Course Description
Agentic AI is being heralded as the next step in the development of AI systems. Agentics, complex ensembles of different machine learning, data processing, and generative AI models, can provide new autonomous and proactive decision-making capabilities to organizations, participate in complex workflows, and, when needed, seek guidance from and provide insights to human users in natural languages. Key to the design and implementation of agentic systems is to better understand how they integrate into the specific social and cultural aspects of organizations. In this course we will explore the cutting edge of social agentics design, reading current literature on agentics to surface novel agent architectures and design patterns, building these within an agentic sandbox, and exploring how they operate.