1. Fundamentals of AI applied to agriculture 2. Collection and analysis of agricultural data (soil, weather, yields) 3. Remote sensing & satellite image analysis (NDVI, Sentinel) 4. AI-based disease & pest detection 5. Harvest forecasting & decision support 6. Solution design