📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of AI Leadership and Strategy for Business Leaders Program, from foundations to a certified capstone project.
Strategy
• Distinguishing automation, augmentation and new-product opportunities
• Assessing feasibility against data reality rather than vendor demonstrations
• Build, buy or partner, and the total cost each choice actually carries
Portfolio
• Value-versus-feasibility screening and killing projects early
• Unit economics of inference and the cost curve leaders routinely underestimate
• Setting success measures before the pilot, not after
Capability
• The data foundations that must exist before models are worth funding
• Team topologies: central platform, embedded practitioners, or both
• Change management and why adoption, not accuracy, determines returns
Risk
• Regulatory exposure by jurisdiction and sector
• Reputational and concentration risk from third-party model dependence
• Escalation paths and the decisions that must never be fully delegated
Execution
• Why pilots stall: integration, ownership and unclear accountability
• Sequencing a portfolio so early wins fund harder work
• Communicating progress to boards, staff and customers honestly
Earn government-registered certification in AI Leadership and Strategy for Business Leaders Program
e-Certificate and e-Marksheet issued on successful completion.
