Microservices transformed cloud architectures over the last decade, enabling scalability, fault isolation, and team autonomy. Today, AI agents are redefining how modern systems are designed and operated, introducing dynamic orchestration, reasoning capabilities, and context-aware workflows.

In this session, we explore the evolution from microservices to AI-agent-driven architectures. We’ll discuss how AI agents integrate with cloud infrastructure, RAG pipelines, vector databases, and tool orchestration layers to build production-ready, intelligent systems.

Attendees will learn architectural patterns, operational best practices, reliability and security challenges, and how to design scalable AI-native systems. Real-world examples, diagrams, and practical guidance make this session highly valuable for students, engineers, and architects looking to understand the future of cloud and AI systems.