Foundations of Enterprise AI Strategy

This unit establishes foundational knowledge for planning and initiating enterprise AI initiatives, covering responsible AI principles, use-case identification and prioritization, organizational alignment, roles and team structures, reference architectures, MLOps, and cloud-based data considerations. It prepares learners to translate business problems into prioritized AI/ML proposals and to make informed platform, operationalization, and governance choices for subsequent implementation units.

Learning Objectives

• Analyze organizational, technical, and ethical challenges to enterprise-wide AI adoption and summarize their impact on project scope, stakeholder alignment, and expected business outcomes
• Apply the pillars of responsible AI and the Responsible AI Design Template to produce a compliant use-case proposal that documents data needs, governance controls, and assigned roles and responsibilities
• Demonstrate identification and prioritization of at least three AI/ML use cases and map required team roles using the Use Case Identification Process Flow and Team Building Matrix
• Evaluate reference architecture patterns, MLOps practices, cloud data-processing trade-offs, AWS AI/ML services, and algorithm selection factors to recommend an operationalization approach aligned to business objectives