Building Smart Urban Cities with Machine Learning
Apply machine learning to traffic, transportation, energy, and safety in modern cities.
Course overview
A practical 4-session course on using machine learning for smart urban city management — traffic, transportation, energy, and safety.
Core curriculum
Four themed modules. Each module is a working block of lessons and labs.
City Big Data
Smart-city big data, IoT sensing, and the urban data stack.
Mobility AI
Traffic and transportation intelligence with real datasets.
Building & Energy
Smart-building intelligence and energy management with ML.
Case Studies
Walk through real urban ML deployments and lessons learned.
What you'll gain
- A working mental model of how cities use ML
- Hands-on intro to mobility and energy ML problems
- Familiarity with the smart-city data stack
- A short city-ML pilot proposal
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.