Running AI as an Enterprise Capability

Übersicht

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.

Lehrplan

• Introduction to AI as an Enterprise Capability
Defining AI within the enterprise context
Overview of course objectives and outcomes
• Establishing AI Governance
Understanding responsible AI frameworks
Developing governance structures for AI oversight
Best practices for ethical and responsible AI use
• Risk Management in AI Deployment
Identifying and assessing AI risks
Implementing risk management strategies
Ensuring security and compliance in AI operations
• Communication and Stakeholder Engagement
Effectively communicating AI strategies
Engaging and educating stakeholders
Aligning AI initiatives with business goals
• Supporting Organizational Adoption of AI
Change management strategies for AI adoption
Building AI literacy across the organization
Fostering a culture of innovation and accountability
• Measuring AI Value and Performance
Establishing business value metrics for AI
Evaluating AI investments
Using portfolio frameworks for strategic decision-making
• AI Strategy Alignment with Business Priorities
Identifying business priorities and aligning AI initiatives
Balancing innovation with accountability
• Sustaining AI Initiatives Beyond Deployment
Long-term planning for AI sustainability
Continuous improvement of AI processes and solutions
• Course Summary and Case Studies
Review of key concepts and frameworks
Analysis of real-world enterprise AI implementations
• Final Project and Evaluation
Developing a comprehensive AI governance plan
Peer presentations and feedback
Course evaluation and reflections

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Unterrichtet von

Microsoft

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Fachgebiete

Artificial Intelligence