Upskilling Teaching and Learning

This course equips students with the essential knowledge and skills to understand and implement agentic AI in organizational settings. Agentic AI is rapidly becoming the foundation of next-generation operating models, enabling systems to act autonomously, reason independently, and execute complex tasks with minimal oversight. Students learn how AI agents use perception, planning, action, and feedback cycles to drive smarter decisions and dynamic collaboration. This course offers a customizable foundation for deploying agentic AI responsibly as a strategic advantage.

This course empowers students to deploy Agentic AI securely across environments. Learners master integration patterns while applying least-privilege principles and schema mapping to ensure safe, role-aware agent behavior. The curriculum emphasizes structured prompting for Agentic workflows, reinforced by safety rails, guardrails, and policy enforcement. Learners build observability and auditability frameworks to track agent actions, manage change control, and support secure rollout. Learners are equipped to operationalize Agentic AI with precision, accountability, and enterprise-grade resilience.

This advanced course equips students with the skills to design and implement autonomous AI workflows at scale. Through practical application and research-based frameworks, learners will modernize outdated systems and use value stream mapping to identify opportunities for automation. Learners will develop performance metrics, design multi-agent workflows, and create pilot-ready architectures that support resilient, compliant, and data-driven AI ecosystems. This course prepares students to drive transformative change within complex organizational environments.