This unit focuses on translating AI opportunities into actionable, governed solutions by connecting organizational competencies, data strategy, technical resources, and stakeholder needs. Students learn to assess feasibility, design controls and trust mechanisms, and prioritize data portfolios and projects to prepare for implementation and deployment in the final unit.
Learning Objectives
- Analyze organizational competencies, stakeholder motivations, culture, and role requirements and produce a roles-and-skills map that supports proposed AI initiatives
- Evaluate data needs, identify appropriate data sources, and assess data quality and governance risks to prioritize a data portfolio with recommended governance controls
- Design control and trust frameworks for AI decision-making that include explainability, monitoring metrics, escalation procedures, and risk-mitigation strategies
- Develop a project plan that quantifies expected value, feasibility risks, hardware/compute and resource requirements, KPIs, and a prioritized roadmap for actionable AI products and services
Curriculum
- 1 Section
- 18 Lessons
- 30 hours
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- Unit 3 — AI Value Creation and Governance18
- 1.1Identifying Competencies and Skills20 mins
- 1.2Evaluating AI’s Business Opportunity20 mins
- 1.3Decision‐Making Automation20 mins
- 1.4Data20 mins
- 1.5Identifying the Right Data20 mins
- 1.6Actionability Through AI Automation20 mins
- 1.7Establishing Trust in an AI Solution20 mins
- 1.8Controlling AI’s Decision‐Making20 mins
- 1.9Focus and Value Creation20 mins
- 1.10Project Development20 mins
- 1.11The Depth of an Organisation’s Culture20 mins
- 1.12Hardware/Compute Resources Along the AI Pipeline20 mins
- 1.13Data Governance20 mins
- 1.14Defining the Roles for AI Value Creation20 mins
- 1.15Evaluating AI’s Feasibility Risk20 mins
- 1.16AI Products and Services20 mins
- 1.17Stakeholder Motivation20 mins
- 1.18Defining the Value of a Data Portfolio20 mins
Instructor
Free
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