📚 Syllabus & Course Curriculum
Environmental Science & Sustainability
Module-by-module breakdown of AI for Urban Analytics, Smart Cities and Climate-Responsive Planning, from foundations to a certified capstone project.
Outline
Introduce urban analytics concepts and data‑driven city planning • Explain AI’s role in heat‑mapping, mobility, and climate adaptation • Map urban datasets and create indicator matrices using QGIS
Outline
Analyze satellite‑derived temperature and vegetation indices in Google Earth Engine • Identify heat‑prone and climate‑vulnerable zones • Conduct land‑use intelligence workflows with Python and QGIS
Outline
Perform mobility pattern analysis for smart‑city decision‑making • Visualize movement and spatial data with Kepler.gl • Build interactive dashboards that integrate heat, land‑use, and mobility indicators for climate‑responsive planning
Earn government-registered certification in AI for Urban Analytics, Smart Cities and Climate-Responsive Planning
e-Certificate and e-Marksheet issued on successful completion.
