1. AI Strategy and Management (8 hours)
- a.AI Strategies in Business (2 hours)
- b.AI Value Chain and AI Project Management (2 hours)
- c.Practical workshop on use case in strategy and leadership with AI. (4 hours)
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2. Implications of AI (12 hours)
- a.AI and Digital Transformation (4 hours)
- b.AI Risks and Security (1 hours)
- c.AI Ethics and Bias in AI Algorithms (2 hours)
- d.AI Regulation and Policy (2 hours)
- e.Workshop on ethics: Case study of ethical valuation of AI models. (3 hours)
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3. Case Studies (6 hours)
- a.Case studies in AI management and governance (example: implementing an AI strategy in an organization, managing AI risks) (2 hours)
- b.Use cases of data analytics and decision making tools supported by AI models (2 hours)
- c.Masterclass: AI and ethics in business (2 hours)
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4. AI Project (12 hours)
- a.Approach to the execution of an AI project. Own development vs outsourcing (3 hours)
- b.Implementation of an AI project in a business scenario (7 hours)
- c.Case studies in the practical application of AI (example: development of a chatbot for customer service, creation of a machine learning model to predict customer churn) (2 hours)
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5. Masterclass (8 hours)
- a.Masterclass: Case study in the energy sector (2 hours)
- b.Masterclass: AI and Corporate Social Responsibility (2 hours)
- c.Masterclass: AI and sustainability. (2 hours)
- d.Masterclass: AI and the Future of Work (2 hours)
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6. Final project presentations and discussion (3 hours)
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7.Exam and closure of the program (1 hour)
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