AI Applications in the Maritime Industry

Course Info

Length: 2 Weeks

Type: Online

Available Dates

Fees

  • Jan-13-2025

    5,050

  • Feb-10-2025

    5,050

  • Mar-10-2025

    5,050

  • Apr-14-2025

    5,050

  • May-12-2025

    5,050

  • June-09-2025

    5,050

  • July-14-2025

    5,050

  • Aug-11-2025

    5,050

  • Sep-08-2025

    5,050

  • Oct-13-2025

    5,050

  • Nov-10-2025

    5,050

  • Dec-08-2025

    5,050

Course Details

Course Outline

10 days course

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.

The Maritime Industry Landscape~


  • Overview of the maritime industry.
  • Key challenges and opportunities.
  • Historical evolution and technological advancements.


Autonomous Vessels


  • Artificial Intelligence in maritime industry and in autonomous shipping.
  • Case studies: Autonomous ships and their real-world applications.
  • Regulatory and ethical considerations.

Predictive Maintenance


  • Machine learning for equipment maintenance.
  • Predictive analytics and IoT in vessel maintenance.
  • Case studies: Success stories in predictive maintenance.

Enhancing Maritime Safety


  • AI in navigation and collision avoidance.
  • Machine learning for safety incident prediction and prevention.
  • Case studies: Safety improvements through AI.


Maritime Security


  • AI applications in maritime surveillance and threat detection.
  • Cybersecurity in the maritime industry.
  • ase studies: AI-driven security solutions.

Optimizing Maritime Logistics


  • AI for route optimization and fuel efficiency.
  • Supply chain management and logistics optimization.
  • Case studies: AI in maritime logistics.

Optimizing Maritime Logistics


  • AI for route optimization and fuel efficiency.
  • Supply chain management and logistics optimization.
  • Case studies: AI in maritime logistics.
  • AI applications in smart ports.
  • Automation and AI in cargo handling.
  • Case studies: Transforming port operations with AI.

AI for Environmental Monitoring


  • AI in ocean and climate monitoring.
  • Sustainable practices and emission reduction through AI.
  • Case studies: Environmental impact mitigation using AI.
  • AI for compliance with environmental regulations.
  • Data analytics for reporting and transparency.
  • Case studies: Regulatory compliance facilitated by AI.

Hands-on Project


  • Participants will work on a real-world problem in the maritime industry.
  • Application of AI techniques learned throughout the course.

Future Trends and Career Opportunities


  • Emerging AI artificial intelligence in the maritime industry.
  • Future trends and their potential impact.
  • Career opportunities and skills needed for AI in maritime.
  • Project: A final hands-
  • Certification: Certificate of completion upon successful completion of the course