
Applied AI in Shipping and Transportation
This course provides an introduction to the role of Artificial Intelligence (AI) in the shipping and transportation industries. It covers key AI technologies, such as machine learning, autonomous systems, and predictive analytics, and explores how they are applied to optimize maritime operations, logistics, fleet management, and environmental sustainability. The course also examines challenges, ethical considerations, and real-world case studies, offering practical insights into the future of AI in transportation.
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Course Duration:
24 hours
Level:
Beginner to Intermediate
Course Objectives
• Understand the basics of AI and its significance in the shipping and transportation sectors.
• Explore AI applications in maritime operations, logistics, and supply chain management.
• Learn how AI can optimize route planning, fleet management, and port operations.
• Assess the environmental benefits of AI and its role in sustainability efforts.
• Identify the challenges and ethical issues involved in AI implementation.
• Gain hands-on experience with AI tools and case studies.

Prerequisites
• Basic understanding of AI concepts (optional, but recommended).
• Interest in the shipping, logistics, or transportation industry.
• No prior technical knowledge required, though a basic understanding of data science or machine learning concepts is helpful.
