COURSE CONTENT
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Week 1: Foundations of AI and ML
- Supervised and Unsupervised Learning
- Regression Trees, Random Forest and CatBoost
- Techniques for Unsupervised Learning
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Week 2: Foundations of Generative AI
- Introduction to Generative AI
- GPT-3
- The Challenges of GPT-3
- ChatGPT and Generative AI
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Week 3: Foundations of Optimization
- Optimizing Complex Decisions
- Linear Programming Formulation
- Shadow Price and Sensitivity Analysis
- Optimization with Gen AI
- Case Studies: Production Optimization and Financial Investments
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Week 4: Key Supply Chain Capabilities
- Unified View of Demand
- Supply Chain Segmentation
- Smart S&OP
- Control Tower
- Supply Chain Resiliency
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Week 5: Applications of Generative AI in Supply Chain Management
- Generative AI for Supply Chain Planning
- Generative AI for Demand Planning
- Generative AI for Procurement Planning
- Generative AI for Supply Chain resiliency
- Transformer and Image Processing for Supply Chain Decisions
- Case studies: Retail, CPG, High-Tech
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Week 6: Applications of Generative AI in Revenue Management
- Demand Forecasting and Price Optimization
- Integration of Transformer with Price Optimization
- Case Study: Online Fashion Retailer Zalando