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Digital Fleet Management Course

Why this course?

The Digital Fleet Management Course

This course empowers you to optimize the efficiency and profitability of your fleet through the implementation of cutting-edge technologies. You will learn to collect, analyze, and utilize real-time data for strategic decision-making, reducing operating costs, and improving overall fleet performance. Master the tools and strategies to lead the digital transformation in the transport and logistics sector.

Differentiating Advantages

  • Route Optimization: Minimizes fuel consumption and delivery times using intelligent algorithms.
  • Predictive Maintenance: Anticipates mechanical failures and reduces vehicle downtime.
  • Real-Time Tracking and Control: Monitors location, driver behavior, and cargo status.
  • Advanced Data Analysis: Identifies patterns and trends to improve efficiency and safety.
  • Comprehensive Management Platform: Access all tools and data from a single, intuitive interface.
GestiĆ³n
Price: 664,00 £

Digital Fleet Management Course

  • Modality: Online
  • Level: Cursos
  • Hours: 150 H
  • Start date: 26-07-2026

Availability: 1 in stock

Who is it aimed at?

  • Fleet managers and logistics managers looking to optimize efficiency, reduce costs, and improve decision-making through digitalization.
  • Maintenance and operations managers who want to implement predictive solutions, monitor performance in real time, and efficiently manage the asset lifecycle.
  • Data analysts and IT specialists who need tools and knowledge to extract value from fleet-generated data, create customized reports, and automate processes.
  • Operations directors and CEOs interested in digitally transforming their fleet, maximizing profitability, and ensuring safety and regulatory compliance.
  • Fleet management consultants and technology providers looking to update their Knowledge of the latest digital trends and solutions to offer innovative services.

    Flexibility and applicability

    Suitable for professionals with busy schedules: modular content, practical case studies, and unlimited access to the platform to adapt learning to your pace.

GestiĆ³n

Objectives and competencies

Optimize fuel efficiency:

“Anticipate power demand, optimizing the use of the main and auxiliary machines.”

Implement predictive vehicle maintenance:

“Using vibration analysis tools, thermography and fluid inspection, optimizing maintenance planning and reducing downtime.”

Improve communication and coordination between drivers and the central office.

“Use clear and standardized communication protocols (e.g., VHF radio, digital messaging) to transmit accurate and concise information about position, intentions, and any relevant eventualities.”

Reduce vehicle downtime:

Implement a rigorous preventive maintenance program and optimize the management of critical spare parts.

Increase visibility and control over the location and status of vehicles:

Implement real-time geolocation and telemetry systems, integrating them with centralized management platforms to monitor the fleet and its operational status, allowing for a rapid response to incidents and optimizing routes.

Analyze and optimize the overall performance of the fleet:

“Evaluate fuel consumption, preventive and corrective maintenance, and route efficiency to reduce operating costs.”

Curriculum - Modules

  1. Comprehensive Maritime Incident Management: protocols, roles, and chain of command for coordinated response
  2. Operational Planning and Execution: briefing, routes, weather windows, and go/no-go criteria
  3. Rapid Risk Assessment: criticality matrix, scene control, and decision-making under pressure
  4. Operational Communication: VHF/GMDSS, standardized reports, and inter-agency liaison
  5. Tactical Mobility and Safe Boarding: RHIB maneuvers, approach, mooring, and recovery
  6. Equipment and Technologies: PPE, signaling, satellite tracking, and field data logging
  7. Immediate Care of the Affected: primary assessment, hypothermia, trauma, and stabilization for evacuation
  8. Adverse Environmental Conditions: swell, Visibility, flows, and operational mitigation

    Simulation and training: critical scenarios, use of VR/AR, and exercises with performance metrics

    Documentation and continuous improvement: lessons learned, indicators (MTTA/MTTR), and SOP updates

  1. Introduction to Telematics in Fleet Management: Key Concepts and Evolution
  2. Telematics Devices: Types, Functionalities, and Selection (GPS, Sensors, Cameras)
  3. Fleet Management Platforms: Architecture, Modules, and Providers
  4. Integration of Telematics Data: Performance Analysis, Route Optimization, and Fuel Consumption
  5. Geolocation and Geofencing: Real-Time Tracking, Alerts, and Security
  6. Driver Behavior Monitoring: Road Safety, Driving Habits, and Alerts
  7. Remote Vehicle Diagnostics: Predictive Maintenance, Fault Alerts, and Optimization
  8. Fuel Management: Consumption Control, Route Optimization, and Theft Alerts
  9. Communication with the driver: messaging, alerts, and real-time support
  10. Cybersecurity in telematics: data protection, vulnerabilities, and best practices

‘

  1. Introduction to Connected Fleets: Definition, Scope, and Benefits.
  2. Sensors and Telemetry: Types, Operation, Installation, and Maintenance.
  3. Communication and Connectivity: Protocols, Networks (Cellular, Satellite, WiFi), Security.
  4. Fleet Management Platforms: Architecture, Functionalities, Data Integration.
  5. Data Analysis and Artificial Intelligence: Techniques, Tools, and Applications.
  6. Geolocation and Geofencing: Real-time Tracking, Alerts, and Route Optimization.
  7. Vehicle Performance Monitoring: Fuel Consumption, Emissions, Predictive Maintenance.
  8. Safety and Risk Prevention: Detection of Dangerous Driving, Alerts emergency.
  9. Route optimization and planning: Algorithms, factors to consider, efficiency improvement.
  10. Privacy and data protection in connected fleets: Regulatory compliance and best practices.

‘

  1. Introduction to Digital Mobility: Concepts, Benefits, and Challenges
  2. Fleet Management System (FMS) Platforms: Types, Functionalities, and Selection
  3. Telemetry and IoT Devices: Sensors, Connectivity, and Data Collection
  4. Geolocation and GPS Tracking: Accuracy, Coverage, and Real-Time Applications
  5. Data Analysis and Business Intelligence: KPIs, Custom Reports, and Decision Making
  6. Systems Integration: ERP, CRM, and Other Enterprise Platforms
  7. Cybersecurity in Digital Mobility: Data Protection and Attack Prevention
  8. Route Optimization and Task Scheduling: Algorithms, Constraints, and Continuous Improvement.
  9. Predictive Maintenance and Asset Management: Remote Diagnostics, Scheduling, and Cost Reduction.
  10. Regulatory Compliance and Regulation in Digital Mobility.

‘

  1. Introduction to Digital Fleet Management: Key Concepts and Benefits
  2. Geolocation Technologies: GPS, GLONASS, Galileo, and their Applications
  3. Sensors and Telematics: Vehicle Data Collection and Analysis
  4. Fleet Management Platforms: Features, Integration, and Selection
  5. Communication and Connectivity: Mobile, Satellite, and IoT Networks
  6. Data Security: Information Protection and Regulatory Compliance
  7. Integration with ERP and CRM Systems: Data Flow and Automation
  8. Predictive Analytics: Maintenance, Routing, and Resource Optimization
  9. Cybersecurity in Fleet Management Fleets: Attack prevention and asset protection.

    Future trends in digital fleet management: AI, Big Data, and autonomous driving.

    ‘

  1. System Architecture and Components: Structural design, materials, and subsystems (mechanical, electrical, electronic, and fluid) with selection and assembly criteria for marine environments
  2. Fundamentals and Principles of Operation: Physical and engineering foundations (thermodynamics, fluid mechanics, electricity, control, and materials) that explain performance and operating limits
  3. Safety and Environmental (SHE): Risk analysis, PPE, LOTO, hazardous atmospheres, spill and waste management, and emergency response plans
  4. Applicable Regulations and Standards: IMO/ISO/IEC requirements and local regulations;
  5. Conformance criteria, certification, and best practices for operation and maintenance
  6. Inspection, testing, and diagnostics: Visual/dimensional inspection, functional testing, data analysis, and predictive techniques (vibration, thermography, fluid analysis) to identify root causes
  7. Preventive and predictive maintenance: Hourly/cycle/seasonal plans, lubrication, adjustments, calibrations, consumable replacement, post-service verification, and operational reliability
  8. Instrumentation, tools, and metrology: Measuring and testing equipment, diagnostic software, calibration and traceability; selection criteria, safe use, and storage
  9. Onboard integration and interfaces: Mechanical, electrical, fluid, and data compatibility; Sealing and watertightness, EMC/EMI, corrosion protection, and interoperability testing.

    Quality, acceptance testing, and commissioning: process and materials control, FAT/SAT, bench and sea trials, go/no-go criteria, and evidence documentation.

    Technical documentation and integrated practice: logs, checklists, reports, and a complete case study (safety ā†’ diagnosis ā†’ intervention ā†’ verification ā†’ report) applicable to any system.

Plan de estudio - MĆ³dulos

  1. Comprehensive Maritime Incident Management: protocols, roles, and chain of command for coordinated response
  2. Operational Planning and Execution: briefing, routes, weather windows, and go/no-go criteria
  3. Rapid Risk Assessment: criticality matrix, scene control, and decision-making under pressure
  4. Operational Communication: VHF/GMDSS, standardized reports, and inter-agency liaison
  5. Tactical Mobility and Safe Boarding: RHIB maneuvers, approach, mooring, and recovery
  6. Equipment and Technologies: PPE, signaling, satellite tracking, and field data logging
  7. Immediate Care of the Affected: primary assessment, hypothermia, trauma, and stabilization for evacuation
  8. Adverse Environmental Conditions: swell, Visibility, flows, and operational mitigation

    Simulation and training: critical scenarios, use of VR/AR, and exercises with performance metrics

    Documentation and continuous improvement: lessons learned, indicators (MTTA/MTTR), and SOP updates

  1. Introduction to Telematics in Fleet Management: Key Concepts and Evolution
  2. Telematics Devices: Types, Functionalities, and Selection (GPS, Sensors, Cameras)
  3. Fleet Management Platforms: Architecture, Modules, and Providers
  4. Integration of Telematics Data: Performance Analysis, Route Optimization, and Fuel Consumption
  5. Geolocation and Geofencing: Real-Time Tracking, Alerts, and Security
  6. Driver Behavior Monitoring: Road Safety, Driving Habits, and Alerts
  7. Remote Vehicle Diagnostics: Predictive Maintenance, Fault Alerts, and Optimization
  8. Fuel Management: Consumption Control, Route Optimization, and Theft Alerts
  9. Communication with the driver: messaging, alerts, and real-time support
  10. Cybersecurity in telematics: data protection, vulnerabilities, and best practices

‘

  1. Introduction to Connected Fleets: Definition, Scope, and Benefits.
  2. Sensors and Telemetry: Types, Operation, Installation, and Maintenance.
  3. Communication and Connectivity: Protocols, Networks (Cellular, Satellite, WiFi), Security.
  4. Fleet Management Platforms: Architecture, Functionalities, Data Integration.
  5. Data Analysis and Artificial Intelligence: Techniques, Tools, and Applications.
  6. Geolocation and Geofencing: Real-time Tracking, Alerts, and Route Optimization.
  7. Vehicle Performance Monitoring: Fuel Consumption, Emissions, Predictive Maintenance.
  8. Safety and Risk Prevention: Detection of Dangerous Driving, Alerts emergency.
  9. Route optimization and planning: Algorithms, factors to consider, efficiency improvement.
  10. Privacy and data protection in connected fleets: Regulatory compliance and best practices.

‘

  1. Introduction to Digital Mobility: Concepts, Benefits, and Challenges
  2. Fleet Management System (FMS) Platforms: Types, Functionalities, and Selection
  3. Telemetry and IoT Devices: Sensors, Connectivity, and Data Collection
  4. Geolocation and GPS Tracking: Accuracy, Coverage, and Real-Time Applications
  5. Data Analysis and Business Intelligence: KPIs, Custom Reports, and Decision Making
  6. Systems Integration: ERP, CRM, and Other Enterprise Platforms
  7. Cybersecurity in Digital Mobility: Data Protection and Attack Prevention
  8. Route Optimization and Task Scheduling: Algorithms, Constraints, and Continuous Improvement.
  9. Predictive Maintenance and Asset Management: Remote Diagnostics, Scheduling, and Cost Reduction.
  10. Regulatory Compliance and Regulation in Digital Mobility.

‘

  1. Introduction to Digital Fleet Management: Key Concepts and Benefits
  2. Geolocation Technologies: GPS, GLONASS, Galileo, and their Applications
  3. Sensors and Telematics: Vehicle Data Collection and Analysis
  4. Fleet Management Platforms: Features, Integration, and Selection
  5. Communication and Connectivity: Mobile, Satellite, and IoT Networks
  6. Data Security: Information Protection and Regulatory Compliance
  7. Integration with ERP and CRM Systems: Data Flow and Automation
  8. Predictive Analytics: Maintenance, Routing, and Resource Optimization
  9. Cybersecurity in Fleet Management Fleets: Attack prevention and asset protection.

    Future trends in digital fleet management: AI, Big Data, and autonomous driving.

    ‘

  1. System Architecture and Components: Structural design, materials, and subsystems (mechanical, electrical, electronic, and fluid) with selection and assembly criteria for marine environments
  2. Fundamentals and Principles of Operation: Physical and engineering foundations (thermodynamics, fluid mechanics, electricity, control, and materials) that explain performance and operating limits
  3. Safety and Environmental (SHE): Risk analysis, PPE, LOTO, hazardous atmospheres, spill and waste management, and emergency response plans
  4. Applicable Regulations and Standards: IMO/ISO/IEC requirements and local regulations;
  5. Conformance criteria, certification, and best practices for operation and maintenance
  6. Inspection, testing, and diagnostics: Visual/dimensional inspection, functional testing, data analysis, and predictive techniques (vibration, thermography, fluid analysis) to identify root causes
  7. Preventive and predictive maintenance: Hourly/cycle/seasonal plans, lubrication, adjustments, calibrations, consumable replacement, post-service verification, and operational reliability
  8. Instrumentation, tools, and metrology: Measuring and testing equipment, diagnostic software, calibration and traceability; selection criteria, safe use, and storage
  9. Onboard integration and interfaces: Mechanical, electrical, fluid, and data compatibility; Sealing and watertightness, EMC/EMI, corrosion protection, and interoperability testing.

    Quality, acceptance testing, and commissioning: process and materials control, FAT/SAT, bench and sea trials, go/no-go criteria, and evidence documentation.

    Technical documentation and integrated practice: logs, checklists, reports, and a complete case study (safety ā†’ diagnosis ā†’ intervention ā†’ verification ā†’ report) applicable to any system.

  1. Introduction to Fleet Telematics: Concepts, Evolution, and Benefits
  2. GPS Tracking Devices: Types, Functionalities, and Selection
  3. Telematics Sensors: Measuring Fuel, Temperature, Load, and Other Parameters
  4. Data Integration: Telematics Platforms and APIs
  5. Data Communication: Mobile, Satellite, and Other Technologies
  6. Geofencing: Creation, Management, and Alerts
  7. Alerts and Notifications: Customization and Event Management
  8. Information Security: Protecting Telematics Data
  9. Preventive Maintenance: Scheduling and Management via Telematics
  10. Data Analysis: Reports, KPIs, and Decision-Making

‘

  1. Introduction to Digital Mobility and Fleet Management
  2. Fleet Management Platforms: Types, Features, and Selection
  3. IoT Sensors and Devices: Installation, Configuration, and Maintenance
  4. Data Collection and Analysis: Big Data, KPIs, and Key Metrics
  5. Route Optimization: Algorithms, Software, and Best Practices
  6. Predictive Maintenance: Models, Alerts, and Spare Parts Management
  7. Fleet Security: Monitoring, Alarms, Theft and Accident Prevention
  8. Connectivity and Communications: Networks, Protocols, and Data Security
  9. Integration with Other Systems: ERP, CRM, TMS
  10. Future Trends: Autonomous Vehicles, Electrification, and Shared Mobility

‘

  1. Introduction to Digital Fleet Management: Key Concepts and Benefits
  2. Fleet Management Platforms: Selection, Implementation, and Integration
  3. Sensors and Telematics: GPS, Accelerometers, Fuel and Temperature Sensors
  4. Driving Data Collection and Analysis: Patterns, Risks, and Opportunities
  5. Real-Time Monitoring: Tracking, Alerts, Geofencing, and Route Control
  6. Route Optimization and Scheduling: Algorithms, Software, and Best Practices
  7. Predictive Maintenance Management: Sensors, Analysis, and Task Scheduling
  8. Fuel Control: Management, Optimization, and Fraud Detection
  9. Safety of the Driver: Monitoring, training, and incentive programs.

    Performance reports and analytics: KPIs, dashboards, and decision-making.

    ‘

  1. Fundamentals of emerging technologies: IoT, Big Data, AI, 5G, Blockchain.
  2. IoT sensors and devices for fleets: types, characteristics, integration, security.
  3. Smart fleet management platforms: architecture, functionalities, scalability.
  4. Data analytics and Big Data in fleet management: collection, processing, visualization.
  5. Artificial Intelligence and Machine Learning for optimization: predictive maintenance, intelligent routing, autonomous driving.
  6. 5G communication and connectivity for fleets: bandwidth, latency, coverage, security.
  7. Blockchain for supply chain management and security: traceability, authentication, smart contracts.
  8. Cybersecurity
  9. In intelligent fleets: threats, vulnerabilities, data protection, incident response.
  10. Systems and API integration: interoperability, standardization, application development.
  11. Case studies and future trends: practical applications, challenges, opportunities.

‘

Career opportunities

  • Fleet Manager: Route optimization, real-time tracking, and resource management.
  • Fleet Data Analyst: Interpretation of telematics data to improve efficiency and reduce costs.
  • Onboard Telematics Specialist: Implementation and maintenance of monitoring and control systems.
  • Fleet Digital Transformation Consultant: Advising on the adoption of new technologies and digital strategies.
  • Fleet Management Software Developer: Creation and improvement of management applications and platforms.
  • Fleet Cybersecurity Manager: Protection of fleet systems and data against cyber threats.
  • Sustainable Mobility Specialist: Implementation of solutions for emissions reduction and energy use. alternatives.
  • Project Manager of Fleet Digitization Projects: Leadership and management of new technology implementation projects.

“`

Admission requirements

Academic/professional profile:

Degree/Bachelor's degree in Nautical Science/Maritime Transport, Naval/Marine Engineering, or a related field; or proven professional experience in bridge/operations.

Language proficiency:

Recommended functional maritime English (SMCP) for simulations and technical materials.

5. Induction

Updated resume, copy of degree or seaman's book, ID card/passport, letter of motivation.

Technical requirements (for online):

Equipment with camera/microphone, stable connection, ā‰„ 24ā€ monitor recommended for ECDIS/Radar-ARPA.

Admission process and dates

1. Online
application

(form + documents).

2. Academic review and interview

(profile/objectives/schedule compatibility).

3. Admission decision

(+ scholarship proposal if applicable).

4. Reservation of place

(deposit) and registration.

5. Induction

(access to campus, calendars, simulator guides).

Scholarships and grants

  • Optimize your fleet: Master digital tools for efficient and profitable management.
  • Data analysis: Learn to interpret key data for strategic decision-making.
  • Predictive maintenance: Reduce costs and minimize downtime with advanced techniques.
  • Real-time tracking: Monitor your fleet and improve safety with geolocation systems.
  • Efficient communication: Optimize communication between the base and vehicles for greater productivity.
Boost your fleet’s efficiency and reduce costs with expert digital management.

Testimonials

I implemented a digital fleet management system that reduced fuel costs by 15%, improved route efficiency by 20%, and decreased delivery times by 10% in the first quarter.

Luisa FernƔndezFirst mate
Luisa FernƔndez

I mastered the programming of navigation and automated control systems, applying my knowledge to the optimization of routes for recreational vessels, which resulted in a 15% fuel saving in real simulations, exceeding the expectations of the course.

Luisa FernandezCaptain
Luisa Fernandez

I implemented a digital fleet management system that reduced fuel costs by 15%, improved route efficiency by 20%, and decreased delivery times by 10% in the first quarter.

Luisa FernandezVTS Supervisor
Luisa Fernandez

I implemented a digital fleet management system that reduced fuel costs by 15%, improved route efficiency by 20%, and decreased vehicle downtime by 10% in the first quarter.

Ignacio HernƔndezAspiring practical worker
Ignacio HernƔndez

Frequently asked questions

Telematics, GPS, IoT, sensors, fleet management software, data analytics, machine learning, mobile applications.

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.

Greater efficiency and reduced costs.

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 (3ā€“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 University + operational portfolio (tracks, SOPs, reports and KPIs) useful for audits and employment.

  1. Fundamentals of emerging technologies: IoT, Big Data, AI, 5G, Blockchain.
  2. IoT sensors and devices for fleets: types, characteristics, integration, security.
  3. Smart fleet management platforms: architecture, functionalities, scalability.
  4. Data analytics and Big Data in fleet management: collection, processing, visualization.
  5. Artificial Intelligence and Machine Learning for optimization: predictive maintenance, intelligent routing, autonomous driving.
  6. 5G communication and connectivity for fleets: bandwidth, latency, coverage, security.
  7. Blockchain for supply chain management and security: traceability, authentication, smart contracts.
  8. Cybersecurity
  9. In intelligent fleets: threats, vulnerabilities, data protection, incident response.
  10. Systems and API integration: interoperability, standardization, application development.
  11. Case studies and future trends: practical applications, challenges, opportunities.

‘

Request information

  1. Complete the Application Form
  2. Attach your CV/Qualifications (if you have them to hand).
  3. Indicate your preferred cohort (January/May/September) and whether you want the hybrid option with simulator sessions.
An academic advisor will contact you within 24ā€“48 hours to guide you through the admission process, scholarships, and compatibility with your professional schedule. Translated with DeepL.com (free version)
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Teachers

Eng. TomƔs Riera

Full Professor

Eng. TomƔs Riera

Full Professor

Naval engineer specializing in the selection, integration, and optimization of propulsion systems for yachts, high-speed craft, and service vessels.
View lecturer

Eng. SofĆ­a Marquina

Full Professor

Eng. SofĆ­a Marquina

Full Professor

Materials engineer specializing in marine composites and corrosion protection systems for ships, yachts, and port structures.
View lecturer

Eng. Javier BaƱuls

Full Professor

Eng. Javier BaƱuls

Full Professor

Naval electrical engineer with over fifteen years of experience in the design, integration, and operation of power and automation systems.
View lecturer

Dr. Nuria Llobregat

Full Professor

Dr. Nuria Llobregat

Full Professor

Specialist in meteorological and operational decision-making for coastal and offshore navigation, integrating wind, wave, and current models.
View lecturer

Dr. Pau Ferrer

Full Professor

Dr. Pau Ferrer

Full Professor

Naval engineer with a PhD in applied hydrodynamics and over a decade of experience designing high-performance hulls and marine structures.
View lecturer

Cap. Javier Abaroa (MCA)

Full Professor

Cap. Javier Abaroa (MCA)

Full Professor

MCA-certified captain with command of ocean-going vessels, specializing in advanced maneuvering, navigation management, and bridge safety.
View lecturer
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