This unit focuses on turning AI opportunity into actionable, governed, and resourced initiatives that create measurable business value. Students learn to assess decision automation potential, select and govern data and compute resources, define roles and controls to build trust, and develop feasible AI product/project plans aligned with stakeholders.
Learning Objectives
- Analyze business processes and opportunities to prioritize AI use cases and define decision-making automation scope that maximizes measurable value
- Evaluate available and required data assets, compute resources, and data governance needs to identify the right data portfolio and infrastructure for AI solutions
- Design organizational roles, trust controls, and accountability mechanisms to control AI decision-making and align culture and stakeholder motivations
- Apply project development and feasibility risk assessment methods to produce an AI product/service plan with clear value metrics and stakeholder-aligned success criteria
Curriculum
- 1 Section
- 18 Lessons
- 30 hours
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- Unit 3 — Operationalizing AI Value18
- 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
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