Agentic AI for Leaders: Orchestrating Human + Machine Teams

Agentic AI for Leaders: Orchestrating Human + Machine Teams

Lead human + AI teams with confidence, clear accountability, responsible governance, and measurable value.



Sub Category

  • Management

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Objectives

  • Explain the differences between traditional AI, generative AI, and agentic AI in clear business terms.
  • Identify high-value opportunities for introducing AI agents into teams, workflows, and business functions.
  • Design human–AI workflows with clear roles, responsibilities, decision rights, and escalation points.
  • Establish appropriate boundaries, permissions, and oversight mechanisms for AI agents.
  • Evaluate AI use cases based on business value, feasibility, risk, cost, and organizational readiness.
  • Build an operating model that supports responsible AI adoption, governance, and accountability.
  • Redesign roles and workflows to combine human judgment with AI-powered execution.
  • Develop responsible AI controls covering privacy, security, fairness, monitoring, and incident response.
  • Lead organizational change, address employee concerns, and build confidence in human–machine collaboration.
  • Create metrics, business cases, and executive dashboards for measuring AI value and return on investment.
  • Communicate AI strategy effectively to executives, boards, employees, customers, and business partners.
  • Develop a practical human + machine team charter and a 12-month agentic AI leadership roadmap.


Pre Requisites

  1. No programming, data science, or machine learning experience is required.
  2. No previous experience building AI agents is necessary.
  3. A basic understanding of business operations, team leadership, or organizational decision-making is helpful.
  4. An interest in using AI to improve productivity, collaboration, innovation, and business performance.
  5. Access to a computer or mobile device with a reliable internet connection.
  6. Willingness to evaluate current workflows and explore how human and AI responsibilities can be redesigned.
  7. Openness to considering the ethical, governance, workforce, and risk implications of AI adoption.
  8. The course is designed to explain technical concepts in accessible, leadership-focused language.


FAQ

  • Q. How long do I have access to the course materials?
    • A. You can view and review the lecture materials indefinitely, like an on-demand channel.
  • Q. Can I take my courses with me wherever I go?
    • A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!



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