AI + DATA - AUGUST

Build Production-Ready AI Agents Powered by A2A and MCP on Microsoft Azure
3 Important Ingredients you Need for Success in Production
Abstract:
The future of intelligent systems lies in agent-based architectures that can autonomously collaborate, reason, and act. In this session, we shall explore how to design, implement, and deploy production-grade AI agents using the Agent-to-Agent (A2A) protocol and the Model Context Protocol (MCP) - two emerging standards for multi-agent collaboration and integration.
We’ll break down the critical components that drive real-world success: from choosing the right databases and infrastructure to integrating essential Azure services that support scalability, observability, security, and resilience. Whether you're an architect building distributed systems or an engineer deploying AI workflows, you'll gain practical insights into how Azure offerings can empower you to bring these agentic systems to life—securely, reliably, and at scale.
Join us to learn how to move from experimentation to production with AI agents that are ready for the real world.
Target Audience for this Talk
Software engineers, data engineers, data scientists, product managers and architects looking to understand what it takes to design, build and deploy production grade AI applications and agents in the cloud - Microsoft Azure.