Build AI-powered, sustainable cities with IoT and computer vision.
Aim :
This course equips urban planners, engineers, and policymakers with cutting-edge AI tools to design smarter, greener cities. Covering IoT networks, computer vision (satellite/drone data), and sustainability tech (energy/waste AI), participants will tackle real-world challenges like traffic congestion and climate resilience. Hands-on labs include NVIDIA Metropolis for traffic analysis, IBM Envizi for carbon tracking, and generative AI for urban design. By blending 2024 research (EU AI Act, autonomous microgrids) with ethics, graduates will lead human-centric smart city projects—from AI trash sorting to flood prediction—preparing them for public-sector or tech roles in the $2.5T smart cities market.
Job Opportunity :
Smart City AI Engineer (Siemens, Cisco, Sidewalk Labs)
Urban Data Scientist (Google Dynamic World, ESRI)
Sustainability Tech Lead (Tesla, IBM, Schneider Electric)
IoT Solutions Architect (Bosch, Hitachi)
Policy Advisor (AI & Cities) (UN, World Economic Forum)
Objective :
Deploy AI-IoT sensors (LoRaWAN/NB-IoT) for urban data collection.
Build computer vision models for traffic, waste, and disaster monitoring.
Optimize energy grids with transformer-based load forecasting.
Develop GDPR-compliant facial recognition/Wildlife AI systems.
Simulate digital twin cities using NVIDIA Omniverse.
Apply GNNs for climate risk prediction.
Pitch AI solutions to stakeholders (tech + policy).
Duration :3 Months
Start Date :15/04/2025 -
End Date :22/08/2025
Product Structure :
Month 1: Foundations of Smart Cities & AI-Driven IoT
Week 1:
Introduction to Smart Cities: Global case studies (Singapore, Barcelona, Dubai 2024)
AI-IoT convergence: 5G/6G networks, digital twins, and edge computing trends
Week 2:
IoT Sensors & Data Pipelines
Latest LPWAN protocols (LoRaWAN 2.0, NB-IoT)
AI for predictive maintenance (NVIDIA Metropolis)
Week 3:
AI for Urban Mobility
Computer vision in traffic management (Waymo’s ML-powered signals)
Autonomous vehicle-to-infrastructure (V2I) communication