Target Participants
Business Leaders
Executives managing digital transformation.
Technology Managers
CIOs, CTOs, and digital innovation leaders.
Public Policy Leaders
Regulators shaping governance of AI.
Course Objectives
After completion of the training, you will master the following
1
Understand AI’s capabilities, limitations, and applications.
2
Explore ethical challenges and governance in AI-led organizations.
3
Lead human-AI collaboration in the workplace.
4
Enhance data-driven decision-making.
5
Develop responsible AI strategies aligned with societal good.
Expected Learning Outcomes
Participants will:
Recognize AI technologies shaping industries.
Apply data-driven leadership in strategic decisions.
Manage ethical risks and biases in AI systems.
Lead organizational transformation through AI adoption.
Promote trust, transparency, and inclusion in AI-driven workplaces.
Pedagogical Approach
Case Studies
AI adoption in healthcare, finance, and government.
Simulation
Ethical dilemmas in AI decision-making.
Workshops
Designing AI adoption strategies.
Panel Discussions
Industry experts on AI leadership.
Curriculum Modules
Module 1
Introduction to AI and Emerging Technologies
Module 2
Human-AI Collaboration: Future of Work
Module 3
Data-Driven Decision Making for Leaders
Module 4
Ethical and Governance Challenges of AI
Module 5
AI Strategy and Digital Transformation
Module 6
Leading Organizational Change with AI
Module 7
Building Trust and Transparency in AI Systems
Module 8
Building Trust and Transparency in AI Systems
Delivery & Assessment
Format: Executive education programs, hybrid delivery.
Assessment: AI strategy paper, simulation participation, ethical case analysis.
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