Leading Change in the Intelligence Age: Advanced
Lead AI and technology change across an organization, from portfolio to culture to value
This Advanced course from the Enterprise Technology Association (ETA) is for leaders responsible for AI and technology change across an organization or a large part of one. You'll move from managing single changes to leading a portfolio, set up an operating model for continuous change connected to AI governance, plan workforce pathways and fair transitions, align culture and incentives, report to boards in a way that leads to decisions and make sure changes deliver lasting value. You'll finish with an organization change plan, reviewed by ETA.
What you'll learn
- Escaping pilot purgatory: change portfolios, saturation maps and sequencing
- An operating model for continuous change, with decision rights, cadences and links to AI governance (NIST AI RMF)
- Task- and skill-based workforce planning, reskilling and redeployment pathways and fair transitions
- Leader behaviors, incentives, recognition and psychological safety at scale
- Organization-level narratives, board reporting and communicating setbacks
- Value realization, portfolio decisions and reinforcement so change lasts
Who it's for
Executives, senior managers, transformation and HR leaders, and advisors who have completed Leading Change in the Intelligence Age: Practitioner (or have equivalent experience) and lead change across an organization.
How it works
Four modules with a Try it exercise in every lesson, a knowledge check after each of the first three and a final assessment that includes your capstone summary. An ETA reviewer grades the capstone; the course completes once it's approved (3 credit hours). This is part of Level 3: Advanced of the ETA Certified Change Leader, with Change Fluency: Advanced.
Facts in this course are current as of late 2026; check the sources for the latest.