Strategic Leadership & Management in the AI Age

Module 1: Strategic leadership in the age of AI

• Understanding the impact of AI on leadership and strategy
• Characteristics of successful AI-age leader
• Leading through uncertainty and digital disruption
• Shifting from traditional to data-driven decision-making

Module 2: Introduction to leadership and AI for business

• AI for business
• Finance and AI
• Consensus building
• Executive skills for leaders

Module 3: Prompt engineering and AI operations

• Principles of effective prompt engineering
• Activity: creating prompts
• Strategic applications of AI
• Practicing task automation using AI

Module 4: Fundamentals of AI for strategic decision-makers

• Demystifying AI: Key concepts every leader must know
• AI technologies: machine learning, NLP, robotics, generative AI
• Strategic value of AI across industries
• Role of AI in reshaping competitive advantage

Module 5: Designing AI-driven business models

• Rethinking business models for the AI economy
• Leveraging AI for value creation and innovation
• Platform thinking and data monetization
• Case study: Successful AI-powered business transformations

Module 6: Business ethics and governance

• Current debates in business ethics
• Role of leadership
• Global ethical conflicts and challenges for businesses
• Governance frameworks to address challenges

Module 7: AI in strategic planning and execution

• Integrating AI insights into strategic planning processes
• Using AI for forecasting, scenario analysis, and strategic alignment
• Strategic KPIs powered by real-time analytics
• Roadmapping AI investments for long-term impact

Module 8: Talent, teams & AI-ready leadership

• Redefining leadership competencies for the AI era
• Upskilling and reskilling strategies
• Building AI-literate teams and ethical tech governance
• Leading hybrid and digital-first organizations

Module 9: Responsible leadership & AI ethics

• Ethical dilemmas in AI deployment
• Governance frameworks for responsible AI use
• Ensuring transparency, accountability, and fairness
• Stakeholder trust and ethical leadership principles

Module 10: Risk management & digital resilience

• AI-related risks: data privacy, bias, job disruption
• Managing cybersecurity and algorithmic risk
• Crisis response in digitally transformed environments
• Building resilient, risk-aware leadership teams

Module 11: Change management & organizational transformation

• Leading AI-powered change initiatives
• Overcoming resistance to automation and AI adoption
• Engaging stakeholders through clear communication
• Embedding change agility across organizational levels

Module 12: The future of leadership in the AI economy

• Emerging trends: generative AI, autonomous decision-making
• Reimagining leadership roles in AI-augmented organizations
• Creating sustainable, AI-enabled growth strategies
• Fraud detection technologies and AI tools

Module 13: Governance, ethics & the future of AI

• Responsible AI: fairness, transparency, and explainability
• Regulatory considerations and model auditability
• Building an AI strategy
• Future trends: Generative AI, quantum AI, and next-gen