AI IN SHIPPING

This course explores the transformative role of Artificial Intelligence (AI) in the shipping industry, designed for maritime professionals, fleet managers, and logistics experts. The program covers the fundamental concepts of AI and machine learning and their practical applications in enhancing efficiency, safety, and profitability. Participants will learn how AI is used for predictive analytics to optimize vessel routes, manage maintenance schedules, and improve fuel efficiency. The course also delves into the use of AI in autonomous vessel technology, smart port operations, and automated cargo handling, providing a forward-looking perspective on the digital evolution of the maritime sector.

• Understand the core principles of AI and machine learning relevant to the maritime industry.
• Identify and evaluate the key applications of AI in shipping operations, from route optimization to port management.
• Analyze data and use AI-driven insights to improve vessel performance and reduce costs.
• Assess the benefits and challenges of adopting AI technology for their organization.
• Formulate a strategic plan for integrating AI into existing maritime and logistics workflows.

SOLAS (safety equipment monitoring), MARPOL (environmental monitoring), ISM Code (maintenance and safety management), ISPS Code (security monitoring), STCW (training for new technology), IMO guidelines on autonomous ships (MASS), IMO Guidelines on Maritime Cyber Risk Management (MSC-FAL.1/Circ.3), IMO Resolution MSC.428(98), ISO 19847 and ISO 19848 (Shipboard data servers), ISO 11031 (Ship structures – data).