Per participant
- 21 - 23 Dec, 2026
- English
- Virtual Learning
This course is also offered in face-to-face courses, click on the course below.
Overview
Course Methodology
This highly interactive course combines facilitator-led discussions, demonstrations, practical exercises, case studies, and group activities to help participants develop the knowledge and confidence to lead effectively in an AI-enabled environment. Participants will explore real-world AI applications through practical demonstrations and hands-on use of leading AI tools to support decision-making, communication, reporting, and strategic planning. Collaborative workshops and leadership scenarios will encourage participants to evaluate opportunities, address governance and ethical considerations, and apply AI concepts to realistic business challenges. Throughout the course, participants will share experiences, exchange ideas, and develop practical approaches for leading the responsible adoption of AI within their teams and organizations.
Course Objectives
By the end of the course, participants will be able to:
- Explain the fundamental concepts, capabilities, and limitations of artificial intelligence, machine learning, generative AI, and related technologies
- Identify practical AI applications and use cases across industries and business functions, including opportunities to improve organizational performance, efficiency, and decision-making
- Evaluate how AI and data can support leadership decision-making through enhanced reporting, business intelligence, forecasting, and insight generation
- Recognize the key governance, risk, compliance, and ethical considerations associated with AI adoption and responsible AI use
- Describe the leadership actions required to support AI adoption, foster a data-driven culture, and contribute to the development of AI-enabled organizations
Target Audience
This course is designed for executives, directors, department heads, senior managers, and business leaders who want to understand how Artificial Intelligence can enhance leadership effectiveness, improve decision-making, and support the responsible adoption of AI within their teams and organizations.
Target Competencies
- AI Literacy
- Strategic Decision-Making
- Leadership
- AI Governance
- Responsible AI
Course Outline
- Understanding Artificial Intelligence and Its Business Impact
- Introduction to AI for Leaders
- Definition and significance of Artificial Intelligence (AI)
- Evolution of AI from traditional systems to generative AI
- Common myths versus reality
- Understanding AI capabilities and limitations
- AI as a business enabler rather than a technology initiative
- Understanding Today's AI Landscape
- Artificial Intelligence, Machine Learning, and Generative AI
- Overview of leading AI tools and platforms
- Global AI adoption trends
- Cross-industry case studies
- Identifying AI opportunities within the organization
- Introduction to AI for Leaders
- AI for Leadership and Decision Making
- AI-Supported Decision Making
- How AI supports executive and leadership decisions
- AI-assisted reporting and business intelligence
- Predictive analytics and forecasting
- Scenario analysis and risk identification
- AI-enabled insights and recommendations
- AI Use Cases for Leaders
- Performance monitoring and KPI management
- Strategic planning and forecasting
- Customer and stakeholder insights
- Knowledge management and organizational learning
- Process optimization and automation
- Improving Reporting and Insights with AI
- Executive summaries and report generation
- Dashboard enhancement and data visualization
- Trend identification and anomaly detection
- Supporting evidence-based decision-making
- Leading AI-Enabled Teams
- Building AI confidence
- Human-AI collaboration
- Leading organizational change
- Managing resistance
- Creating an AI-ready culture
- Supporting responsible AI adoption
- AI-Supported Decision Making
- Governance, Risk, and Responsible AI
- AI Governance
- The role of leaders in AI governance
- Accountability and decision-making
- Establishing appropriate oversight mechanisms
- Questions leaders should ask about AI initiatives
- AI Risks and Challenges
- Data privacy and security
- Regulatory and compliance considerations
- Bias and fairness
- Reputational risk
- Third-party and vendor risks
- Ethical and Responsible AI
- Principles of responsible AI use
- Human oversight and accountability
- Transparency and explainability
- Trustworthy AI practices
- AI Governance
- AI Leadership Challenge Workshop
- Apply AI to a leadership scenario
- Identify opportunities to improve business performance
- Evaluate risks and governance considerations
- Select appropriate AI tools and approaches
- Present recommendations and receiving feedback
Schedule & Fees
Face-to-Face Courses
This course is also offered in face-to-face courses, click on the course below.
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