📚 Syllabus & Course Curriculum
Environmental Science & Sustainability
Module-by-module breakdown of Predictive AI Models for Disaster Management and Climate Resilience, from foundations to a certified capstone project.
Outline
Master physics‑informed ML to embed fluid‑dynamic constraints in deep models • Implement Transformer & LSTM time‑series models for sub‑seasonal flood & heat‑wave forecasts • Deploy a Colab project – build a flood predictor with NASA GloFAS data
Outline
Fuse SAR and optical Sentinel imagery to see through clouds during storms • Create automated change‑detection pipelines with Vision Transformers and Siamese networks • Integrate AI‑derived risk maps into ArcGIS/QGIS digital twins for urban adaptation
Outline
Quantize models for edge AI on drones and IoT sensors for offline wildfire detection • Apply SHAP & LIME to generate transparent explanations for evacuation decisions • Address algorithmic fairness to protect vulnerable populations in data‑desert regions
Earn government-registered certification in Predictive AI Models for Disaster Management and Climate Resilience
e-Certificate and e-Marksheet issued on successful completion.
