Applied Artificial Intelligence (AI) in the Maritime Domain: Hands-on and Data Driven Approach

COMING SOON: This course bridges the gap between emerging technologies and the realities of vessel operations, compliance demands, safety expectations, and organisational readiness.

Objectives

The course aims to equip maritime professionals with a practical, hands-on understanding of AI, including GenAI and Agentic AI, using operational datasets, gaining a good understanding of where it fits in fleet operations, and how to adopt it as informed decision makers.

 

Entrance requirements

Basic maritime knowledge

Who should attend:
All maritime professionals (including operational and shipboard staff) working within the maritime and offshore industries


Duration: 2 days (classroom training)

This two day programme equips maritime professionals with the knowledge and confidence to understand, apply, and govern Artificial Intelligence across ship and shore operations. Combining foundational AI literacy with practical maritime use cases, the course bridges the gap between emerging technologies and the realities of vessel operations, compliance demands, safety expectations, and organisational readiness.

Day 1 establishes a shared baseline of AI awareness and introduces participants to essential concepts in AI, machine learning, generative AI, and agentic systems. Through real maritime examples—such as navigation support, predictive maintenance, emissions data management, and safety monitoring—participants gain a clear understanding of where AI creates operational value. The day also deepens capability in image, video, and sensor analytics, addressing environmental constraints unique to maritime settings. It concludes with hands-on generative AI exercises, where participants learn to draft operational content, design effective prompts, and build a simple maritime-focused AI agent while managing risks such as hallucinations.

Day 2 transitions from operational applications to system design, governance, and strategic readiness. Participants explore how AI solutions are built, integrated, and scaled across ship–shore architectures, with a focus on data quality, lifecycle planning, and performance monitoring. The programme also addresses human factors and change management, including crew trust, SMS integration, and the avoidance of uncontrolled “shadow AI.” Governance and cybersecurity considerations are examined in depth, covering safety, bias, cyber threats, ISM alignment, and accountability for AI-assisted decisions. The programme concludes with an exploration of future trends—such as digital twins, autonomy, and the characteristics of AI-ready organisations—alongside a collaborative use case exercise and structured reflection.

By the end of the programme, participants will be equipped with practical skills, governance awareness, and strategic insights to safely, responsibly, and effectively leverage AI for operational efficiency, emissions reduction, and organisational transformation.

The course focuses on:

  • Practical AI Foundations for Maritime
  • Operational AI Use Cases & Emissions
  • Image, Video & Sensor Analytics 
  • Generative AI for Maritime 
  • Building & Integrating AI Systems 
  • Data, Change Management & Human Factors
  • Governance, Risk & Cybersecurity 
  • Future Trends & Strategic Readiness
     

For more information please contact your local Maritime Academy