Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Running AI as an Enterprise Capability

Microsoft via Coursera

Go to class Write review

Overview

Google, IBM & Meta Certificates – 40% Off

One plan covers every Professional Certificate on Coursera.

Unlock All Certificates

Running AI as an Enterprise Capability focuses on sustaining AI initiatives beyond initial deployment. As organizations expand artificial intelligence across business operations, long-term success depends on governance, risk oversight, value measurement, and structured change management. This course explores responsible AI frameworks, security and compliance considerations, and enterprise risk management practices. You’ll examine how to communicate AI strategy clearly to stakeholders, support organizational adoption, and align initiatives with defined business priorities. You will also evaluate AI investments using business value metrics and structured portfolio frameworks to support informed decision-making within established strategic direction. By the end of this course, you’ll be able to contribute to sustainable AI governance programs, support compliance and risk oversight, and coordinate AI initiatives in ways that balance innovation with accountability in enterprise environments.

Syllabus

Managing organizational change for AI adoption

This module develops your ability to lead organizational change when AI solutions alter how work gets done. You'll learn why AI initiatives often fail at the adoption stage rather than the technical stage, how to assess organizational readiness and identify who will be affected, and how to plan communication and support strategies that address resistance before it derails progress. By the end of this module, you'll be able to develop change strategies that match the scale and risk of your AI initiatives, communicate role and process changes clearly, and guide teams through the human side of AI transformation.