Running AI as an Enterprise Capability

Overview

AI, Data Science & Cloud Certificates from Google, IBM & Meta — 50% Off

One plan covers every Professional Certificate on Coursera. 50% off Coursera Plus Annual for 10 days only — price increases June 17.

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

Communicating AI strategy to executives

This module builds your ability to communicate AI strategy to executive audiences in ways that support clear decision-making. You'll learn how AI communication differs from traditional technology updates, how to structure strategy briefings around outcomes and decisions rather than technical details, and how to facilitate discussions involving competing priorities and differing risk tolerance. By the end of this module, you'll be able to deliver AI strategy updates that help executives understand what matters, translate technical risks into business terms, and guide stakeholders toward aligned decisions.

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.