AIM4Mobility: Empowering Mobility Professionals with AI & Machine Learning


Urban mobility is evolving and so are the tools to manage it.
AIM4Mobility is made up for 4 courses
Tools and Techniques for Geospatial ML
This course teaches geospatial data analysis with Python to tackle urban mobility challenges, using OSM data and spatial tools.
Fundamental Trends of AI & ML
The couse covers applications like demand forecasting, traffic optimisation, and autonomous vehicles, as well as key tools, challenges, and ethical issues.
Predictive Modeling and Demand Forecasting
This course teaches how to build and apply predictive models in urban mobility using AI and ML.
AI Challenges & Ethical Considerations
Introduction to ethical principles for AI in urban mobility, covering oversight, accountability, data governance, and fairness.
Enrol for all 4 courses and get a discount!
Who is AIM4Mobility addressed to?

Training Format
Self-paced course.
Duration
40 hours
Language
English
Certificate of completion
Upon course compeltion, each participant will recieve a diploma from the EIT Urban Mobility.
FORMAT OF THE COURSE
What will the participants get from the course
Understand
Core AI/ML Concepts relevant to smart and sustainable urban mobility.
Explore
Real-World Use Cases including demand forecasting, geospatial analysis, predictive modeling, and ethical considerations.
Build
a Common Language that bridges gaps between data scientists, planners, policymakers, and transport professionals—enabling effective collaboration.
Enrol for all 4 courses and get a discount!
Brought to you by:
CERTIFICATE OF COMPLETION
This project is supported by EIT Urban Mobility, an initiative of the European Institute of Innovation and Technology (EIT), a body of the European Union. EIT Urban Mobility acts to accelerate positive change on mobility to make urban spaces more liveable. Learn more: eiturbanmobility.eu