📚 Syllabus & Course Curriculum
AI & Machine Learning in Healthcare
Module-by-module breakdown of Deep Learning for Earth Observation: From Multi-Terabyte NetCDF to Anomaly Forecasting, from foundations to a certified capstone project.
Outline
Ingest multi‑terabyte NetCDF/HDF5 files using Xarray • Chunk, lazy‑load, and create memory‑safe pipelines • Regrid and interpolate multi‑source climate fields
Outline
Frame anomaly forecasting as a spatiotemporal task • Build and train a ConvLSTM network on climate tensors • Implement windowing, batching, validation, and checkpointing
Outline
Generate interactive heatmaps of forecasted anomalies • Create publication‑ready maps with projections and overlays • Compute RMSE and spatial correlation metrics for research reporting
Earn government-registered certification in Deep Learning for Earth Observation: From Multi-Terabyte NetCDF to Anomaly Forecasting
e-Certificate and e-Marksheet issued on successful completion.
