Course Details

This course is appropriate for a wide range of professionals but not limited to:

• Business leaders, strategy and sustainability professionals
• HR, talent management, and organizational development leaders
• Technology and innovation managers
• Policymakers and public sector planners
• Consultants and researchers focused on digital transformation and ESG

• Expert-led sessions with dynamic visual aids
• Comprehensive course manual to support practical application and reinforcement
• Interactive discussions addressing participants’ real-world projects and challenges
• Insightful case studies and proven best practices to enhance learning

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

• Understand the core capabilities of AI and its transformative potential in business.
• Align AI adoption with long-term sustainability goals and ESG principles.
• §Anticipate how AI will reshape job roles, organizational structures, and required skills.
• Assess ethical, social, and governance considerations of AI deployment.
• Formulate actionable strategies that integrate AI, sustainability, and workforce readiness.

DAY 1

Foundations of AI and Strategic Impact

• Welcome and introduction
• Pre-test
• What is AI? Key technologies: machine learning, NLP, computer vision, automation
• AI in business today: productivity, personalization, predictive insights
• Strategic opportunities and risks of AI adoption
• Industry use cases: energy, finance, healthcare, manufacturing
• Workshop

DAY 2

AI and Sustainable Business Strategy

• Linking AI to sustainability (UN SDGs, ESG frameworks, net-zero targets)
• AI in environmental monitoring, energy optimization, and supply chain decarbonization
• Circular economy and resource efficiency through AI
• Balancing profit, purpose, and planet with intelligent systems
• Case study

DAY 3

The Future of Work and Workforce Transformation

• How AI is reshaping job roles and core business functions
• Automation vs. augmentation: which jobs are at risk, which will emerge
• Rethinking work design, teams, and collaboration in the AI era
• Upskilling, reskilling, and lifelong learning strategies
• Group activity

DAY 4

Ethics, Governance, and Responsible AI

• AI ethics: bias, transparency, accountability, and explainability
• Regulatory frameworks: EU AI Act, OECD principles, global perspectives
• Building ethical AI systems aligned with corporate values and stakeholder trust
• Governance models for AI oversight and cross-functional alignment
• Group discussion

DAY 5

Strategic Integration and Innovation Roadmapping

• Integrating AI into business models and long-term strategy
• Innovation ecosystems: partnerships, open innovation, and agile development
• Building AI-sustainability roadmaps: from pilots to scaled deployment
• Measuring success: KPIs for AI adoption and impact
• Final group project
• Post-test
• Certificate ceremony