• AI fundamentals for executives (non-technical approach)
• AI strategy development & transformation roadmap
• AI governance, ethics & regulatory considerations
• Data-driven decision-making frameworks
• AI use-case identification & prioritization
• Risk management in AI deployment
• Change management for AI adoption
• ROI measurement & AI performance indicators

By the end of this course, participants will be able to:

1. Understand core AI concepts and their strategic implications.
2. Identify high-impact AI opportunities within their organization.
3. Develop an AI adoption roadmap aligned with business goals.
4. Establish governance, risk, and ethical AI frameworks.
5. Evaluate AI investments and measure business value.
6. Lead organizational change during AI transformation initiatives.
7. Communicate AI strategy effectively to stakeholders and boards.

• C-Level Executives (CEO, COO, CTO, CIO, CFO)
• Senior Managers & Department Heads
• Strategy & Transformation Leaders
• Digital Transformation Managers
• Innovation & Business Development Leaders
• Government & Public Sector Decision Makers

Day 1 – AI Foundations for Leaders

• What is AI? Key concepts explained for executives
• AI vs Machine Learning vs Deep Learning
• Generative AI & emerging technologies
• Global AI trends & industry benchmarks
• AI myths & realities
• Executive discussion: AI opportunities across sectors

Day 2 – AI Strategy & Business Alignment

• Aligning AI with corporate strategy
• AI maturity models
• Identifying and prioritizing AI use cases
• Build vs Buy vs Partner decisions
• AI investment planning & budgeting
• Workshop: Drafting an AI strategic roadmap

Day 3 – Data, Governance & Ethical AI

• The role of data in AI success
• Data governance & quality management
• AI ethics, bias & responsible AI principles
• Regulatory & compliance considerations
• Cybersecurity & AI risk landscape
• Case Study: AI governance failure & lessons learned

Day 4 – Operationalizing AI & Change Leadership

• Building AI-ready organizations
• AI operating models
• Talent & capability development
• Managing resistance to AI adoption
• AI project lifecycle management
• Workshop: Organizational AI readiness assessment

Day 5 – Measuring Value & Leading AI Transformation

• AI KPIs & ROI measurement
• Scaling AI across departments
• AI performance monitoring frameworks
• Innovation culture & continuous improvement
• Executive simulation: AI transformation scenario
• Final presentation & strategic action plan

CDGA attendance certificate will be issued to all attendees completing minimum of 80% of the total course duration.