AgentCamp Mumbai — Powered by Redis

Date: 28th February Time: 9:00 AM – 2:00 PM Venue: Microsoft Mumbai

IMPORTANT: Meetup RSVP does NOT confirm your seat. You MUST register via Luma: https://luma.com/t3lvexdr Only attendees with a confirmed Luma ticket email will be allowed entry.

Focus: AI agents, agentic workflows, Redis‑powered memory & real‑time intelligence

​🗓 Agenda

​🔹9:00 – 10:00 AM: Doors Open & Welcome Note

​🔹10:00 – 10:30 AM: Querying Real‑Time Data with Redis Query Engine

​Speaker: Mohamed Danish Galiyara, Solution Architect, RedisQuery data in Redis using secondary indexes, full‑text search, and structured queries—with real‑time performance. ​What you’ll learn:

​What Redis Query Engine is and how it works ​Indexing & querying data stored in Redis ​Real‑time full‑text + structured queries ​Data modeling techniques for efficient querying ​Use cases: search, filtering, real‑time views

​🔹10:30 – 11:00 AM: MCP + Redis - Build an AI Agent That Remembers (Live Demo)

​Speaker: Rahul Choubey, Senior Solution Architect, Redis. How to design agents that remember past interactions and use context effectively. Learn how MCP (Model Context Protocol) standardizes tool access for agents, and how Redis powers vector search, memory, and caching to reduce latency and cost. ​What you’ll learn:

​MCP in plain English (and why it matters for tool‑using agents) ​Redis for AI workloads: vector search (RAG), memory, semantic caching ​A simple data model for chunks, metadata, and sessions ​Avoid repeated/expensive model calls with caching ​A production‑ready mental model for agent memory & retrieval

​🔹 11:00 AM – 12:00 PM: Building Enterprise‑Ready AI Agents with Microsoft Foundry & the AI Toolkit

​Speaker: Augustine Correa, Microsoft MVP (Developer Technologies & AI Platform) ​AI agents move fast — but enterprise applications require structure, consistency, reliability, and standardized tooling.In this hands‑on session, you’ll learn how to prototype, build, and deploy enterprise‑grade, production‑oriented AI agents using Microsoft Foundry and the AI Toolkit for Visual Studio Code. ​You’ll walk through practical scenarios such as multimodal agents, semantic product search, and enterprise data integrations. Expect a fast, actionable session designed to take you from idea → working agent with minimal friction. ​What you’ll learn:

​How to build AI agents using Microsoft Foundry Agent Service ​Rapid prototyping workflows with the AI Toolkit for VS Code ​Designing multimodal and domain-specific agents ​Integrating enterprise data sources using Model Context Protocol (MCP) ​Using Python, PostgreSQL & RAG patterns in real applications ​Best practices for reliability, debuggability & observability ​Resources to continue building after the session ​A perfect session for developers looking to accelerate their AI journey with real-world tools and workflows.

​🔹 12:15 PM – 2:00 PM — Workshop: Build a Pizza Ordering Agent with Microsoft Foundry & MCP

​Format: Hands‑on Workshop ​Proctor: Augustine Correa ​Hungry to build a real AI agent from scratch? 🍕In this interactive workshop, you’ll go step‑by‑step through building Contoso PizzaBot, a domain‑specific ordering assistant powered by Microsoft Foundry Agent Service and Model Context Protocol (MCP). ​Start with a simple baseline agent, then progressively upgrade it with memory, tools, external data, and real‑time capabilities — just like a production system. ​What you’ll build & learn:

​Designing a domain-specific AI agent (PizzaBot!) ​Adding system prompts + custom behavioral instructions ​Integrating RAG for dynamic knowledge lookup ​Using tool calling (like a pizza price calculator) ​Connecting MCP-based external services (menu, availability, order tracking) ​Handling live customer queries & recommendations ​Real-time order management workflow ​Turning the prototype into a deployable agent ​By the end, you’ll have a fully functional pizza‑ordering agent capable of answering questions, recommending pizzas, and processing orders — all powered by Foundry + MCP.

​💻 Bring your laptop — this one’s hands-on, code-first, and designed to get you fully comfortable with practical agent-building workflows.