Edge Computing for Maritime Operations Course
Online 300-hour course in edge computing for maritime operations. 6 modules covering IACS UR E26, IACS UR E27 and Docker. Assigned tutor and open enrolment.
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What you will be able to do
Understand edge computing architectures applied to vessels.
Integrate automation data using NMEA, OPC UA and MQTT.
Deploy and manage containerised applications with limited connectivity.
Run AI analytics and inference on onboard devices.
Apply IACS and IEC 62443 cybersecurity requirements.
Design resilient solutions for vessels and offshore platforms.
Develop an edge prototype for a maritime use case.
Who it's for
- Embedded systems engineer who wants to specialise in edge computing for maritime operations.
- Maritime IoT architect who wants to specialise in edge computing for maritime operations.
- Offshore automation engineer who wants to specialise in edge computing for maritime operations.
- OT cybersecurity specialist who wants to specialise in edge computing for maritime operations.
- Edge analytics developer who wants to specialise in edge computing for maritime operations.
- Onboard electrotechnical officer who wants to specialise in edge computing for maritime operations.
- Graduates in engineering or science looking to enter shipping companies.
What you'll work with
- IACS UR E26
- IACS UR E27
- IEC 62443
- IEC 60945
- IEC 61162 (NMEA)
- ISO 19848
- IEC 61511
- DNV-CG-0339 on environmental testing
6 modules · 300 h
1.1Differences between cloud, fog and edge1.2Maritime connectivity constraints1.3Use cases on vessels and platforms1.4Ruggedised onboard hardware1.5Environmental requirements for marine equipment1.6Onboard network architecture1.7Segmentation between IT and OT networks1.8Energy consumption and heat dissipation1.9Equipment lifecycle1.10Practical case: computing inventory of a vessel
2.1NMEA 0183 and NMEA 2000 protocols2.2Modbus, OPC UA and MQTT2.3Ship automation gateways2.4Reading alarm and control systems2.5Vibration and temperature sensors2.6Timestamping and synchronisation2.7Pre-processing and compression2.8Resilient local storage2.9ISO 19848 data model2.10Lab: OPC UA to MQTT gateway
3.1Virtualisation and Docker containers3.2Lightweight Kubernetes with K3s3.3Remote application deployment3.4Updates with limited connectivity3.5Monitoring the edge node3.6Device fleet management3.7Azure IoT Edge and AWS Greengrass platforms3.8Fault tolerance3.9Backups and recovery3.10Practice: deploying a service on K3s
4.1Data stream processing4.2Real-time anomaly detection4.3Compressed AI models4.4Inference with TensorFlow Lite and ONNX4.5Computer vision for deck surveillance4.6Onboard predictive maintenance4.7Data filtering before transmission4.8Model synchronisation with shore4.9Model validation at the edge4.10Workshop: vibration anomaly detector
5.1Cyber-resilience under IACS UR E26 and E275.2IEC 62443 standard for OT systems5.3Identity and certificate management5.4Secure firmware updates5.5Offshore platforms and FPSOs5.6Functional safety and instrumented systems5.7Redundancy and high availability5.8Remote monitoring from shore5.9Edge incident response5.10Practical case: secure architecture for an FPSO
6.1Defining the use case6.2Data and connectivity analysis6.3Hardware selection6.4Software architecture6.5Local processing prototype6.6Security plan6.7Disconnection testing6.8Scaling to the fleet6.9Thesis and presentation6.10Final review with the tutor
How you'll learn
100% online training on the SEIUM Institute campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: students progress at their own pace within the enrolment period, which makes it possible to combine study with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Docker, K3s, Azure IoT Edge, Node-RED, Eclipse Mosquitto, in free, academic or evaluation versions. Practicals are based on real procedures for deploying an edge node with marine sensor data, offline inference of an anomaly model, and resilience testing against loss of satellite link. Assessment is continuous per module, plus the final integrating project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Understand edge computing architectures applied to vessels.
Integrate automation data using NMEA, OPC UA and MQTT.
Deploy and manage containerised applications with limited connectivity.
Run AI analytics and inference on onboard devices.
Apply IACS and IEC 62443 cybersecurity requirements.
Where this takes you
Requirements
- No prior degree is required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient level of Spanish to follow technical standards documentation.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme totals 300 hours spread over 3 to 5 months. That is 10 to 15 hours per week on average, compatible with a full-time job.
You work with Docker, K3s, Azure IoT Edge, Node-RED, Eclipse Mosquitto. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
An own diploma from SEIUM Institute upon passing continuous assessment and the integrating project. It is in-house training, not an official qualification from the Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Check the credit transfer policy when you enrol.
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