Dr. Marina AlcoverAcademic director focused on measurable results and operational excellence in maritime education. Integrates IMO/STCW regulations and ISO 21001/9001 f
Course · 300 h · 5 modules
Introduction to Marine AI Course
Immerse yourself in the future of navigation and maritime management. Discover how artificial intelligence is revolutionizing the sector, from route optimization and maintenance prediction to improved safety and process…
Duration300 h
FormatOnline
Starts7 December
Places20 / 20
Prior knowledge
Prior Knowledge Assessment
These are the skills this programme builds. Tick the ones you already have and we will tell you which part of the syllabus is really for you.
Your profile
Tick what you already know to see your result.
Programme overview
What is the Introduction to Marine AI Course?
Immerse yourself in the future of navigation and maritime management. Discover how artificial intelligence is revolutionizing the sector, from route optimization and maintenance prediction to improved safety and process automation. This course provides you with a solid foundation for understanding and applying AI technologies in the marine environment, preparing you for the challenges and opportunities of tomorrow. You will learn about machine learning, computer vision, and natural language processing, and how they apply to practical cases in the naval industry.
Differential Advantages
- Real-world case studies: analysis of concrete examples of AI applications in navigation and port management.
- Tools and platforms: familiarization with the main AI tools and platforms used in the maritime sector.
- Industry experts: classes taught by professionals with experience in applying AI in the naval field.
- Project development: opportunity to develop practical projects to apply the knowledge acquired.
- Networking: contact with other professionals and companies in the sector interested in marine AI.
Programme type
Course
Study mode
Online
Duration
300 hours
Modules
5
Start date
08-12-2026
Programme highlights
- Marine AI Fundamentals: Master the key concepts and their application in the maritime sector.
- Case Studies: Learn with real-world examples how AI optimizes navigation, safety, and efficiency.
- Tools and Platforms: Discover the leading technologies for implementing AI solutions in marine environments.
- Marine Data Analysis: Acquire skills to interpret and utilize oceanographic and hydrographic data.
- Future of AI at Sea: Explore emerging trends and career opportunities in this innovative field.
- Boost your career with the course that prepares you for the technological revolution in the maritime industry.
Curriculum
Programme Structure
The programme is structured in 5 modules, listed below in order of study.
01
Fundamentals of artificial intelligence and its application in the marine sector
- Introduction to Artificial Intelligence (AI): Definition, AI types (weak and strong AI) and general applications
- History of AI in the Navy: Evolution of Technologies and their Impact on the Maritime Industry
- Key concepts in AI: machine learning, neural networks, evolutionary algorithms and optimisation algorithms
- AI applications in the Navy: route optimisation, predictive maintenance, autonomous navigation, and more
- Navy AI Enabling Technologies: Sensors, IoT, Big Data, and Cloud Platforms
02
Autonomous navigation and AI systems for boats
- Principles of autonomous navigation: definition, components and levels of autonomy (from assisted control to without human intervention)
- Sensors and systems of perception: radar, lidar, sonar, cameras and computer vision systems for autonomous navigation
- Decision-making algorithms for autonomous navigation: route planning, obstacle avoidance and trajectory control
- Integration of AI with control systems: control of navigation and autonomous response to changing conditions of the environment
- Autonomous navigation simulations and tests: verification, validation and certification of autonomous systems
03
Predictive maintenance and fleet management with AI
- Predictive maintenance in the Navy: how AI can predict failures and optimise boat maintenance schedule
- Sensors for continuous monitoring: analysis of vibrations, temperature, pressure and other metrics to detect anomalies
- Analysis of historical data for prediction of failures: how AI uses large volumes of data to anticipate repair needs
- Fleet management software: platforms that integrate AI to optimise the management and maintenance of marine fleets
- Reduction of operating costs through AI: Resource optimisation, reduction of downtime and improvement of operations efficiency
04
Sensors, robotics and predictive analysis Optimisation of marine routes with IAO.
- Marine route optimisation algorithms: definition, types of algorithms and their application in the maritime industry
- Factors affecting route planning: weather conditions, maritime traffic, fuel costs and operational efficiency
- Use of AI for weather forecasting and marine phenomena: integration of real-time weather data for decision making
- Fuel-saving routes: how AI helps to choose the most efficient routes and reduce environmental impact
- Real-time monitoring: How AI adjusts routes based on changing conditions like storms, currents, and traffic congestion
05
Implementation of AI in the Navy: Challenges and Future
- Design and implementation of AI systems in the Navy: steps, tools and platforms necessary for successful implementation
- Integration of AI with existing infrastructures: How traditional navigation and control systems are integrated with AI-based solutions
- Challenges in the adoption of AI in the maritime sector: costs, lack of infrastructure, interoperability and resistance to change
- Legal and regulatory aspects: maritime laws, regulation on autonomous AI and ethical aspects related to autonomous decision-making
- The Future of AI in the Navy: Advances in Artificial Intelligence, Autonomous Vehicles and the Evolution to the "Smarine Marine"
Workload
Study Time and Workload
300 hours of study, online and at your own pace. Move the slider to the hours a week you can really put in.
Hours a week8
Weeks to finish—
You finish around—
Who it is for
Naval engineers and marine architects looking to integrate AI into the design and optimization of vessels, exploring new frontiers in efficiency and safety.Merchant marine officers and fleet operators interested in leveraging AI for autonomous navigation, predictive maintenance, and optimized route management.Software developers and data scientists wanting to specialize in the development of A
Faculty
Academic direction and faculty
The teaching team at Navalis: working professionals who deliver and oversee the institute's programmes.
Eng. Diego Cifuentes
Cap. Javier Abaroa (MCA)
Dr. Pau Ferrer
Dr. Nuria Llobregat
Eng. Javier Bañuls
Eng. Sofía Marquina
Eng. Tomás Riera
Verified reviews
Student Reviews
Reviews collected and verified by Opynio, not written by us.
Outcomes
Learning Outcomes
- 01Optimize navigation and maritime safety
- 02Automate the identification and tracking of marine objects
- 03Implementing predictive maintenance systems on vessels
- 04Improve operational efficiency and environmental sustainability
- 05Develop predictive models for fisheries resource management
- 06Design algorithms for the detection and mitigation of marine environmental risks
Careers
Career Opportunities
01Software Developer for Autonomous Marine Systems: Design, programming, and testing of AI algorithms for vessel navigation and control.
02Marine Data Engineer: Collection, processing, and analysis of large volumes of oceanographic and maritime data to improve efficiency and safety at sea.
03Machine Vision Specialist for Marine Applications: Development of systems for detecting and recognizing objects in the water (vessels, obstacles, marine life) using AI.
04AI Consultant for the Maritime Industry: Advising shipping companies, ports, and other organizations on the implementation of AI solutions to optimize operations and reduce costs.
05Marine AI Researcher: Development of new AI algorithms and techniques to address specific challenges of the marine environment, such as current prediction, oil spill detection, and marine life monitoring. Marine.
06Marine AI Systems Maintenance Technician: Diagnosing and repairing AI equipment and software used in autonomous vessels and coastal monitoring systems.
07Marine AI Risk Analyst: Assessing and mitigating risks in maritime transport using AI-based predictive models.
08Marine AI Systems Cybersecurity Specialist: Protecting autonomous systems and maritime communication networks against cyberattacks.
09```
Questions
Entry Requirements
Marine AI studies the application of artificial intelligence to problems and challenges related to the ocean.
Yes. The itinerary includes ECDIS/Radar-ARPA/BRM with harbor, ocean, fog, storm, and SAR scenarios.
Online with live sessions; hybrid option for simulator/practical placements through agreements.
Prediction of optimal navigation routes to reduce fuel consumption and emissions.
Recommended functional SMCP. We offer support materials for standard phraseology.
Yes, with a relevant degree or experience in maritime/port operations. The admissions interview will confirm suitability.
Optional (3–6 months) through Companies & Collaborations and the Alumni Network.
Simulator practice (rubrics), defeat plans, SOPs, checklists, micro-tests and applied TFM.
A degree from Navalis Magna Institute + operational portfolio (tracks, SOPs, reports and KPIs) useful for audits and employment.
Online admissions
Admissions Process
No waiting for a phone call. If your documents are complete, you can pay in the same session.
Entry requirements
Academic/Professional Profile:Basic programming skills (Python preferred); or professional experience in the maritime/naval sector.Language proficiency:Technical English is recommended to understand AI documentation and algorithms.Documentation:Updated CV, cover letter, (optional) certificate of programming courses or experience in the maritime sector.Technical requirements (for online):Computer with internet access, programming software (Anaconda recommended), (optional) GPU to accelerate processing.```
Questions?
Frequently Asked Questions
Leave your details and admissions will write back. If you already know this is the one, go straight to the application and pay in the same session.