The Urban AI MOOC is a dynamic and self-paced six-week course offering a comprehensive exploration of key topics in urban artificial intelligence, from smart cities to equity in urban planning. Designed for both students and practitioners, the course aims to familiarize participants with Urban AI applications in Africa. In the Urban AI MOOC, our goal is to acquaint learners with the fundamental concepts of Urban AI and the principles that underlie smart cities. Over the course of six weeks, we aim to guide our learners through diverse modules, covering topics ranging from Urban AI basics to exploring equitable cities, understanding the global Urban AI ecosystem, examining real-world case studies, engaging with Africa-based AI experts, and discussing policies to foster Urban AI adoption.
The course is structured into 6 weeks covering 6 modules. Module 1 introduces fundamental concepts, exploring urbanization trends and AI's role in shaping smart cities. Module 2 delves into socio-technical solutions, justice-driven urbanism, sustainability, spatial equity, and ethical considerations surrounding AI. Module 3 explores AI regulations, addressing challenges and solutions. Module 4 focuses on practical applications in mobility, infrastructure, urbanism, and environment. Module 5 offers insights from industry leaders, showcasing Urban AI projects in Africa. Finally, Module 6 examines smart city policies, national AI strategies, and key factors for successful urban AI policies.
The Urban AI MOOC is designed for a broad audience and open for both students and practitioners with diverse backgrounds and experiences, as long as they are familiar with urban concepts, and interested in the intersection between Urban AI and smart city development in Africa.
Principal Investigator of the Urban AI MOOC, Professor at the Urban Design and Planning Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt, and Founder of the Smart and Future Cities Laboratory for Sustainable Urban Solutions (SFCL), Cairo, Egypt.
Principal Investigator of the Urban AI MOOC, and Assistant Professor and Researcher at the Faculty of Engineering, Ain Shams University, Cairo, Egypt.
Assistant Lecturer at the German University in Cairo, Egypt, Master's Degree holder in Architecture, and Researcher.
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The course is designed for both students and practitioners interested in the intersection of Urban AI and smart city development in Africa.
No specific background knowledge is required. The course is open to individuals with diverse backgrounds. Basic computer literacy and an interest in urban concepts are beneficial.
The course spans six weeks, with each week involving one to two hours of engaging activities. Participants can progress at their own pace within the six-week timeframe.
Yes, participants who successfully complete the course requirements will receive a certificate of completion.