Generative AI Strategic Leader Specialization course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview (80-120 words) describing structure and time commitment.
Module 1: Foundations of Generative AI for Leaders
Estimated time: 10 hours
- Introduction to generative AI concepts from a leadership perspective
- Understanding Large Language Models (LLMs) and their capabilities
- Limitations and misconceptions of generative AI
- Real-world business applications of generative AI
Module 2: Generative AI Strategy and Business Transformation
Estimated time: 14 hours
- How generative AI reshapes competitive advantage
- AI-driven innovation, efficiency, and growth opportunities
- Strategic frameworks for prioritizing AI initiatives
- Aligning AI with business model evolution
Module 3: Governance, Ethics, and Risk Management
Estimated time: 8 hours
- AI ethics, bias, and transparency in enterprise contexts
- Regulatory and compliance considerations for AI
- Mitigating risks like hallucinations and data leakage
Module 4: Leading AI Adoption and Change Management
Estimated time: 12 hours
- Leading cross-functional AI implementation teams
- Managing organizational change due to AI integration
- Building AI literacy across leadership and workforce
- Strategies for workforce transformation and upskilling
Module 5: Capstone: Generative AI Strategic Roadmap
Estimated time: 16 hours
- Designing a generative AI strategy for a real or simulated organization
- Defining vision, priorities, and governance structures
- Establishing success metrics and long-term value creation plans
Prerequisites
- Familiarity with basic business strategy concepts
- Experience in leadership or managerial role preferred
- No technical background required
What You'll Be Able to Do After
- Explain generative AI and LLMs in non-technical, strategic terms
- Identify high-impact AI use cases across business functions
- Evaluate AI opportunities, risks, and ROI at the organizational level
- Develop governance models for responsible AI adoption
- Create an actionable, business-aligned AI strategic roadmap