TRAINING PROGRAMME

Advancing AI & LLM Integration for Cities and Public-Sector Mobility Teams

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A practical AI programme for city mobility teams, using LLMs to draft documents, analyse citizen feedback, and navigate EU compliance, with no coding required.
COURSE OVERVIEW

Turning everyday city mobility work into confident, well-judged use of AI.

Master's or PhD students in transport planning, data science, engineering, or urban studies already use LLM tools daily but have never applied them systematically to professional mobility data tasks. They have programming experience in at least one language and foundational knowledge of statistics, but may lack hands-on data analysis experience with Python libraries such as pandas.

The course bridges a specific gap: students who can program but have never used data analysis libraries in practice. Through LLM-assisted workflows, students learn to turn raw mobility data into insights by leveraging LLMs to generate, explain, and debug the data analysis code they have not yet learned to write on their own.

Training Format

Hybrid: online and in-person workshops.

Hours

4-6h

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).

Who is this course for?

Who is AIM4Mobility addressed to?

The course is aimed at city staff working in urban mobility functions such as planners, digital/innovation officers, and communication teams. 

Required skills:
  • Basic computer literacy: ability to use a web browser, work with text documents, and navigate spreadsheets.
  • Working familiarity with at least one type of municipal mobility document (e.g., SUMPs, compliance reports, citizen complaint records
Not required:
  • Programming, data science, or statistics
  • Formal AI/ML knowledge. The course assumes zero structured AI knowledge; learners may have used ChatGPT casually but have no framework for systematic LLM application

Tool requirements: Free-tier, browser-based LLM tools (ChatGPT free, Gemini, Copilot). No paid subscriptions, API access, or locally installed software required.

Interested in learning how to use LLM and AI more effectively in urban mobility?

Enjoy the early bird discount while it lasts. 50€ 25€

Course's objectives

What will the participants get from the course

Through a structured learning journey, mobiLLITY aims to:

Understand

how LLMs work and identify their key limitations in contexts relevant to public-sector mobility professionals.

Draft

policy briefs, public notices, and multilingual communications for different stakeholder audiences.

Use LLMs

to support document production: summarising, comparing, and drafting sections of policy documents and plans.

Evaluate

LLM outputs critically: identifying errors, hallucinations, and reliability limits in a public-sector context.

Apply LLMs

to citizen engagement analysis and regulatory compliance tasks like classifying feedback and extracting obligations from EU directives.

Design

an AI-assisted workflow for a real municipal mobility challenge.

MOBILLITY METHODOLOGY

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

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MobiLLITY for Cities is delivered in two parts: a self-paced online course that every participant completes, and two optional in-person workshops 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

5–6htotal time
6modules
24lectures
  • Micro-lectures, quizzes and applied tasks — no live attendance required
  • Built on real municipal artefacts: SUMPs, EU directives (CVD, AFIR), and the Barcelona IRIS citizen feedback dataset
  • Free-tier, browser-based LLM tools only — no paid subscriptions or installs
  • Certificate on completing 5 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.

Course structure and modules

The course is organised into six modules, following a shared linear path — all sub-profiles take the same modules in the same order, progressing from foundational understanding through applied tasks to critical evaluation and workflow integration.


Total duration: ~5-6 hours | Lectures: 24 | Micro-lecture duration: ~5 minutes

MODULE 1 – LLM Foundations for City Professionals 

This module covers how LLMs work and their limitations, alongside data protection awareness and trust calibration for public-sector contexts.

Key Themes: GDPR primer, redaction techniques, and building an appropriate level of trust in LLM outputs when working with citizen and municipal data.

Outcome: A working understanding of what LLMs can and cannot be trusted to do in a public-sector mobility context.

MODULE 2 – Document Development Support

This module applies LLMs to the document-heavy reality of city mobility work.

Key Themes: Summarising reports and plans, extracting policy commitments, and drafting document sections. Exercises use real mobility planning documents, with a cross-departmental briefing task for realistic coordination practice.

Outcome: Confidence in using LLMs to accelerate document production without losing accuracy or nuance.

MODULE 3 – Citizen Engagement & Regulatory Compliance

Focus: From feedback to obligations

This module tackles two of the highest-impact, lowest-current-adoption task families identified in the cities survey.

Key Themes: Classifying citizen feedback (using the Barcelona IRIS dataset), detecting sentiment patterns, extracting obligations from EU regulations (CVD, AFIR), and mapping requirements to municipal responsibilities.

Outcome: Ability to turn citizen feedback and regulatory text into structured, actionable information.

MODULE 4 – Policy Drafting & Communication

Focus: Writing for different audiences

This module builds on document and compliance skills to produce audience-ready outputs.

Key Themes: Drafting policy briefs, public notices, and multilingual communications, with emphasis on adapting outputs for different stakeholder audiences and maintaining appropriate register.

Outcome: Ability to produce clear, appropriately pitched communications for a range of municipal stakeholders.

MODULE 5 – Verification & Professional Judgment

Focus: Trust but Verify

This module develops the critical evaluation skills needed for public-sector decision-making.

Key Themes: Error detection, hallucination identification, cross-referencing workflows, and systematic evaluation practices.

Outcome: A repeatable approach to verifying LLM outputs before they inform decisions.

MODULE 6 – Capstone (optional Gold Distinction)

Focus: Synthesis and integration

The Capstone is where theory meets a real municipal project, designed for those seeking a Gold Distinction.

Key Themes: Designing an AI-assisted workflow for a real municipal mobility challenge, integrating skills from all five core modules.

Outcome: A tangible, self-directed project demonstrating the complete workflow, from task definition through LLM-assisted execution to critical evaluation.

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 and 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 organisers, all of whom are recognised in the mobility industry.

Interested in learning how to use LLM and AI more effectively in urban mobility?

Enjoy the early bird discount while it lasts. 50€ 25€
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