Microsoft AI Transformation Leader

Microsoft via Coursera Professional Certificate

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Provider

Coursera Professional Certificate
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Sessions

Self-Paced
Level

Beginner

Overview

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The AI Transformation Leader Professional Certificate is an executive-level program that equips senior leaders to design, launch, and scale enterprise AI strategies using Microsoft 365 Copilot, Copilot Studio, Azure AI Services, Purview, and Power BI. Designed for C-suite executives, SVPs, and directors, it helps organizations move from isolated AI pilots to enterprise-wide transformation—no technical background required. The program covers AI readiness, total cost of ownership (TCO), governance, risk-value mapping, and AI adoption. Learners create an Enterprise AI Maturity Scorecard, evaluate AI vendors, design agentic workflows, and complete four executive-ready projects: a transformation roadmap, investment recommendation, AI governance charter, and Microsoft AI deployment strategy. By the end of the program, participants can translate AI capabilities into business value, lead the transition to autonomous workflows, and monitor key performance metrics. The certificate prepares professionals for leadership roles such as Chief AI Officer, VP of Operations, and Head of Digital Transformation. Prerequisites include experience leading cross-functional initiatives and technology investment decisions. A Microsoft 365 license with an active Copilot for Microsoft 365 subscription is required for hands-on activities. Some integrations, such as Planner, may require additional organizational licensing.

Syllabus

Course 1: AI Strategy and Transformation Planning
Course 2: AI Evaluation and Investment Decisions
Course 3: AI Governance and Organizational Architecture
Course 4: Microsoft Platform Orchestration
Course 5: The AI-Native Leadership Transition

Courses

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This course equips you to make informed decisions about generative AI investments. You'll learn to appraise AI use cases by balancing their potential for "Hard ROI" against organizational readiness and technical debt. The curriculum covers how to conduct rigorous vendor and tool evaluations within the Microsoft ecosystem, moving beyond surface-level feature checklists to assess architectural fit and long-term total cost of ownership. You will learn to structure robust investment cases that account for the Verification Tax and ongoing maintenance costs. Throughout the course, you will produce executive-level artifacts, including an AI Opportunity Prioritization Matrix, a Vendor Evaluation Scorecard, and a Multi-Year AI Financial Model. These practical exercises enable you to confidently lead technology investment decisions, effectively defend your proposals to a board of directors, and drive sustainable value realization across your enterprise.
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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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This course establishes the strategic foundation for enterprise AI transformation by translating emerging AI capabilities into a structured, value-driven roadmap. You'll assess your organizational readiness across data, policy, and talent to ensure your strategy is built on a viable foundation. The course covers how to sequence AI initiatives based on business impact and technical feasibility, with a focus on the Microsoft ecosystem's infrastructure requirements. You'll design transformation plans that account for the total cost of ownership, including the human verification cycles required for accurate AI outputs. By the end of this course, you'll be able to synthesize your North Star Vision, phased transformation roadmap, and TCO model into a single board-ready Strategic AI Investment Case — one that defends the balance between innovation speed and architectural integrity with quantitative evidence, governance-grounded recommendations, and a clear authorization narrative designed for board-level review.
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This course prepares Senior Operations Leaders, IT Architects, and C-Suite Executives to move beyond initial tool deployment and drive autonomous business models across the enterprise. You will explore the transition from static software-as-a-service (SaaS) to dynamic "Service-as-a-Software," where autonomous agents execute complex, multi-step business processes with minimal human intervention. Throughout the course, you'll learn to manage the "Human-Agent Symbiosis"—redesigning workforce structures and operational incentives to transition your teams from traditional creators to strategic orchestrators. Ideal for leaders navigating outcome-based procurement and platform scalability, the course tackles the emerging complexities of multi-agent orchestration, cross-border AI compliance, and the structural future of the AI-native enterprise. By the end of this course, you will be equipped to project the 3–5 year impact of AI on your business model, defend against frontier risks like agentic drift, and lead your organization through the post-SaaS transition.
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Designed for senior leaders, Vice Presidents, and Directors preparing for executive roles such as Chief AI Officer, Vice President of Operations, or Head of Business Transformation, this course is the capstone to your AI transformation journey. Building on the AI architectural frameworks covered throughout the program, you will learn to translate those insights into a compelling executive narrative for key decision-makers. You will analyze your leadership history across Governance Architecture, Organizational Transformation, and Value Realization to identify your strongest evidence and assess experience gaps. Consequently, you will build a four-component Strategic Executive Narrative that demonstrates your ability to govern complex systems, lead human-centric change, and create scalable accountability. You will also test your narrative against common board-level objections to strengthen its credibility. By course end, you will be able to translate your leadership strengths into a strategy for directing automated systems and human-AI coordination, and present a clear, evidence-based executive narrative that communicates your value to senior stakeholders and Boards.