Executive Development Programme in AI for Smart Mobility
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โข Introduction to Artificial Intelligence (AI): Understanding AI fundamentals, history, and current state
โข AI in Transportation: Overview of AI applications in smart mobility, including autonomous vehicles and traffic management
โข Machine Learning (ML): Basic concepts, algorithms, and models, with a focus on their relevance to AI in smart mobility
โข Deep Learning: Advanced neural networks, training techniques, and applications for autonomous vehicles and traffic prediction
โข Computer Vision: Object detection, image segmentation, and visual understanding for intelligent transportation systems
โข Natural Language Processing (NLP): Text analysis, sentiment detection, and conversational AI for passenger experience enhancement
โข Ethics and AI Governance: Responsible AI practices, regulations, and ethical considerations for smart mobility
โข AI Strategy for Business: Designing an AI strategy, implementation roadmap, and change management for organizations adopting AI in smart mobility
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