• What is digital transformation and why it matters

• Key technologies: AI, IoT, cloud, blockchain

• Innovation frameworks: design thinking, agile, lean startup

• Driving change in traditional industries

• Includes innovation labs and transformation playbooks

• Intersection of AI and cybersecurity: smart threats, intelligent defense

• Secure AI model development (adversarial ML)

• Implications for IoT, drones, autonomous systems

• Hands-on labs on AI-driven anomaly detection

• Leading change amid technological disruption

•• Digital leadership styles and team agility

•• Managing innovation cycles and remote teams

•• Use of AI and analytics in decision-making

•• Reflection tools: leadership self-assessment, vision planning

• Foundations of governance, risk management, and regulatory compliance

• How cybersecurity, data privacy, and operational risks align

• Global standards: ISO 27001, NIST, COBIT

• Real-life GRC implementation frameworks

• Suitable for cross-sector governance professionals

• AI/ML applications in sector-specific settings

• Case studies: diagnosing disease, legal document review, precision agriculture

• Using no-code AI tools (like AutoML, Lobe, etc.)

• Practical, career-enhancing knowledge without coding prerequisites

• Using digital tools (AI, blockchain, data) to solve social challenges

• Digital inclusion, sustainable development goals, and civic tech

• Project design: from ideation to prototype

• Real-world challenges from community partners