/Events /AgentCon 2025 - Hyderabad
AgentCon 2025 - Hyderabad
This event is part of AgentCon, organized by Global AI Secunderabad.
About
Join us for the AI Agents World Tour, a global series of one-day conferences designed exclusively for developers building the future with AI agents.
From San Francisco to Singapore, we’re bringing together leading engineers, researchers, and creators to explore the cutting edge of AI agent design, deployment, and integration. Whether you’re building intelligent assistants, autonomous systems, or next-gen developer tools, this event is your fast track to practical knowledge, hands-on demos, and real-world insights.
What to Expect:
- Deep-Dive Talks from AI pioneers and industry leaders
- Technical Workshops on building, deploying, and scaling agents
- Live Demos of powerful open-source frameworks and tools
- Networking with a global community of builders and innovators
This isn't just another AI event — it’s where developers meet to talk about real code.
Ready to build the future?
Sessions & tracks
Agents of Tomorrow: Building the Next Generation of Intelligence
We stand at the edge of a profound shift in artificial intelligence. Over the last five years, generative AI has moved from novelty to necessity—transforming how we create, code, and collaborate. Now, a new frontier is emerging: AI agents. Unlike traditional tools that wait for instructions, agents can perceive, decide, and act toward goals—expanding the boundaries of what humans and machines can achieve together.
In this keynote, we’ll explore the evolution from copilots to fully agentic systems, highlight breakthroughs that are reshaping industries, and imagine the future horizons where autonomous agents redefine productivity, creativity, and discovery. Most importantly, we’ll discuss the role of humans in this new era—not as bystanders, but as leaders guiding how agents operate, align with our values, and amplify our potential.
The Agents of Tomorrow are here—and the future will be built by those bold enough to partner with them.
Henk is a Cloud Advocate specializing in Artificial intelligence and Azure with a background in application development. He is currently part of the AI cloud advocate team and based in the Netherlands. Before joining Microsoft, he was a Microsoft AI MVP and worked as a software developer and architect building lots of AI powered platforms on Azure.
Building Production-Ready AI Agents: From Single Agents to Multi-Agent Orchestration with LangChain
Abstract
Join us for an immersive, demo-heavy session where we'll build production-ready AI agents from the ground up using LangChain, Azure OpenAI, and modern RAG (Retrieval-Augmented Generation) techniques. This session will take you on a journey from creating your first AI agent to orchestrating complex multi-agent systems that solve real-world business problems. In this 45-minute session, you'll witness live coding demonstrations of: :hammer: Single Agent Development: Building an intelligent restaurant assistant that combines SQL database queries, document retrieval, and shopping cart integration using LangChain and Azure OpenAI :dart: RAG Implementation: Creating a robust document retrieval system with FAISS vector stores and Azure OpenAI embeddings for contextual information access :handshake: Multi-Agent Orchestration: Developing a sophisticated portfolio management system with specialized agents for research, analysis, and reporting using LangGraph :rocket: Production Deployment: Real-world considerations including memory management, tool integration, evaluation frameworks, and monitoring
I am an aspirant of Software Architect. I am passionate about C#, ASP.Net, Azure, Performance testing/tuning, .Net Core, and Docker. I love to learn about new technologies. | Disclaimer: The views/contents shared/authored in this site are mine and not of my employer.
Building a Smart Expense-Tracking AI Agent with n8n & Gemini
Join for an energetic, demo-driven session where we unveil an AI Agent built using n8n and Gemini API that tracks your spending straight from Telegram messages.
You’ll see how natural language, such as “₹250 dinner at Barbeque Nation,” gets instantly converted into structured data, extracting the amount, category, description, and timestamp with no manual effort.
If you love no-code tools, AI agents, or practical automations that save time, this is the session to attend!
Stephen SIMON, is a cloud and AI expert with hands-on experience in building and scaling developer communities. He has organized large-scale in-person events and as a speaker at global conferences such as Experts Live Europe and WOW Summit Hong Kong he brings clarity and depth to topics like cloud engineering and AI integrations.
Extending Copilot Studio with Azure AI Foundry
Unlock the full potential of your conversational agents with Microsoft Copilot Studio by integrating capabilities from Azure AI Foundry and Azure AI Services. (As discussed with Henk Boelman)
Sonali Panda is a Business Leader with over 21 years of experience spanning Software Engineering, Service Engineering, Product Development, and Solution Architecture. She began her career in .NET technologies before moving into Microsoft Dynamics 365 CE/CRM, and eventually expanded into Power Platform and Copilot Studio. Throughout her career, she has worn multiple hats—developer, technical lead, architect, and delivery director. In her current role as a Solution Architect with the Power Customer Advisory Team, Sonali partners with customers to provide best practices, architectural guidance, and drive successful Power Platform adoption journeys to ensure long-term customer success.
Sonali Panda is a Business Leader with over 21 years of experience spanning Software Engineering, Service Engineering, Product Development, and Solution Architecture. She began her career in .NET technologies before moving into Microsoft Dynamics 365 CE/CRM, and eventually expanded into Power Platform and Copilot Studio. Throughout her career, she has worn multiple hats—developer, technical lead, architect, and delivery director. In her current role as a Solution Architect with the Power Customer Advisory Team, Sonali partners with customers to provide best practices, architectural guidance, and drive successful Power Platform adoption journeys to ensure long-term customer success.
Supercharge your AI Agents with Model Context Protocol (MCP)
Description: AI agents are transforming the way developers deploy on Azure, and the Model Context Protocol (MCP) marks the next evolution in simplifying agent deployment. This session to explore how Azure MCP integrates seamlessly with Visual Studio Code, streamlining and enhancing your development workflow. At the end of this AgentCon participants will have a solid grasp of the Model Context Protocol (MCP) and its architecture. They will learn how to build their own MCP Weather Application Server using tools like Azure AI Agent Service, Agent Mode in GitHub Copilot, and Claude Desktop clients. Additionally, they will use the MCP Inspector to test and validate their agent applications.
Agenda: Model Context Protocol Introduction MCP Architecture MCP Servers and MCP Clients Pre-requisites for creating MCP Server Creating your own MCP Servers with hands-on Step by Step Integration using Azure AI Agent Service, Claude Desktop & Agent Mode in GitHub Copilot with hands-on Testing Agent Application using MCP Inspector with hands-on Conclusion
Janarthanan Selvaraj is working as Senior Specialist and Atos Expert AI at Atos. He is an alumni from University of Cambridge for FUEL Leadership flagship program and Professional graduate alumni from Anna University. He have been honored and recognized with the prestigious Microsoft MVP Award in the AI category, specifically recognized for my expertise in Azure OpenAI Service & Azure AI Services. He is recognized as 5 times Microsoft Certified Trainer and C# Corner MVP. He is Microsoft Azure Certified Data Scientist, AI Engineer, Data Engineer, Azure Cosmos DB Developer Specialty, Developer Associate, and Power BI Data Analyst Associate with a total of 16 Cloud Certifications from Microsoft Azure, AWS, GCP, Oracle and Aviatrix cloud. Being Resource Person conducted several meetups', Workshops, FDPs, STTP, Webinars, Knowledge sharing sessions at various levels in the organization and educational institutes. He is an active speaker, mentor, blogger, researcher and Open-source contributor in the field of AI & Cloud where his work has been mentioned across several developer tech communities, conferences and industry conclaves.
AI-Powered Developer: Coding 10x Faster with Amazon Q
We'll explore how Amazon Q is transforming the developer experience by eliminating boilerplate, speeding up cloud development, and turning repetitive tasks into one-command solutions. Through real-time examples and storytelling, you'll learn how to harness the power of Amazon Q to build, test, and deploy full-stack AWS applications with unprecedented speed.
l'll showcase a live coding challenge. Watch how Q intelligently creates infrastructure as code, secures IAM permissions, writes unit tests, and deploys to the cloud—without a single trip to the documentation.
Perfect for developers, cloud engineers, and tech leads, this session is your blueprint for becoming a 10x developer with AI as your co-pilot.
With a rich background of over 6+ years in the industry, I personally take charge of steering global Cloud. Currently, I'm hands-on, managing end-to-end responsibilities while prioritizing best practices. But it's more than just Cloud, Devops, build and Operations for me. I'm here to share my expertise on a personal level. I want to coach individuals guiding them toward becoming not just job-ready, but corporate-ready with all my experiences and learnings. Let's embark on this journey together with a sprinkle of my expertise☺️. Conducted Online and offline sessions for IT enthusiasts and Working Professionals. ✅AWS Community Builder I was speaker in below events: 🏆AWS Community Event 🏆 Women In Tech India 🏆 All Day DevOps 🏆Lunch & Learn 🏆Engineer HUB 🏆 LinkedIn Top Voice for Cloud Computing 🏆 LinkedIn Top Voice for DevOps ✅Technical Content Writer at Hashnode👩💻
Shipping Reliable Agents with LangChain and LangGraph, Accelerated with langchain-gradient
Agent demos are fun, but production agents are hard. In this demo-first talk, I’ll showcase a complete agent workflow with LangChain and LangGraph, and demonstrate how langchain-gradient (a developer tool I built) enables fast iteration with just a few lines of code and flexible model choice to arrive at the best solution. We’ll walk through the open-source Product Launch Assistant that plans, researches, drafts, and reviews launch assets end to end.
What you’ll see:
- Modeling multi-node agent graphs with guards, fallbacks, and retries
- Practical tool-use patterns (web search, RAG, structured outputs)
- Implementing memory and state management
- Evaluating LLMs per task to choose the right model
- Tactics for latency control and cost visibility
Takeaways: You’ll leave with a reusable template and repo to ship agent workflows with confidence: fewer failures, faster iteration, and production-grade reliability.
Hi, I’m Narasimha Badrinath! As a Staff Developer Advocate and Generative AI Engineer, I’m passionate about bridging the gap between cutting-edge AI research and real-world applications. My work revolves around developing and advocating for innovative AI/ML solutions, with a strong focus on Generative AI, Agentic AI, and Multimodal AI technologies. I thrive on empowering the developer community by sharing knowledge through impactful talks, hands-on workshops, and practical demonstrations. My goal is to make advanced AI concepts accessible and actionable for developers, helping them build impactful solutions that solve real-world problems. Beyond my technical expertise, I’m deeply invested in fostering collaboration and innovation within the AI ecosystem. Whether it’s through mentoring, creating educational content, or exploring emerging trends, I’m always looking for ways to inspire and enable others to push the boundaries of what’s possible with AI.
Secure AI Agent Deployment: Production-Ready Docker Patterns for Healthcare Systems
In this demo, I’ll walk through a simple 2–3 agent system including and not limited to a diagnostic agent and a pharmacy agent, to show how we can apply core Docker security patterns in practice. We’ll focus on things like hardened images, resource limits, and network policies, and then wrap up with a quick attack scenario: a container escape attempt, to see how these defenses hold up.
The target audience would be beginer- intermediatory. It will be code first presentation.
I’m Alagu Prakalya P, a fellow docker captain—I architect AI pipelines, optimize LLM deployments, and push MLOps to its limits. I build, break, and scale AI systems, from fine-tuning transformers to deploying at the edge. I’ve spoken at Collabnix, diving into Kubernetes, Kafka, and Retrieval-Augmented Generation. My open-source work includes GPT-2-Tamil and fine-tuned transformers on Hugging Face. When I’m not wrangling AI, I’m deep in a chess match or off exploring new places. Find me on GitHub, Medium, or wherever YAML throws errors for no reason.
Voice AI Agents: Because Typing is So 2020
Remember when we thought talking to our phones was weird? Well, plot twist – now our phones are talking back, and they're getting pretty good at it! In this session we will discover: How voice AI agents actually work under the hood Exploring framework like livekit for realtime voice communication. How to add tools-using agents to voice AI Real-world applications that are changing how we interact with technology The journey from simple voice commands to contextual conversations and much more
Hii , I am Harsh, B.tech from NIT Jalandhar and have delivered multiple talks on Large Language Models and Artificial Intelligence. Currently I am working as Senior AI Engineer at Rezolve AI
Agents as Data Engineers: Using LLMs to Query and Synthesize Scattered Service Data
For any enterprise service organization, the answers to critical questions are buried in a chaotic archipelago of disparate data sources: CRM databases, ticketing systems, application logs, and more. The real challenge isn't analysis; it's the painstaking, manual process of fetching, joining, and making sense of this scattered data. This talk demystifies this process by introducing a two-stage, multi-agentic workflow that automates data engineering and interpretation.
Stage 1: The Data Forage. We'll show how an Orchestrator Agent breaks down a high-level business question (e.g., "Analyze ticket trends for our top clients") into sub-tasks.
Stage 2: The Sense-Making Layer. Raw data is just noise. The second, and most crucial, stage involves agents designed to understand the business. We'll explore how a Business Context Agent takes the raw, structured data from the forage and applies organizational knowledge. It resolves ambiguities, understands what defines a "top client" based on database fields, maps customer_id from one system to org_id in another, and ultimately transforms the raw data into a coherent, analysis-ready dataset.
I am Sr Technical Leader in Cisco Customer Experience for Collaboration Technology. Currently focused on Gen AI-based innovation and its impact on the customer experience within Cisco Org. I have been a speaker in Cisco Live and have about 4 Patents pending in the US.
From Semantic Kernel to Live Trading: End-to-End AI Agent Orchestration
Imagine going from a natural language prompt straight to a live trading decision—completely orchestrated by AI agents. In this hands-on session, I’ll show a working demo of an end-to-end trading pipeline using Semantic Kernel for agent orchestration, Reinforcement Learning (RL) for decision-making, and broker APIs like Alpaca or Interactive Brokers for execution. You’ll see agents chain reasoning, query live financial data, apply risk-aware strategies, and place trades in real time. This code-first demo will walk through everything from agent flows to RL policy calls to paper trading execution. Attendees will leave with a fully functional template to customize for their own trading strategies.
Experienced Developer, Lead, and Architect with a proven track record in delivering high-performance solutions in IT and Services. Passionate about technology and continuous learning, I focus on creating solutions that drive business transformation and long-term value. I hold an M.Tech. in Data Science and Engineering from BITS Pilani and currently serve as an Enterprise Architect at Lloyds Technology Center.
From Code to Conversation: Building Production-Ready AI Agents with VS Code AI Toolkit and Azure AI
Abstract
AI agents are quickly becoming the next frontier in application development transforming static code into intelligent, context-aware systems. In this session, users will discover how to build, test, and deploy enterprise-ready AI agents using VS Code AI Toolkit and Azure AI Foundry.
I will walk through the full lifecycle: from rapid prototyping with ready-to-use scaffolding, to enterprise integration with Azure’s model catalog (GPT-4, Claude, and custom fine-tunes), to scalable deployment on Azure Container Apps. Users will also learn how to implement observability, cost controls, and compliance guardrails for production environments.
What you will Learn
Prototype Faster – Bootstrap agents with scaffolding and templates in minutes
Integrate Smarter – Connect to advanced models and enterprise systems with ease
Deploy at Scale – Ensure reliability with error handling, monitoring, and logging
See It in Action – Live demo of a multi-modal agent with external API calls
Key Takeaways
Speed up AI agent development by up to 70% with integrated tooling
Build enterprise-ready agents that meet security and compliance needs
Optimize cost and performance with Azure-native practices
Adopt future-proof patterns that evolve with AI innovation
I am Kesigan Anbalagan technology leader and AI enthusiast with extensive experience in cloud-native solutions, developer experience platforms, and enterprise AI integration. As part of the Central DevX team at Comcast, I focuses on embedding AI across the software development lifecycle, helping engineers accelerate productivity through automation, intelligent agents, and seamless developer tooling. I have delivered multiple sessions and workshops on topics such as Model Context Protocol (MCP) Inspector, AI SDLC enablement. With a passion for bridging the gap between cutting-edge AI research and real-world enterprise applications, Kesigan helps teams adopt AI responsibly, with a strong emphasis on governance, scalability, and cost optimization. Outside of work, actively contributes to the developer community, sharing practical insights on AI adoption, developer productivity, and the future of intelligent applications
Bridging AI Agents with Traditional ML: MCP Servers for Seamless Orchestration
While most agent demos focus on LLM-only workflows, real-world systems often need to integrate traditional machine learning algorithms alongside generative AI. In this session, I’ll show how I built an MCP server that orchestrates scikit-learn models (Decision Trees, Random Forests, Linear Regression, SVMs, etc.) through natural language prompts
AI/ML engineer who builds agentic systems, multi-agent pipelines, and AI integrations that make advanced workflows production-ready. He is passionate about sharing knowledge through ML sessions and brings the same energy to hackathons, where he has won a few. Driven by curiosity and hands-on problem solving, Prem enjoys turning AI ideas into real-world solutions.
Lab: Build Autonomous Support Agent
You need laptop to attend this lab
After completing this lab, participants will be able to create autonomous agents that automatically respond to user emails, provide guidance from knowledge bases, and integrate with ServiceNow for ticket management. You'll learn how to configure triggers, add knowledge sources, and integrate external tools for comprehensive automated support.
Sonali Panda is a Business Leader with over 21 years of experience spanning Software Engineering, Service Engineering, Product Development, and Solution Architecture. She began her career in .NET technologies before moving into Microsoft Dynamics 365 CE/CRM, and eventually expanded into Power Platform and Copilot Studio. Throughout her career, she has worn multiple hats—developer, technical lead, architect, and delivery director. In her current role as a Solution Architect with the Power Customer Advisory Team, Sonali partners with customers to provide best practices, architectural guidance, and drive successful Power Platform adoption journeys to ensure long-term customer success.
AI Agent (and MCP) Vulnerabilities and Security
While everyone discusses building AI Agents, few discuss the security risks involved.
In fact, MCP is a security nightmare currently.
Like any other IT application, AI Agents' security is also important, and we will deep dive into this.
We will talk about prompt injection, jailbreaking, tool poisoning, command injection, Privilege escalation and various other techniques through which hackers can easily hack your AI Agents.
We will also see a live demo of Jail breaking.
Finally, we will discuss how to secure and scale our AI Agents.
This would be a fun session, which will also make you think.
Nikhilesh is an entrepreneur, teacher and tech nerd He is an IIT Kharagpur alumnus. He is also a Google Developer Expert for AI and has 14000+ followers on LinkedIn. Currently, he runs "AI ML etc." - an AI-enabled educational platform for senior IT professionals to learn AI. Previously, he had built 2 startups, raised funds and then got a successful exit. He is also felicitated by the Chief Minister of Rajasthan for his contribution to startups and education.
From Docs to Dialogue: A RAG-Powered Support Bot in Action
Tired of users digging through endless documentation? In this session, I’ll live-demo how I built a RAG-powered support chatbot for Devfolio using LangChain, OpenAI, and vector search.
We’ll walk step by step through:
Designing the retrieval-augmented generation (RAG) pipeline for real-time, doc-based answers.
Integrating company documentation and guides into a vector store.
Handling queries with LangChain orchestration.
Demo: The bot answering real support queries and edge cases.
The focus will be code-first and demo-heavy - you’ll see the implementation, key patterns, and lessons learned from building a production-ready AI support assistant.
By the end, attendees will leave with a practical blueprint to build their own AI-powered support agents using open-source tools and OpenAI.
I write, code, and contribute for the community. Basically survies for hackathons… and occasionally for caffeine and the chaos that comes with both. My interests swing between Flutter and React, and when not debugging, you’ll probably find me on a cricket field, equally passionate about chasing boundaries as I am about chasing ideas.
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