AIM4Mobility: Empowering Mobility Professionals with AI & Machine Learning

XVAL.AI and FACTUAL with the support of EIT Urban Mobility

Location
Language
Type
Online
English
Course, Online
Dates
Price
Deadline
28.08.2025 - 31.12.2025
from €20 (Eearly-bird discount and fully funded scholarships are offered)
31.12.2025
Location
Language
Type
Dates
Price
Deadline
Online
English
Course, Online
28.08.2025 - 31.12.2025
from €20 (Eearly-bird discount and fully funded scholarships are offered)
31.12.2025

About the Programme

Urban mobility is evolving and so are the tools to manage it. As AI reshapes urban mobility, there is a growing need for professionals who can translate data into actionable solutions. AIM4Mobility addresses this gap by delivering: - 6 specialised training modules (4 online + 2 in-person) - 40 hours of intermediate-level content - Real-world case studies & hands-on city data projects AIM4Mobility is a 4-course training programme co-developed by XVAL.AI and FACTUAL, designed to equip urban mobility professionals with practical skills in Artificial Intelligence (AI) and Machine Learning (ML). This program consists of four standalone courses, which you can complete individually or as a full pack. Each course offers its own diploma, and there’s no requirement to take all four, as they’re not directly connected. However, if you enroll in the full program, you’ll receive more than a 50% discount on the total price! 💡 Special offer: Enroll in all 4 courses and get more than 50% off the total price. **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. **Upon course completion, each participant will receive a diploma from the EIT Urban Mobility.** An early-bird discount and fully funded scholarships were offered. To find out more and enroll, click Register below.

Who's Coming

AIM4Mobility equips urban mobility professionals with the knowledge, tools, and collaborative mindset needed to harness the power of AI and Machine Learning. AIM4Mobility is ideal for urban planning, GIS, and data science professionals and students, providing practical, data-driven insights for smarter cities.

About Us

FACTUAL Consulting: Leading mobility innovation consultancy. XVAL: Experts in AI solutions for urban systems and education. With the support of EIT Urban Mobility, this programme bridges the gap between cutting-edge tech and practical urban challenges.
Register