AI Implementation and Cultural Transformation - AAI-X803
Course Description
Maintain Your AI Competitive Edge
This course equips leaders with the strategy, structure, and ethical frameworks needed to guide enterprise-level AI transformation. Through hands-on labs, scenario-based analysis, and real-world roadmapping exercises, students will learn how to build product-based AI teams, define cross-functional execution plans, and scale measurable business value. Key topics include AI roadmap development, risk-tiered governance, organizational design for AI products, stakeholder alignment, and building a metrics stack that ties model-level performance to operational and executive KPIs. By combining systems thinking with human-centered insight, this course helps leaders turn AI potential into long-term strategic advantage.
Learner Outcomes
- Design AI roadmaps that translate strategic priorities into executable plans, balancing capacity, dependencies, and organizational readiness
- Organize AI work around product-based teams and apply the four core AI team types to improve alignment, flow, and scalability
- Construct a three-layer AI metrics framework that links model performance to operational effectiveness and executive business outcomes
- Evaluate the human and ethical impact of predictive AI and propose strategies that center equity, trust, and human complexity
- Develop a 90-day governance activation plan using risk-tiering, use case cards, and stage-gate reviews to ensure responsible oversight
- Assess AI readiness across teams and roles, and apply skill frameworks to plan and support organization-wide AI upskilling
- Communicate AI strategy effectively to stakeholders using dashboards, feedback loops, and value signals to drive transparency and buy-in
Course Details
Number of Units: 2.0 graduate level extension credit(s) in semester hours
Who Should Attend: Chief Executive Officers (CEOs); Chief Information Officers (CIOs) and Chief Technology Officers (CTOs); Chief Data Officers (CDOs) and Chief Analytics Officers (CAOs); Chief Operating Officers (COOs); Vice Presidents and Directors of Strategy, Innovation, or Operations; Senior Managers and Consultants in Technology, Data, and Business Transformation; Business Unit Leaders and Functional Managers (e.g., Marketing, Finance, HR, Supply Chain); and Board Members and Senior Advisors.
Recommended Textbook: Skelton, M., & Pais, M. (2025). Team Topologies (2nd ed): Organizing Business and Technology for Fast Flow of Value. IT Revolution Press. ISBN 9781966280002. May be purchased at https://teamtopologies.com/
Applies Towards the Following Certificate(s), Professional Programs and Series
- AI for Leaders and Executives Certificate : Register for all 4 courses and Pay for the Certificate Fee
Online Self-Paced courses are a perfect blend of accessibility, convenience and flexibility for you to control your learning pace. You will use course textbooks, manuals, assignments and exams to learn and earn credit. Depending on the course, you may also use streaming audio and video, CD-ROM, and download embedded materials through the Internet. Communication with your instructor will take place through your course site online. Your instructor will provide feedback via written responses on your assignments and exams. Grades are based on completed projects, assignments and exams. You can register at any time and you will have six months from the time of registration to complete your course.