Module 2

Level 1 : Beginner

1. Aligning AI with Corporate Strategy
   The role of AI in digital transformation.
   Identifying high-ROI use cases.
2. Mapping AI Use Cases
   Leveraging the AI Use Case Prism to classify and prioritize.
   Positioning use cases based on maturity and impact.
3. Understanding Legal & Regulatory Basics
   Core regulations: GDPR, nLPD, Swiss AI Act.
   Principles of transparency and accountability.

Level 2 : Advanced

1. Measuring AI Value & ROI
   AI KPIs: productivity, cost reduction, customer impact.
   How to track and interpret performance indicators.
2. Managing AI Risks
   Common risks: hallucinations, opacity, liability, cybersecurity.
   Using tools like AI Risk Radar to assess and mitigate threats.
3. Integrating AI into IT Ecosystems
   Target architecture, flow orchestration, governance.
   Cross-collaboration: data, IT, and business teams.

Level 3 : Master

1. Managing an AI Project Portfolio
   Building and aligning a multi-project AI roadmap with strategic goals.
2. Ensuring AI Continuity & Monitoring
   Monitoring, retraining, crisis plans, fallback strategies.
3. Selecting & Evaluating AI Vendors
   Technical, ethical, and legal criteria for LLM or AI service providers.
   Managing outsourcing risks and dependencies.