Agentic AI for Leaders: Orchestrating Human + Machine Teams

About this course

This course contains the use of artificial intelligence.

AI agents are rapidly moving from experimental tools to active participants in business workflows. For leaders, this shift creates a new responsibility: deciding where agents should operate, how much autonomy they should receive, when humans must intervene, and how accountability will be maintained. Agentic AI for Leaders: Orchestrating Human + Machine Teams gives executives and managers a practical framework for leading this transition with confidence.

This course is designed for business leaders, executives, managers, transformation professionals, and decision-makers who need to understand agentic AI without becoming programmers. You will learn how AI agents, generative AI, automation, data, and human judgment work together to create new operating models and more intelligent workflows.

Across 12 weeks, you will move from foundational AI literacy to strategic execution. You will explore how to identify valuable AI opportunities, evaluate use cases, prioritize investments, and create a defensible AI portfolio. You will also learn how to design an effective AI operating model with clear decision rights, executive forums, governance structures, funding processes, and escalation paths.

A major focus of the course is human + AI workflow redesign. You will learn how to map existing processes before automating them, assign work between people and machines, define review thresholds, and build exception-handling paths. The course also examines role redesign, prompt libraries, reusable playbooks, quality assurance, and productivity measurement without damaging employee trust.

Responsible adoption is embedded throughout the program. You will develop practical approaches to AI governance, privacy, security, fairness, oversight, auditability, model monitoring, and incid

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