Artificial Intelligence is moving beyond simple chatbots into autonomous, multi-agent systems that can reason, plan, execute tasks, and learn from feedback???what we call Agentic AI 2.0. This session explores how Docker's MCP Toolkit, Docker AI Agent framework, Model Runner, and Docker Offload enable developers to build production-ready agentic applications faster and more securely. We'll demonstrate that containerization is evolving into a unified cloud-native layer that seamlessly integrates AI models, manages real-time agent orchestration, and simplifies the deployment of LLM-powered services.

Target audience: developers and architects who are already experimenting with LLMs or AI assistants and want a practical path to building maintainable, debuggable, and secure agentic applications with Docker.

https://aiagentsconference.live/speaker/naga-santhosh-reddy-vootukuri