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Use of AI in Commercial Maritime Industry
Maritime · 16 hours

Use of AI in Commercial Maritime Industry

From Smart Ships to Autonomous Operations

About This Course

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.

What You'll Learn

What Is Artificial Intelligence?
Machine Learning vs. Traditional Software
Maritime AI Use Cases: An Overview
Voyage Optimization: The Problem
How AI Voyage Optimization Works
AI on the Bridge: Navigation & Collision Avoidance
From Preventive to Predictive Maintenance
Condition Monitoring: Sensors & Data
Machine Learning for Fault Detection & Prognostics
The Smart Port: An AI Overview
Berth, Yard & Crane Optimization
Supply Chain Visibility & Forecasting
Levels of Maritime Autonomy
The Technology Stack of an Autonomous Ship
Current Projects & the Regulatory Landscape
AI for Safety Monitoring & Incident Prevention
Risk Assessment & Predictive Safety Analytics
Decision Support for the Master & the Shore Office
The Maritime Data Pipeline
Ship-to-Shore Connectivity
Data Governance, Standards & the Maritime Cloud
Ethical Principles for Maritime AI
The Regulatory Landscape for Maritime AI
The Maritime Workforce & the Future Outlook

Course Curriculum

8 modules · 24 lessons · 16 hours

1

AI Fundamentals for the Maritime Industry

What AI, machine learning, and deep learning are, how they differ from traditional software, and the maritime use cases they enable.

What Is Artificial Intelligence?Machine Learning vs. Traditional SoftwareMaritime AI Use Cases: An Overview
2

AI for Navigation & Voyage Optimization

How AI optimises routing for fuel, time, weather, and emissions, and the systems that deliver voyage advice to the bridge.

Voyage Optimization: The ProblemHow AI Voyage Optimization WorksAI on the Bridge: Navigation & Collision Avoidance
3

Predictive Maintenance & Machinery Monitoring

How AI forecasts equipment failures from sensor data, the architecture of a condition-monitoring system, and the business case.

From Preventive to Predictive MaintenanceCondition Monitoring: Sensors & DataMachine Learning for Fault Detection & Prognostics
4

AI in Port Operations & Supply Chain

How AI optimises berth and yard planning, vessel calls, and the end-to-end supply chain from origin to destination.

The Smart Port: An AI OverviewBerth, Yard & Crane OptimizationSupply Chain Visibility & Forecasting
5

Autonomous & Remote-Control Vessels

The levels of maritime autonomy, the technology stack for an autonomous ship, and the current projects and regulatory landscape.

Levels of Maritime AutonomyThe Technology Stack of an Autonomous ShipCurrent Projects & the Regulatory Landscape
6

AI for Safety, Risk & Decision Support

How AI improves safety monitoring, risk assessment, and decision support for the master and the shore office.

AI for Safety Monitoring & Incident PreventionRisk Assessment & Predictive Safety AnalyticsDecision Support for the Master & the Shore Office
7

Data, Sensors & Maritime Digital Infrastructure

The data pipeline from sensor to model, ship-to-shore connectivity, the maritime cloud, and data governance.

The Maritime Data PipelineShip-to-Shore ConnectivityData Governance, Standards & the Maritime Cloud
8

Ethics, Regulation & the Future of Maritime AI

The ethical principles for maritime AI, the regulatory landscape, the workforce implications, and the outlook.

Ethical Principles for Maritime AIThe Regulatory Landscape for Maritime AIThe Maritime Workforce & the Future Outlook
$195.00USD
16 hours
8 modules · 24 lessons
Certificate of completion
Passing score: 70%