The Strategic Foundations section brings together three segments to provide leaders with a complete understanding of what AI truly is, how to identify its opportunities, and how to translate strategy into responsible execution.
Through short lectures, visual glossaries, frameworks, and real-world case studies, you’ll move from AI awareness to strategic action—learning how to assess opportunities, create practical roadmaps, and apply governance for responsible AI use.
Across all three modules, you’ll explore six key topics:
- Key concepts and terminology through a leadership lens
- AI capabilities and limitations
- Relevance of AI to your business
- Framework for AI opportunity
- Creating a practical roadmap
- Key governance considerations for responsible AI use
Together, these experiences build the understanding, tools, and confidence required to lead AI-driven transformation effectively and responsibly.
Alongside these structured learning modules, you’ll engage in immersive practice scenarios that allow you to apply core frameworks in realistic business contexts.
Learning Objectives
By the end of this combined course, you will be able to:
- Explain key AI concepts and terminology through a leadership lens.
- Distinguish between AI capabilities and limitations with real-world examples.
- Identify AI technologies most relevant to your industry and organization.
- Develop a framework for AI opportunity assessment and apply the Five Dimensions framework to evaluate and prioritize initiatives.
- Create a practical AI roadmap that aligns with business value, goals, and readiness.
- Identify key governance considerations for responsible, ethical, and scalable AI implementation.
Topic Breakdown
Module 1: The AI Leadership Landscape
- Executive overview of AI technologies transforming business
- Real-world examples of AI impact across industries
- Current capabilities and realistic limitations for strategic planning
AI Leadership Lexicon
- Visual glossary of AI terms and concepts
- Interactive examples showing AI in action
- Industry-specific AI applications reference guide
Practice Scenarios
- Evaluate AI vendor claims using the CAVEAT framework
- Communicate AI strategies using the CLEAR framework
- Prioritize AI use cases with the NOW vs. NEXT framework
Module 2: Strategic Implementation of AI
- Framework for identifying high-value AI opportunities
- Approaches to prioritizing AI initiatives for organizational impact
- Governance structures for responsible AI deployment
AI Strategy Blueprint
- AI Opportunity Assessment
- Prioritization Matrix for AI initiatives
- Implementation Roadmap Builder
- Governance Framework checklist
Practice Scenarios
- Apply the AI Governance Framework to design responsible innovation agendas
- Use the Five Dimensions Assessment to prioritize initiatives
- Develop an AI implementation roadmap that balances resources, sequencing, and readiness
