Practical Introduction to Agentic AI

The field of generative Artificial Intelligence is experiencing a paradigm shift towards Agentic AI. Unlike traditional AI’s reactive, task-specific nature or generative AI’s content-generation capabilities, Agentic AI systems are characterized by their autonomy, goal-directed behavior, and capacity to learn and adapt. This represents a significant advancement in workflow automation, enabling systems to operate within defined boundaries to enhance efficiency and foster innovation.

This evolution fundamentally alters the GenAI developer’s role. Instead of prescribing precise instructions, GenAI developers become architects of autonomous decision-making spaces. Their focus shifts to defining goals, setting boundaries, and providing tools, thereby empowering the AI to determine the specific sequence of actions needed to achieve its objectives.

This workshop aims to provide practitioners with the architectural thinking and practical skills necessary to navigate this new paradigm and construct intelligent, autonomous systems.