
Navigation Systems Automation Course
coursePrepares you to master the technologies that define the future of maritime navigation. Learn to optimize the efficiency, safety, and sustainability of naval operations through the implementation and management of…
Prior Knowledge Assessment
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What is the Navigation Systems Automation Course?
The Navigation Systems Automation
course
Prepares you to master the technologies that define the future of maritime navigation. Learn to optimize the efficiency, safety, and sustainability of naval operations through the implementation and management of automated systems. This program immerses you in the world of advanced sensors, predictive control, data integration, and maritime cybersecurity.
Differentiating Advantages
- In-depth Applied AI: Data analysis to optimize routes, predict failures, and improve decision-making.
- Advanced Simulations: Experiment with real and virtual scenarios to put your knowledge into practice in safe environments.
- Naval Cybersecurity: Protect automated systems from cyber threats and ensure the integrity of critical information.
- Up-to-date Regulatory Framework: Understand international regulations and industry standards related to maritime automation.
- Networking with Experts: Interact with leading professionals in the industry and expand your network in the naval sector.
Programme highlights
- Automation Fundamentals: Master the key principles and emerging technologies in autonomous navigation systems.
- Tools and Software: Learn to use simulation software and development tools to create control algorithms.
- Control Algorithms: Implement and optimize algorithms for trajectory control, obstacle avoidance, and autonomous decision-making.
- Sensor Integration: Become familiar with integrating sensors (GPS, IMU, cameras) for real-time environmental perception.
- Project Development: Apply your knowledge to practical projects, from simulation to implementation in real prototypes.
- Increase your competitiveness in the job market and lead the next generation of intelligent navigation systems.
Programme Structure
The programme is structured in 5 modules, listed below in order of study.
Fundamentals of nautical automation, assisted navigation and intelligent systems on board
- Concept of automation of navigation systems and differences between manual, assisted, semi-autonomous and automated navigation
- Main Components: GPS, Plotter, Autopilot, Sensors, Actuators, Nautical Networks and Control Units
- Relationship between navigation, ship governance, safety, efficiency, comfort and reduction of operational load
- Typologies of boats and levels of automation applicable according to recreational, professional or technical use
- Basic risks of automation: overconfidence, loss of surveillance, sensor failures and configuration errors
Sensors, navigation equipment and communication networks embarked
- Essential sensors: GPS, electronic compass, sliding, probe, anemometer, AIS, radar and motion sensors
- Plotters, multifunction displays, control units, remote panels and data display systems
- Autopilot, governing actuators, hydraulic pumps, servo motors and bearing controllers
- Nautical protocols and networks: NMEA 0183, NMEA 2000, Ethernet Marina, Wi-Fi and proprietary solutions
- Navigation data integration, wind, depth, speed, position and maritime traffic
Configuration, calibration and automatic heading and path control
- Autopilot Basics and Differences Between Heading Control, Waypoint Control, Wind Control and Route Tracking
- Compass calibration, speed sensors, rudder angle, actuator response and governance parametres
- Configuration of routes, waypoints, diversion alarms, depth limits, security zones and navigation warnings
- Adjustment of sensitivity, gain, response, smoothness and energy consumption of the autopilot
- Use of wind, current, speed and position data to improve automated navigation accuracy
Integration with security, alarms, AIS, radar and decision support systems
- Integration of autopilot with AIS, radar, electronic charts and navigation alarm systems
- Collision, Proximity, Route Detour, Low Depth, GPS Loss, Compass Failure and Nearby Traffic Alerts
- Use of electronic charts, safe routes, geofences, restricted areas and layers of maritime information
- Manoeuvre assistance, anchoring, position control, object tracking and environment surveillance
- Automation limitations against fog, heavy traffic, mapping errors, floating obstacles and adverse conditions
Applied Navigation Systems Automation Project
- Case definition: sailboat, boat, yacht, catamaran, tourist boat or work boat with assisted sailing
- Analysis of navigation needs, existing sensors, compatible equipment, usual routes and operational risks
- Automated architecture design with autopilot, plotter, sensors, nautical network, alarms and power
- Route configuration, sensor calibration, safety criteria, modes of operation and human monitoring
- Preparation of the diagnosis, maintenance, updating, support and failure response plan
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.
Naval engineers and technicians seeking to master the integration of autonomous systems, AI, and predictive control in navigation.Bridge officers and captains interested in optimizing safety and operational efficiency with automated navigation tools.Software and hardware developers focused on creating innovative solutions for autonomous maritime navigation.Researchers and academics wishing t
Academic direction and faculty
The teaching team at Navalis: working professionals who deliver and oversee the institute's programmes.








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Learning Outcomes
- 01Implement and maintain automated navigation systems
- 02Optimize the performance and efficiency of navigation systems
- 03Diagnosing and resolving problems in automated navigation systems
- 04Integrate automated navigation systems with other onboard systems
- 05Develop and implement safety procedures for automated navigation
- 06Monitor and control automated navigation systems to ensure safe and efficient operations
Career Opportunities
Entry Requirements
Admissions Process
No waiting for a phone call. If your documents are complete, you can pay in the same session.
Academic/Professional Profile:Bachelor's/Undergraduate degree in Engineering, Computer Science, Robotics, or related technical qualification; or demonstrable experience in industrial automation, systems control, or programming.Technical Skills:Fundamentals of programming (Python, C++), automatic control, sensors, actuators, embedded systems. Desirable: Experience with ROS, PLC, SCADA.Documentation:Updated CV, copy of degree/certificates, project portfolio (if applicable), ID/Passport, letter of interest.Technical Requirements (for online):Computer with IDE (Integrated D
Frequently Asked Questions
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