AI Governance and Organizational Architecture

О курсе

This course provides the framework for leading a high-impact AI rollout while maintaining a secure and resilient environment. You will learn to move beyond manual oversight by implementing automated technical guardrails—such as system-enforced data protection—to mitigate the risks of "permission sprawl" and data leakage. The course addresses the transition from slow, reactive "User Councils" to a proactive Strategy as Code model. You will learn to design an AI Center of Excellence (CoE) that functions as a Policy Engine, managing Architectural Debt and shifting labor from "content creation" to "human-in-the-loop" verification. By the end of this course, you will be able to architect a deployment strategy where AI accelerates business decisions through automated contracts and system-enforced accountability. This course is designed for professionals with significant experience in AI implementation, IT governance, or organizational leadership. Participants should have foundational familiarity with enterprise technology ecosystems, organizational management principles, and standard governance frameworks; hands-on technical AI experience is not required.

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Microsoft

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