Running AI as an Enterprise Capability

This course is part of Managing AI Projects with Microsoft Professional Certificate

Instructor: Microsoft

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2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 hour to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 hour to complete

Flexible schedule

Learn at your own pace

What you'll learn

Support responsible AI governance and enterprise risk management practices.
Communicate AI strategy and manage organizational change initiatives.
Evaluate AI investments using structured business value frameworks.
Coordinate portfolio-level AI oversight within defined strategic direction .

Details to know

Shareable certificate

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Assessments

2 assignments

Taught in English

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This course is part of the Managing AI Projects with Microsoft Professional Certificate

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There are 2 modules in this course

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.

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.

What's included

1 reading1 assignment

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.