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AIM4Mobility: Tools and Techniques for Geospatial ML

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A hands-on course that delves into geospatial data science for urban mobility, equipping learners with Python-based data analysis and visualization skills to tackle real-world transportation challenge
PROFESSIONAL TRAINING COURSE

Urban mobility is evolving and so are the tools to manage it.

Tools and Techniques for Geospatial Machine Learning is a hands-on, self-paced course designed to equip professionals and students with the skills to harness geospatial data for smarter transportation solutions.
Through practical applications of Python, OpenStreetMap, and machine learning techniques, participants will gain the expertise to analyse, visualise, and interpret urban mobility data, driving data-informed decisions for more sustainable and efficient cities.

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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

Training Format

Self-paced course.

Duration

8 hours (considering theoretical and practical tasks)

Language

English

Certificate of completion

Upon course compeltion, each participant will recieve a diploma from the EIT Urban Mobility.

Who is AIM4Mobility addressed to?

AIM4Mobility is ideal for urban planning, GIS, and data science professionals and students, providing practical, data-driven insights for smarter cities.

  • Urban Planning and Transportation Professionals.
  • Students in Urban Planning, GIS, or Related Fields.
  • GIS Professionals in Municipalities or Transportation Agencies.
  • Data Scientists and AI Practitioners Interested in Geospatial Applications

What will the participants get from the course

By the end of this course, learners will be able to:

Apply

data science techniques to work on real-world urban mobility challenges.

Integrate

OpenStreetMap (OSM) and other open geospatial data sources to enhance mobility analyzes and applications.

Process and analyse

geospatial datasets using Python and machine learning libraries.

Understand 

spatial clustering and geospatial machine learning methods for identifying mobility patterns and urban analysis.

Use

spatial data visualization techniques to communicate mobility insights and trends effectively.
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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. 

MODULES

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AIM4Mobility is made up for 4 courses

Enrol in all four courses and get a +50% discount. More info >

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.

Want to learn more about the AIM4Mobility course?

Visit the main page of the course which explains the AIM4Mobility framework, format and detailed information of all four courses. 
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