TRAINING PROGRAMME

Advancing AI & LLM Integration for Cities, Academics, and Industry

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MOBILLITY is a 4-course training programme that combines applied, real-world learning with mobility-specific use cases. It enables participants to turn data, documents, and workflows into actionable insights with AI and LLM.
COURSE OVERVIEW

Bridging the gap between urban infrastructure and artificial intelligence.

MobiLLITY aims to close a real skills gap: mobility professionals, cities, and academics already work with large volumes of data, but they often lack the practical know-how to use AI and LLMs effectively.

We bridge the training gap by applying AI to core mobility tasks like policy analysis and urban planning. Our courses move users beyond basic chatbots toward professional, systematic workflows that make AI a practical tool for everyday mobility work.

Training Format

Hybrid: online and in-person workshops.

Duration

May to November 2026
Universities - May
Companies - July
Cities - September

Hours

20h (4-6h per course)

Language

All training will be in English, with Portuguese and Spanish translations available.  

Certificate

A certificate from EIT Urban Mobility. is awarded upon completion of the online course(s).

Choose the MobiLLITY course that better fits your role

Choose one of the tailored courses and, if want to dive deeper into AI Automation, apply to AI-assisten automation, which is a separate course.
CHOOSE THE COURSE THAT BETTER FITS YOUR ROLE
OPEN TO EVERYONE

Course tailored for universities

Empowers students and faculty to transform academic research into actionable, real-world urban solutions.

Course tailored for Cities

The course provides officials and planners with the strategic insights needed to build smarter, more inclusive transit networks.

Course tailored for companies

The course scales innovation by connecting mobility tech and startups with the industry’s most influential decision-makers.

AI-Assisted Automation

This course teaches how to automate repetitive tasks, work with data files programmatically, and connect to AI tools via APIs

Course's objectives

What will the participants get from the course

Through a structured learning journey, mobiLLITY aims to:

Help

participants understand how LLMs work and where they can be useful in urban mobility.

Build

practical skills for solving mobility tasks such as policy support, citizen engagement, document drafting, and reporting.

Teach 

participants to use LLMs for data exploration, cleaning, analysis, and visualisation with real mobility datasets.

Improve

the ability to evaluate AI outputs critically and spot errors or unreliable answers.

Introduce

simple Python-based automation to go beyond chat tools and streamline repetitive work.

Empower

participants to confidently apply AI in professional contexts, bridging the gap between theory and real-world practice.

MOBILLITY METHODOLOGY

A two-part journey: learn online, then apply it in person.

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Each MobiLLITY course is delivered in two parts: a self-paced online course that every participant completes, and an optional in-person workshop that participants can add after completing at least one online course.

MODULES

Step 1 · For everyone

The online course

Self-paced — everyone completes this part

~6htotal time
8modules
31lectures
  • Micro-lectures, quizzes and hands-on coding exercises in Google Colab — no live attendance required
  • Built on real artefacts: Eurostat KPIs, GTFS feeds, CSV fleet records, and mobility text corpora
  • AI coding assistants throughout; API access (OpenAI, Anthropic) required for the automation modules
  • Certificate on completing 7 core modules + exam; optional capstone earns Gold distinction
Step 2 · Optional
Optional

The in-person workshops

Apply what you've learned, face to face

2cities
~8heach, full day
Limitedavailability
  • Prerequisite: completion of at least one MobiLLITY online course
  • Two workshops – Lisbon, Portugal (30 September 2026) and Las Rozas, Spain (12 November 2026)
  • Full-day, in person — limited availability
  • Hands-on application of your AI and data skills to real challenges
See full workshop details

MobiLLITY does not cover travel costs.

Who can enrol?

Who is AIM4Mobility addressed to?

The course is aimed at professionals working in the urban mobility ecosystem. This includes:
  • city officials and policymakers
  • mobility consultants and experts 
  • transport operators and municipal staff
  • technology providers, startups, and scale-ups.

As the future of the workforce, we also designed the course for university students in engineering, urban planning, and data science.

WORKSHOPS

Apply what you've learned online, in person.

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Both workshops are full-day, hands-on sessions open to any MobiLLITY audience once you've completed at least one online course. The workshops are optional, and availability is limited, so register early. If you're interested, you can choose between Lisbon or Las Rozas, whichever works better for you. 

MODULES

Workshop 1 30 September 2026

Lisbon, Portugal

Developed with ANSR, Portugal's road safety authority — turning institutional mobility and road safety data into clear visual outputs and stakeholder-ready communications.

Format
In person, full day (~8h)
Participants
Limited availability
Language
Portuguese
Data used
ANSR & public road safety data
The day in four stages
  1. 1 Data preparation — cleaning and structuring data with LLM help
  2. 2 Exploratory analysis — natural-language queries to surface patterns
  3. 3 Visualisation & communication — charts and outputs for decision-makers
  4. 4 Data privacy & responsible use — redaction and what free-tier tools can see
Workshop 2 12 November 2026

Las Rozas, Spain

Teaches a general data analysis workflow, then gives mixed teams the space to apply it to their own professional role.

Format
In person, full day (~8h)
Participants
Limited availability
Language
English
Data used
Eurostat KPIs, GTFS feeds, Barcelona IRIS
A two-part day
  1. 1 Shared foundation (~4h) — everyone works the same data analysis pipeline together
  2. 2 Role-specific application (~4h) — small groups apply it to their own domain (planning, communications, policy, operations)

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

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