MBSCAI-200
Level 2
6 hours4 sessions · 1.5 hours each (or 1-day intensive)Building Sustainable Smart Cities with ML
ML for environmental monitoring, smart grids, and resilient infrastructure.
Course overview
Focuses on sustainability — environmental monitoring, smart energy grids, and resilient infrastructure powered by integrated ML models.
Core curriculum
Four themed modules. Each module is a working block of lessons and labs.
1Module 1
Env Sensing
Environmental sensing pipelines and ML on noisy real-world data.
2Module 2
Smart Grids
Forecasting, balancing, and optimizing renewable-heavy grids.
3Module 3
Resilience
ML for resilient infrastructure planning and risk modeling.
4Module 4
Realtime AI
Real-time intelligence platforms that act on city signals.
What you'll gain
- Hands-on ML for environmental data
- Comfort with grid and energy forecasting models
- Risk-modeling techniques for infrastructure
- Realtime ML deployment patterns
Cohort enrollment open
Ready to build with AI?
Schedule a free consultation. We'll help you choose the right track — Builder, Portfolio, Scholar, or Innovation — based on your goals and experience.