AI Applications in the Maritime Industry training course

Available Dates

Jan-27-2025

Dubai
Feb-24-2025

Dubai
Mar-24-2025

Dubai
Apr-28-2025

Dubai
May-26-2025

Dubai
June-30-2025

Dubai
July-28-2025

Dubai
Aug-25-2025

Dubai
Sep-29-2025

Dubai
Oct-27-2025

Dubai
Nov-24-2025

Dubai
Dec-29-2025

Dubai

Dates in Other Venues

Jan-06-2025

Athens
Jan-20-2025

Rotterdam
Jan-20-2025

Hamburg
Jan-27-2025

London
Feb-03-2025

Athens
Feb-17-2025

Hamburg
Feb-17-2025

Rotterdam
Feb-24-2025

London
Mar-03-2025

Athens
Mar-17-2025

Rotterdam
Mar-17-2025

Hamburg
Mar-24-2025

London
Apr-07-2025

Athens
Apr-21-2025

Hamburg
Apr-21-2025

Rotterdam
Apr-28-2025

London
May-05-2025

Athens
May-19-2025

Rotterdam
May-19-2025

Hamburg
May-26-2025

London
June-02-2025

Athens
June-16-2025

Hamburg
June-16-2025

Rotterdam
June-30-2025

Athens
June-30-2025

London
July-07-2025

Athens
July-21-2025

Hamburg
July-21-2025

Rotterdam
July-28-2025

London
Aug-04-2025

Athens
Aug-18-2025

Hamburg
Aug-18-2025

Rotterdam
Aug-25-2025

London
Sep-01-2025

Athens
Sep-15-2025

Rotterdam
Sep-15-2025

Hamburg
Sep-29-2025

Athens
Sep-29-2025

London
Oct-06-2025

Athens
Oct-20-2025

Rotterdam
Oct-20-2025

Hamburg
Oct-27-2025

London
Nov-03-2025

Athens
Nov-17-2025

Hamburg
Nov-17-2025

Rotterdam
Nov-24-2025

London
Dec-01-2025

Athens
Dec-15-2025

Hamburg
Dec-15-2025

Rotterdam
Dec-29-2025

London
Dec-29-2025

Athens

Course Details

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.

Upon the completion of artificial intelligence in maritime industry course, you will gain valuable information including:

Understand the fundamentals of AI in the maritime industry and machine learning.
Explore the key AI applications in the maritime industry.
Analyze the impact of AI on operational efficiency, safety, and sustainability.
Develop practical skills in applying maritime AIS systems to real-world maritime problems.

Many participants have an interest in unlocking the up-to-date knowledge of AI in the maritime industry. Here are the professionals are including:

Maritime industry professionals
Data scientists and AI engineers
Students and researchers in maritime studies or AI
Policy makers and regulatory bodies

Our courses in Dubai take place at the following locations :

Business Bay Office: Business Bay, ParkLane Tower, Offices 718 - 719

Once you register for this course, we will subsequently send the invoice and course information, including location, trainer, and other logistics.

Pay Attention, Please! The course location is subject to availability; the course time will be precise one week before the course start date! We may change the course location if there is no availability, and we will let you know about the location change once it happens.

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