Smart City AI
Practical ML for urban systems, sustainability, and farming.
A practical smart-city machine-learning track — traffic, energy, environment, and precision agriculture.
Courses in this category
Each course is project-driven and mentor-supported. Click any course to see its full curriculum.
01MBSCAI-1006 hours· 4 sessions · 1.5 hours each (or 1-day intensive)
Level 1Building Smart Urban Cities with Machine Learning
Apply machine learning to traffic, transportation, energy, and safety in modern cities.
Course detail
02MBSCAI-2006 hours· 4 sessions · 1.5 hours each (or 1-day intensive)
Level 2Building Sustainable Smart Cities with ML
ML for environmental monitoring, smart grids, and resilient infrastructure.
Course detail
03MBSCAI-3006 hours· 4 sessions · 1.5 hours each (or 1-day intensive)
Level 3Smart Farming Using Machine Learning
Precision agriculture — higher yield, lower input, sustainable practice through ML.
Course detail
Cohort enrollment open
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