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.
Env Sensing
Environmental sensing pipelines and ML on noisy real-world data.
Smart Grids
Forecasting, balancing, and optimizing renewable-heavy grids.
Resilience
ML for resilient infrastructure planning and risk modeling.
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
Available classes
Open classes you can enroll in directly. Each class shows its instructor and weekly schedule.
Not sure which class fits? Reach us from the Contact page.
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.