From Smart Ships to Autonomous Operations
A comprehensive course on how artificial intelligence is transforming the commercial maritime industry. Covers AI fundamentals for maritime applications, AI for navigation and voyage optimization, predictive maintenance and machinery monitoring, AI in port operations and supply chain, autonomous and remote-control vessels, AI for safety risk and decision support, data sensors and maritime digital infrastructure, and ethics regulation and the future of maritime AI. Interactive video lessons, guided reading, and knowledge-check quizzes throughout.
8 modules · 24 lessons · 16 hours
What AI, machine learning, and deep learning are, how they differ from traditional software, and the maritime use cases they enable.
How AI optimises routing for fuel, time, weather, and emissions, and the systems that deliver voyage advice to the bridge.
How AI forecasts equipment failures from sensor data, the architecture of a condition-monitoring system, and the business case.
How AI optimises berth and yard planning, vessel calls, and the end-to-end supply chain from origin to destination.
The levels of maritime autonomy, the technology stack for an autonomous ship, and the current projects and regulatory landscape.
How AI improves safety monitoring, risk assessment, and decision support for the master and the shore office.
The data pipeline from sensor to model, ship-to-shore connectivity, the maritime cloud, and data governance.
The ethical principles for maritime AI, the regulatory landscape, the workforce implications, and the outlook.
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