London Maritime Academy is a trade name for London Premier Group

AI Applications in the Maritime Industry

Course Info

Date:

2025-12-29

Length:

10 Days

Type:

In Classroom

Fees:

£ 10800

City:

Athens
Available DatesVenue
2025-09-29Athens
2025-10-06Athens
2025-11-03Athens
2025-12-01Athens
Available DatesOther Venue
2025-09-29London
2025-09-29Dubai
2025-10-20Rotterdam
2025-10-20Hamburg
2025-10-27London
2025-10-27Dubai
2025-11-17Hamburg
2025-11-17Rotterdam
2025-11-24Dubai
2025-11-24London
2025-12-15Hamburg
2025-12-15Rotterdam
2025-12-29Dubai
2025-12-29London

Course Details

  • Introduction

  • Objective

  • Who should attend

  • Course Location

Artificial Intelligence (AI) applications in the maritime industry are redefining how maritime operations are conducted, enhancing efficiency, safety, and sustainability. AI in the maritime industry leverages advanced technologies like machine learning and big data analytics to optimize various aspects, from navigation and route planning to predictive maintenance and environmental monitoring. Through maritime AIS Systems and other AI-driven innovations, the industry is equipped to manage vessels more effectively, reduce operational costs, and support environmentally conscious practices. The growing reliance on artificial intelligence maritime systems underscores the importance of this technology in ensuring the future of safe and efficient maritime operations.


This course, Artificial Intelligence Applications in the Maritime Industry, is designed to provide professionals with essential knowledge and practical skills to understand and apply AI in the maritime context. Participants will learn to harness AI technologies to tackle real challenges such as autonomous navigation, threat detection, and sustainable resource management. The course combines theoretical insights with hands-on projects, ensuring that learners can implement AI strategies and stay at the forefront of technological advancements in the maritime industry.

Course Outline

10 days course
  • Day 1
  • Day 2
  • Day 3
  • Day 4
  • Day 5
  • Day 6
  • Day 7
  • Day 8
  • Day 9
  • Day 10

Fundamentals of AI and Machine Learning


  • Overview of AI, machine learning, and deep learning.
  • Key algorithms and techniques in AI.
  • Introduction to data science and big data analytics.

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