Provides an introduction to the integration of geospatial science and artificial intelligence (GeoAI). Students explore how machine learning and data-driven methods are applied to spatial data, including satellite imagery, spatial point data, and spatiotemporal datasets. The course emphasizes conceptual understanding and low-coding or no-coding approaches to GeoAI workflows, with applications in public health, urban analytics, environmental monitoring, and disaster response.