MBSCAI-100
Level 1
6 hours4 sessions · 1.5 hours each (or 1-day intensive)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.
1Module 1
City Big Data
Smart-city big data, IoT sensing, and the urban data stack.
2Module 2
Mobility AI
Traffic and transportation intelligence with real datasets.
3Module 3
Building & Energy
Smart-building intelligence and energy management with ML.
4Module 4
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
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.