Strategic AI Implementation and Governance

This unit covers how to identify, prioritize, and operationalize AI opportunities within organizations by mapping use cases, assessing business impact, and designing target operating models. Students learn required technical capabilities, team formation, responsible AI practices, risk transparency, prompt development, and ecosystem considerations to prepare viable implementation plans.

Learning Objectives

• Analyze organizational opportunity maps and productivity use cases to prioritize AI projects based on measured business impact and implementation ease
• Evaluate and design an AI target operating model that specifies required technical capabilities, team roles, governance, and responsible AI controls
• Apply prompt engineering and multimodal (CV & NLP) techniques to develop prototype solutions while documenting associated risks and regulatory considerations
• Demonstrate the ability to synthesize AI ecosystem trends, R&D integration, and global ethical considerations into a strategic implementation plan that balances innovation, supervision, and ownership