Executive Development Programme in AI for Smart Mobility
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Course Details
• Introduction to Artificial Intelligence (AI): Understanding AI fundamentals, history, and current state
• AI in Transportation: Overview of AI applications in smart mobility, including autonomous vehicles and traffic management
• Machine Learning (ML): Basic concepts, algorithms, and models, with a focus on their relevance to AI in smart mobility
• Deep Learning: Advanced neural networks, training techniques, and applications for autonomous vehicles and traffic prediction
• Computer Vision: Object detection, image segmentation, and visual understanding for intelligent transportation systems
• Natural Language Processing (NLP): Text analysis, sentiment detection, and conversational AI for passenger experience enhancement
• Ethics and AI Governance: Responsible AI practices, regulations, and ethical considerations for smart mobility
• AI Strategy for Business: Designing an AI strategy, implementation roadmap, and change management for organizations adopting AI in smart mobility
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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