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Professional Certificate Course | Autonomous Mobility and its Digitalization​

PAVE Europe is collaborating with Technische Universität Berlin (TU Berlin), and EIT Urban Mobility, an initiative of the European Institute of Innovation Technology (EIT), a body of the European Union for this immersive training course on autonomous mobility.

Course Dates

24th April 2025 – 7th May 2025

Course Duration

3 weeks online and 3 days on site at EUREF Campus, Berlin

Application Deadline

Friday 28th February

Language

English

Certification

TU Berlin Certificate of Professional Education (3 ECTS)

Format

Blended learning, assessed and graded

Course Overview

Join industry leaders and experts for an immersive professional training on autonomous mobility. This course is designed to equip you with the latest knowledge and skills in the rapidly evolving field of autonomous vehicles, systems and services and its social, technological and digitalization aspects.

The course places a strong emphasis on presenting the main trends of autonomous vehicles and digitalization. Through close exchange with the lecturers and expert guest speakers, participants will gain specialist knowledge, whilst also working intensively on their own, practical project all along the course.

This certificate course begins with a three-week guided self-study phase, complemented by three virtual sessions (tentatively from 16:00 to 18:00 CET). It will then be followed by three days of immersive, in-person sessions in Berlin, offering an intensive learning experience.

Whether you’re a seasoned professional or new to the industry, this course offers invaluable insights and hands-on experiences to enhance your expertise and career prospects.

Deadline for applications is Friday 28th February 2025.

Please note that the course has a cap of max 15 participants.

Methodology

This course includes a mix of lectures, interactive workshops, hands-on exercises, case studies, and individual projects to provide participants with a holistic learning experience. Participants are encouraged to actively engage in discussions and apply learned concepts to real-world scenarios. The course content is subject to updates based on the latest developments in the field of digitalized transport.

Learning Goals

After the successful completion of the course, participants will be able to:

  • Outline real-world cases, gleaned from European managers and policy makers
  • Analyze and use current and future trends in Autonomous Mobility
  • Evaluate application fields, potentialities (and bottlenecks) in the field
  • Formulate successful, future-oriented thinking about Autonomous Mobility and digitalization of the transport industry

Course Schedule

Virtual Sessions

The course will begin with a three-week guided self-study phase, that will be accompanied by three virtual sessions. They are tentatively scheduled for the dates below between 16:00 to 18:00 CET. Further details will be shared in the upcoming weeks. 

  • Thursday 24th April
  • Tuesday 29th April 
  • Wednesday 30th April 
In-person Sessions

Following the virtual sessions in April, participants will then have the opportunity to join in-person sessions at TU Berlin’s EUREF Campus. The detailed agenda for the in-person sessions can be found below. Lecturers for these sessions will be announced in the upcoming weeks. 

  • Monday 5th May: Foundations of Autonomous Mobility
  • Tuesday 6th May: Development, Regulation, and Market Insights
  • Wednesday 7th May: Societal Impacts, Case Studies, and Hands-on Experience

Foundations of Autonomous Mobility​

Welcome and introduction to the course

Introduction to Autonomous Mobility

  • Participants will gain a comprehensive overview of autonomous mobility, its significance, and its impact on modern transportation.

 

Autonomous Mobility 

  • Overall architecture: Understand the basic structure of autonomous systems.
  • Sensing Technology: Dive into the sensors that make autonomous driving possible, including LiDAR, RADAR, and cameras.
  • Software, AI, and Machine Learning: Explore the cutting-edge algorithms and AI techniques driving autonomous vehicles.
  • Infrastructure and Communication: Learn about the essential infrastructure and V2X communication necessary for autonomous systems.

Development, Regulations and Market Insights​

Development and testing

  • Verification and validation: Learn about the processes for ensuring the reliability of autonomous systems.
  • Operational Domains and Scenarios: Understand the different environments where autonomous vehicles operate.
  • Field Testing: Explore real-world testing methods to validate autonomous technologies.

 

Regulation and Safety Standards

  • National and International Regulations: Stay updated with regulations from NHTSA, EU, UK, UNECE and other bodies.
  • Compliance and Certification Processes: Learn the steps to achieve regulatory compliance.
  • Safety Standards: Study the critical safety standards like ISO 26262.
  • Ethical Considerations and Data Protection: Discuss the ethical implications and data protection issues in autonomous mobility.

 

Business and Market Aspects

  • Market Overview: Analyze key players and market trends.
  • Use Cases and Business Models: Discover various business applications and models for autonomous vehicles.
  • Impact on Employment and Economy: Understand the economic implications and how autonomous mobility will reshape the job market.

Societal Impacts, Case Studies, and Hands-on Experience

Societal Impact

  • Potential Impacts on Society: Discuss how autonomous vehicles will transform daily life and societal structures.
  • Public Perception and Acceptance: Explore strategies to enhance public acceptance of autonomous technologies.
  • Public Engagement and Education: Learn about initiatives to educate and engage the public on autonomous mobility.

 

Case Studies and Real-world Applications 

  • Autonomous passenger vehicles: Investigation of the use and impact of self-driving cars.
  • Autonomous Public Transport: Understand the role of autonomous technology in public transit.
  • Autonomous Freight and Delivery: Explore innovations in autonomous logistics and delivery services.

 

Technical Visit

  • MOIA (VW Group), Berlin: Experience a guided technical visit to MOIA, a leading autonomous mobility service in Berlin, to see real-world applications in action.

How to apply

If you are interested in the course, please apply via the buttons below. Note that there are only 15 places on the course, and places will be given on a first-come, first-served basis.
 
Should you have any questions, please check the FAQs section below, or email us at [email protected].
 
PAVE EU Members Apply Here
Non-Members Apply Here

The course welcomes both seasoned professionals, and those who are new to the industry.

  • English level of at least B2
  • Laptop/PC + headset with microphone

To apply, complete the registration form. If you are unable to do so, please send us an email and we’ll assist you. Please note: the course has a cap of 15 participants.

Participants will receive a TU Berlin Certificate of Professional Education (3 ECTS).

Friday 28th February 2025

Professional Certification Course FAQs

Cooperation

This course is supported by EIT Urban Mobility, an initiative of the European Institute of Innovation Technology (EIT), a body of the European Union. The aim is to positively change the way people move around in cities in order to make them more liveable. You can find more information at eiturbanmobility.eu

This support enables participants to access a special, reduced fee for this TU Berlin Academy and PAVE Europe course.

Joint data processing with PAVE Europe and EIT KIC Urban Mobility S.L

The TU Berlin Academy, TUBS GmbH collaborates with PAVE Europe and EIT KIC Urban Mobility S.L in organizing the course “Autonomous Mobility and its Digitalization”. When conducting the learning activities with PAVE Europe and EIT KIC Urban Mobility S.L, the TU Berlin Academy (TUBS GmbH) acts as a Joint Data Controller together with PAVE Europe and EIT KIC Urban Mobility S.L.

In order to fulfill this purpose we process personal data as described in our privacy policy. Any questions related to ensuring privacy rights in the context of joint continuing education may be addressed to the TU Berlin Academy (see contact details in the privacy policy).

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