Ai+ Training

AI multi-agent systems are revolutionizing the way intelligent applications operate, enabling autonomous agents to collaborate, communicate, and solve complex tasks. This session provides a hands-on introduction to AI agents, their evolution, and how to build multi-agent applications. Participants will start by exploring the fundamental anatomy of an AI agent, understanding its core components and the transition from traditional rule-based systems to modern LLM-powered agents. The session then delves into the design and implementation of multi-agent systems, covering key architectural principles, degrees of autonomy, and workflow coordination strategies that enhance collaboration between agents. Attendees will gain insights into different design patterns and practical considerations for building scalable and efficient agent-based solutions. The workshop concludes with a hands-on experience where participants will develop their own multi-agent application using leading AI orchestration frameworks. By the end of the session, attendees will have a strong conceptual foundation and practical experience in designing and deploying AI-powered multi-agent systems.