Certificate in AI Applications: Transport Impact
-- ViewingNowThe Certificate in AI Applications: Transport Impact is a crucial course designed to equip learners with essential skills in AI applications for the transport sector. This program highlights the importance of AI in addressing transport challenges and improving efficiency in the industry.
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โข Introduction to AI & Machine Learning: Fundamentals of Artificial Intelligence and Machine Learning, including key concepts, algorithms, and techniques.
โข AI in Transportation Systems: Overview of AI applications in transportation, including traffic management, autonomous vehicles, and public transit optimization.
โข Computer Vision for Transport: Image and video processing techniques for transportation applications, such as license plate recognition, pedestrian detection, and traffic sign classification.
โข Natural Language Processing in Transport: Text analysis and understanding for transportation applications, such as sentiment analysis of customer feedback, chatbots for customer service, and text summarization for incident reports.
โข Reinforcement Learning for Transport: Techniques for training autonomous vehicles, including Q-learning, Deep Q-Networks, and Proximal Policy Optimization.
โข AI Ethics in Transport: Ethical considerations for AI applications in transportation, including privacy, bias, and transparency.
โข AI Hardware for Transport: Overview of hardware requirements for AI applications in transportation, including GPUs, TPUs, and edge devices.
โข AI Deployment in Transport: Best practices for deploying AI applications in transportation systems, including model validation, data privacy, and security.
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