SMCS Students Learn the Science Behind Agentic AI Systems

October 29, 2025: The School of Mathematics and Computer Science organized an insightful workshop on Agentic AI, led by Ms. Asna Ishrat, Senior Software Architect at TPS Worldwide. The session introduced students to one of the most promising frontiers in Artificial Intelligence systems that can sense, reason, and act autonomously.

The workshop began with a conceptual foundation, tracing the evolution of AI from early rule-based systems to today’s agentic models capable of independent decision-making. Participants were introduced to the core principles of agentic AI autonomy, adaptability, and decision-making loops and explored how these systems differ fundamentally from traditional machine learning approaches.

By highlighting the minimal human intervention required in agentic systems, the session emphasized why this represents such a significant shift in the AI landscape. Through practical discussions and examples, students learned how these intelligent agents can collaborate, learn from their environments, and optimize complex processes across diverse applications.

The workshop aimed to ensure participants developed a clear and practical understanding of what "agentic" means in the AI context, setting a strong foundation for deeper exploration of its real-world impact.

By hosting such forward-looking sessions, SMCS continues to provide students with the knowledge and tools to navigate and shape the future of technology.