AI in Mobility
Equipping Leaders to Evaluate, Implement, and Govern AI Applications in Transportation
AI is reshaping how mobility systems are planned, operated, and governed. This course equips participants with the knowledge and strategic tools to evaluate, implement, and govern AI applications in the mobility sector. Combining technical foundations with practical exercises and industry perspectives, the module bridges the gap between AI concepts and management decisions.
Course Content
- Foundations: AI as mobility infrastructure, machine learning, generative AI, Large Language Models (LLMs), and data readiness
- Business & Strategy: AI applications in mobility (e.g. forecasting, optimization, autonomy), AI-enabled business models, implementation strategies, and build vs. buy vs. partner decisions
- Responsible AI: Sustainable mobility, governance, ethics, and the EU AI Act
- Practical Learning: Hands-on exercises, applied projects, industry case studies, and guest lectures
Learning Goals
- Understand the fundamentals of artificial intelligence, machine learning, generative AI, and Large Language Models (LLMs)
- Identify high-impact AI applications across the mobility sector and evaluate their potential to create business, operational, and societal value
- Apply LLMs and prompt engineering techniques to enhance analysis, problem-solving, and managerial decision-making
- Assess AI-enabled business models and implementation strategies for mobility organizations
- Make informed and responsible decisions about AI adoption, considering sustainability, governance, and ethical implications
Participation & Requirements
- Target Group
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This course is designed for professionals interested in the strategic application of AI in mobility.
It is particularly suited for current and future managers, consultants, entrepreneurs, and public-sector professionals who work with or commission AI-driven solutions.
- Prior Knowledge
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No technical background (programming or data science experience) is required.
Participants should have an interest in mobility, digital innovation, and emerging technologies. - Certificate Details
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Certificate of Professional Education of TU Berlin & EIT Urban Mobility (6 ECTS)
Instructors
Prof. Dr. Hamid Mostofi is a professor of data science and artificial intelligence at SRH Berlin University of Applied Sciences and a senior researcher and project manager at TU Berlin, focusing on the application of AI in business and socioeconomic contexts.
His research interest lies in the application of data science techniques and artificial intelligence to sustainability concepts, taking into account social acceptance, perception, and attitude, as well as socio-economic factors.
He completed his PhD at TU Berlin with the grade "Summa cum laude." During his PhD, he worked as a research assistant at TU Berlin and was involved in the projects by the Federal Ministry for the Environment (BMU) and Federal Ministry for Economic Affairs and Climate Action (BMWK).
Currently he is the work package leader of MDZT (Mittelstand-Digital Zentrum Tourismus) funded by Federal Ministry of Economic Affairs and Energy BMWE since 2024 which is working on empowering SMEs by application of AI and digitalisation in Germany. Also. he wasthe visiting researcher by the University of California, Berkeley (UC Berkeley).
University-based continuing education, designed for real-world application
Our courses are developed within the academic departments of TU Berlin and are taught by people who conduct research and work in their respective fields.
The content is drawn from research topics at TU Berlin and beyond and is presented in high-quality course formats.
Apply your knowledge directly in the course and explore your professional challenges and questions.
A certificate of participation from the Technical University of Berlin, a University of Excellence within the Berlin University Alliance.
Recognized as educational leave in Berlin. Employees are granted up to 5 days off from work for continuing education.
„Tailored to our needs and applications. Easy to understand. Great instructor.“