In this hands-on workshop, participants will learn how to build, deploy, scale, and monitor multi-agent workflows exactly the way it's done in a production environment at scale. 

We'll cover agent architecture fundamentals like multi-agent systems, MCP, context engineering and then build real-world agents with tool calling, RAG, memory, and human-in-the-loop workflows.

The workshop goes beyond development, covering evaluation strategies, CI/CD integration, prompt versioning, cloud scaling, and production monitoring and alerting.

 By the end, attendees will have the skills to take an AI agent from a local prototype to a fully monitored, production-ready system.

Prerequisites

• Familiarity with Python
• Basic understanding of API integrations 
• Prior exposure to agent frameworks is helpful but not required