Managing Agentic AI 5 credits

Want to understand how agentic AI can create real organizational value and how it can be deployed safely and responsibly? This course offers a practical and strategic introduction to AI agents – systems that can plan, use tools, collaborate, and perform tasks with different levels of autonomy. The course is designed for working professionals who lead or shape AI-enabled work, such as managers, product and process owners, digitalization leaders, and IT, AI, governance, or security stakeholders. You will learn how to identify where agentic AI fits best, how agentic workflows can be designed and evaluated, and what is required in terms of governance, security, data, roles, and change management. Through lectures, seminars, and project work, you will gain the ability to assess opportunities, risks, and organizational readiness, and to lead the introduction of next-generation AI in practice.

The course is aimed at working professionals who lead, design, or operationalize AI-enabled work in organizations, such as managers, product/process owners, digitalization leaders, IT/AI leads, governance/security stakeholders. The course provides participants with a practical and balanced understanding of agentic AI from both a technical and organizational perspective, enabling them to evaluate where agentic AI fits, how to deploy it safely, and how to manage agentic workers as part of real operating models. The course includes the following elements: - Foundations of agentic AI: what agents are, levels of autonomy, tool use, planning, memory, and common failure modes. - Value cases for agentic AI: identifying and scoping workflows suitable for agentic automation and augmentation. - Designing agentic systems: architecture patterns, tool integration, evaluation approaches, monitoring, and guardrails. - Operating agentic workers: human oversight, escalation paths, KPI/OKR design, incident handling, and continuous improvement. - Governance and readiness for agentic AI: data management, governance structures, procurement/vendor management, and operating model design. - Security, privacy, and ethics in agentic systems: confidentiality, access control, audit trails, and responsible deployment.