF, Nishka Avenue, Above VIP Luggage Showroom, Near Swastik Cross Roads, Navrangpura, Ahmedabad - 380006

Registration

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