Course in Generative AI for Shipping Companies and Ports
This course teaches you to use generative artificial intelligence in the daily work of shipping companies, ports and ship agents. You will practise prompting, document analysis and the automation of repetitive tasks, and you will cover data protection and the limits of these models.
Prior knowledge check
These are the skills this programme gives you. Tick the ones you already master and we will tell you which part of the syllabus is for you.
You are starting from scratch in this subject. The programme is designed precisely for that.
What is the Course in Generative AI for Shipping Companies and Ports?
This short course teaches you to use generative artificial intelligence in the daily work of shipping companies, ports, ship agents and logistics firms: drafting and reviewing documentation, analysing contracts and regulations, summarising reports, automating tasks and building internal assistants, with criteria for responsible use, security and data protection.
What sets this course apart: immediate application, with maritime use cases from the first module; no programming required, as it is designed for management and operations profiles; responsible use, covering risks, verification and data protection; productivity, through the automation of repetitive tasks; and a strategic view of how to implement AI in an organisation.
Programme highlights
- Master AI assistant tools.
- Write effective instructions using prompting techniques.
- Automate tasks by applying AI to documentation and analysis.
- Use AI safely, managing risks and sensitive data.
- Lead the adoption of AI within your company.
- Bring generative AI into everyday work in the maritime sector.
Syllabus of the Course in Generative AI for Shipping Companies and Ports
5 modules. Select a module to see its content.
Fundamentals of Generative AI
- 1.1. What generative AI is
- 1.2. Language models and how they work
- 1.3. Capabilities and limitations
- 1.4. Available tools
- 1.5. Use cases in the maritime sector
Prompting Techniques
- 2.1. Structure of a good instruction
- 2.2. Context, examples and format
- 2.3. Iterating and improving results
- 2.4. Reusable templates
- 2.5. Common mistakes
Applications in Operations and Documentation
- 3.1. Drafting emails and reports
- 3.2. Summarising technical documentation
- 3.3. Analysis of charter parties
- 3.4. Consulting maritime regulations
- 3.5. Technical translation
Data, Automation and Assistants
- 4.1. Data analysis with AI
- 4.2. Workflow automation
- 4.3. Internal assistants using your own documents
- 4.4. Integration with company tools
- 4.5. Measuring results
Responsible Use and Implementation
- 5.1. Verification and hallucinations
- 5.2. Data protection and confidentiality
- 5.3. Intellectual property
- 5.4. Company usage policies
- 5.5. Implementation plan: case study
Duration and format of the Course in Generative AI for Shipping Companies and Ports
It is 300 hours. Tell us how many you can study each week and we will tell you when you will really finish.
This is the pace at which most students finish. It fits well with the instalment plan.
Academic leadership and faculty
The Navalis teaching team: working professionals who teach and supervise the programmes.
Dra. Marina AlcoverAcademic Director and Head of Quality Assurance
Ing. Diego CifuentesSenior Lecturer in Naval Welding and Non-Destructive Testing; Head of QA/QC for Welded Joints
Cap. Javier Abaroa (MCA)Senior Lecturer in Ship Handling, Electronic Navigation (ECDIS/Radar/ARPA) and GMDSS; STCW Compliance and Bridge Resource Management Coordinator
Dr. Pau FerrerSenior Lecturer in Naval Architecture and Simulation; Director of the Hydrodynamics and CFD Laboratory
Dra. Nuria LlobregatSenior Lecturer in Marine Meteorology, SAR and Operational Safety; Navigation Risk Management Coordinator
Ing. Javier BañulsSenior Lecturer in Electrical Engineering, Automation and ETO Engineering; Electronic Integration and Engine Alarms Coordinator
Ing. Sofía MarquinaSenior Lecturer in Materials, Composites and Corrosion Protection; Coordinator of the Advanced Paints and Coatings Line
Ing. Tomás RieraSenior Lecturer in Propulsion, Alternative Energy and Hybrid Systems; Energy Performance and Vibration CoordinatorObjectives of the Course in Generative AI for Shipping Companies and Ports
Career opportunities after the Course in Generative AI for Shipping Companies and Ports
Questions about the Course in Generative AI for Shipping Companies and Ports
No. The course is designed for business and operations users.
Generative AI assistants commonly used in companies; the method works for any of them.
Yes. A complete module is devoted to responsible use and confidentiality.
Yes. All the exercises use documents and situations from shipping companies and ports.
An implementation plan for generative AI for your organisation.
100% online, with a virtual campus available 24/7, live sessions that are recorded and tutorials with the teaching staff.
The programme has a workload of 300 hours. You can progress at your own pace within the schedule we give you when you enrol.
Each programme has its own start date, which appears on this page and is confirmed by the admissions team when you request information.
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Admission process
No waiting for a call back. If your documents are in order, you can enrol in the same session.
- Profile: no prior technical knowledge is required. Experience or interest in the maritime, port or logistics sector is recommended.
- Language: sufficient command of the language of instruction to follow the classes; basic technical English is recommended.
- Technical resources: a computer with a stable internet connection, an up-to-date browser and a camera for live sessions and project presentations.
- Admission: online application, review of your profile and a short interview with the academic team.
- 01ApplicationYour details, background and documents.
- 02Instant reviewWe check that everything is complete and in order.
- 03EnrolmentChoose full payment or instalments and reserve your place.
Admission is provisional until the committee validates the documents provided. If you do not meet the requirements, the full amount is refunded.
Ask us before you enrol
Leave your details and admissions will write to you to answer any questions. If you are already sure, you can apply and pay in the same session.