Experience a demo-driven journey from basic GenAI to production multi-agent systems. This hands-on session showcases the progressive evolution of AI applications through live demonstrations.  
Starting with GenAI fundamentals, we'll advance through single-agent architectures before introducing Model Context Protocol (MCP) for standardized context handling. Watch MCP transform agent capabilities through real-time Kubernetes troubleshooting and Terraform generation demos.  
The session culminates with multi-agent orchestration using Amazon Bedrock and open-source Strands Agents. Each demonstration builds on the previous, showing practical evolution from simple to complex implementations. We'll share executable code, architectural patterns, and production insights.  
Leave with working examples and a clear roadmap for scaling your GenAI applications from basic chatbots to enterprise-ready multi-agent systems—all through hands-on demonstrations you can implement immediately.