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AIM4Mobility: Empowering Mobility Professionals with AI & Machine Learning

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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)
It's not compulsory to enrol in all 4, you can choose courses invidually. 
why aim4mobility?

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
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PARTICIPANTS PROFILE

MASTERCOM addresses all professionals of public and private companies, who feel committed to sustainability and are motivated to transform the commuting patterns at their companies.

This could be:
     Managers of sustainability and Corporate Social Responsibility (CSR)
     Fleet managers
     Human recourses professionals
     Happy management professionals
    Benefits and well-being professionals

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!

If you enrol for all 4 courses you'll get more than a 50% discount. 

Who is AIM4Mobility addressed to?

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.

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

The AIM4Mobility training offers a self-paced, asynchronous format.

Online and asynchronous content

The MOOC courses are delivered in a self-paced, asynchronous format, allowing learners to engage with the material at their convenience.
They comprise a structured sequence of video lectures, complemented by additional support content such as readings or reference materials to deepen understanding.
Learners are periodically assessed through a series of quizzes integrated throughout the course to reinforce key concepts.
The course culminates in a final evaluation designed to test overall comprehension and mastery of the subject matter.

Workshops

AIM4Mobility will have a final workshop event in Lisbon, Portugal where the participants will be able to participate in a tailored activity related to the course. The event will also provide the time and space to network and explore successful inoovation cases across Europe. 

What will the participants get from the course

Through a structured learning journey, participants will:

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.

Participants will leave with the skills, shared frameworks, and practical insights to confidently lead or contribute to AI-powered mobility projects, helping shape the cities of tomorrow.

Enrol for all 4 courses and get a discount!

If you enrol for all 4 courses you'll get more than a 50% discount. 
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Online Course

MASTERCOM has busy professionals in mind!

A central component of the trainingis a four-module, self-pacedonline course.
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Live sessions

Knowledge exchange is key! 

Regular live sessions with experts and educators create a personal and pleasant space for questions and direct exchange. 
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On-Site Event in Barcelona

Focussing REAL-LIFE success stories!

The final event in February 2024 in Barcelona will bring together leading experts from academia and industry, sharing real case success stories. 

Brought to you by:

FACTUAL Consulting

Leading mobility innovation consultancy.

XVAL

Experts in AI solutions for urban systems and education

EIT Urban Mobility

With the support of EIT Urban Mobility, this programme bridges the gap between cutting-edge tech and practical urban challenges.

CERTIFICATE OF COMPLETION

Once you complete the course, you'll have the opportunity to receive a certificate of completion signed by the course organizers, all of whom are recognized in the mobility industry.
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