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Course Overview

Through hands-on Playbook assignments, learners build, test, refine, and prepare an AI-powered workflow for real-world implementation. The course emphasizes business value, human-in-the-loop oversight, responsible AI guardrails, change management, governance, and strategies for gaining stakeholder adoption.

  • Identify high-impact automation opportunities and distinguish between structured workflows, AI agents, and agentic AI.
  • Map workflows by defining inputs, triggers, actions, decision points, outputs, and appropriate human review.
  • Build and troubleshoot end-to-end AI-powered automations using no-code tool.
  • Establish responsible-use guardrails, governance, and change-management practices for AI automation.
  • Refine, scale, and communicate the value of an AI automation to support adoption within a team or organization.
Page last modified October 23, 2026