Executive Development Programme in AI & Smart Transportation

• Introduction to Artificial Intelligence (AI): Understanding AI technologies, principles, and applications
• AI in Transportation: Exploring AI use cases in smart transportation, such as autonomous vehicles and predictive maintenance
• Machine Learning (ML): Learning ML algorithms, evaluation metrics, and deep learning for transportation data analysis
• Transportation Data Management: Handling transportation data, data pre-processing, and data governance
• Computer Vision for Transportation: Implementing computer vision techniques for traffic monitoring, incident detection, and fleet management
• Natural Language Processing (NLP) in Transportation: Utilizing NLP for sentiment analysis, chatbots, and virtual assistants
• Ethics and AI in Transportation: Examining ethical considerations, regulations, and the impact of AI on transportation jobs
• AI Project Management: Managing AI projects, from ideation to implementation, and scaling AI solutions in transportation