Digital Shipping and Maritime AI Advantage Course

Name: Digital Shipping and Maritime AI Advantage Course
Availability: InStock

Use maritime data and AI to improve voyage, port-call, maintenance, cargo-visibility, and commercial decisions.

This 1-week course has 58 dates from November 2026 to November 2027 in 54 cities and live online. The next date runs 23 – 27 November 2026 in Barcelona. Fees per participant run from €5,200 (Sharm El-Sheikh) to €16,000 (Chicago) in a classroom, and from €3,000 live online.

Digital Shipping and Maritime AI Advantage Course

Duration: 1 Week5 days
Next start: 23 November 2026Barcelona
Scheduled dates: 58
Classroom cities: 54Barcelona, Nairobi, Sharm El-Sheikh, Istanbul and more
Format: Classroom and live online
Fee per participant: €3,000–€16,000Average €7,500

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Digital Shipping and Maritime AI Advantage Course

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What does this course cover?

Overview

Digital Shipping and Maritime AI Advantage Course is a one-week practitioner course for shipping managers, maritime operations teams, port professionals, freight leaders, and commercial teams, who leave with a Digital Shipping AI Advantage Roadmap. Participants use vessel, voyage, port-call, fuel, maintenance, cargo, and customer-visibility data to assess AI-supported decisions, platform choices, value, and risk. The course connects maritime use cases to business evidence. Agile Leaders Training Center provides training in digital shipping and maritime AI advantage.

Who Should Attend

Shipping managers responsible for operational and commercial performance
Maritime operations teams responsible for vessel and voyage decisions
Port and terminal teams responsible for port-call and turnaround coordination
Freight and logistics leaders responsible for cargo visibility and reliability
Commercial teams responsible for digital shipping use cases and value

The course assumes participants work with maritime operations or commercial data and leaves out navigation instruction, autonomous-vessel engineering, software development, and general supply-chain optimization.

Departments and Industries

The course supports digital and AI decisions across maritime transport and port services.

Fleet operations, marine operations, and vessel performance
Ports, terminals, harbor services, and port-call coordination
Freight forwarding, liner operations, and cargo planning
Chartering, commercial operations, and customer service
Technical management, maintenance, sustainability, and data teams

Learning Objectives

By the end of this course, participants will be able to:

Analyze maritime data sources and decision readiness
Apply AI use cases to voyage and port performance
Evaluate fuel, emissions, maintenance, cargo, and reliability signals
Compare platform, data-sharing, and visibility choices
Prioritize use cases by value, risk, and feasibility
Build a digital shipping AI advantage roadmap

Course Agenda

Day 1: Maritime Data and Digital Readiness

Vessel, Voyage, Port, and Cargo Data Map
Manual Report and Sensor Data Comparison
Data Quality and Timeliness Checklist
Ship-to-Shore Decision Information Flow
Digital Shipping Readiness Scorecard

Day 2: Voyage and Vessel Performance

Route and Schedule Reliability Use-Case Canvas
Speed, Weather, and Consumption Decision Grid
Fuel and Emissions Performance Indicator Set
Voyage Exception and Alert Register
Human Review and Operational Boundary

Day 3: Port Calls and Cargo Visibility

Port-Call Milestone and Turnaround Map
Estimated Arrival and Berth Data Exchange
Delay Cause and Port Exception Taxonomy
Cargo Status and Customer Visibility Dashboard
Port and Partner Data-Sharing Agreement Card

Day 4: Maintenance, Value, and Platform Choice

Condition Signal and Predictive Maintenance Concept
Failure Risk and Maintenance Priority Matrix
Digital Platform Capability Comparison
Use-Case Value, Cost, and Risk Assessment
Implementation Feasibility and Dependency Review

Day 5: Digital Shipping Advantage Practice

Suggested Exercise: Map Maritime Decision Data
Suggested Exercise: Assess Voyage and Port AI Uses
Suggested Exercise: Review Maintenance and Cargo Signals
Suggested Exercise: Prioritize Value and Risk
Capstone Exercise: Digital Shipping AI Advantage Roadmap

Practical Exercises

The course uses suggested activities to convert maritime data and AI opportunities into reviewable decisions.

Suggested activity: map vessel, voyage, port, cargo, customer, and partner data with quality and timeliness constraints
Suggested activity: evaluate route, schedule, fuel, emissions, port-call, turnaround, and exception use cases
Suggested activity: interpret condition, maintenance, cargo-status, and customer-visibility signals with human review
Suggested activity: compare platforms and prioritize use cases by value, cost, risk, feasibility, and dependencies

FAQs

Who suits digital shipping and maritime AI training?

Digital shipping and maritime AI training suits shipping managers, maritime operations teams, port professionals, freight leaders, commercial teams, and technical managers who work with maritime operational or commercial data.

How does digital shipping AI differ from general supply-chain analytics?

Digital shipping AI concentrates on vessel, voyage, port-call, fuel, machinery, cargo, schedule, and customer-visibility decisions. General supply-chain analytics spans sourcing, inventory, warehousing, production, distribution, and wider logistics networks.

Which maritime data supports AI-assisted shipping decisions?

Useful data may include vessel position, speed, weather, consumption, machinery condition, voyage schedules, port milestones, berth information, cargo status, delays, exceptions, and customer-service records, subject to quality and permission checks.

How can AI support port-call and voyage performance?

AI can support pattern detection, forecasts, exception alerts, comparisons, and decision options for arrivals, schedules, routes, fuel, delays, and turnaround, while accountable professionals retain operational judgment.

How should digital shipping AI use cases be prioritized?

Use cases should be prioritized using business value, data readiness, decision impact, risk, human oversight, platform fit, implementation effort, dependencies, measurable outcomes, and an accountable owner.

Conclusion

Participants take back a Digital Shipping AI Advantage Roadmap linking maritime decisions, data, use cases, platforms, value, risks, dependencies, owners, and measures. It makes digital shipping priorities visible and comparable. It supports phased investment in AI uses that have suitable data, defined oversight, and credible operational or commercial value.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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When and where does this course run?

Showing 1-20 of 58 events

Location	Dates	Duration	Mode	Price
Barcelona	Week 48, 2026 23 – 27 November 2026	1 Week	Onsite	€6,500
Nairobi	Week 48, 2026 29 November – 3 December 2026	1 Week	Onsite	€6,000
Sharm El-Sheikh	Week 49, 2026 30 November – 4 December 2026	1 Week	Onsite	€5,200
Istanbul	Week 51, 2026 14 – 18 December 2026	1 Week	Onsite	€6,000
Frankfurt	Week 51, 2026 14 – 18 December 2026	1 Week	Onsite	€6,500
Nice	Week 53, 2026 28 December 2026 – 1 January 2027	1 Week	Onsite	€8,000
Amman	Week 53, 2027 3 – 7 January 2027	1 Week	Onsite	€6,000
Zoom	Week 02, 2027 11 – 15 January 2027	1 Week	Online	€3,000
Lisbon	Week 02, 2027 11 – 15 January 2027	1 Week	Onsite	€6,500
Chicago	Week 02, 2027 17 – 21 January 2027	1 Week	Onsite	€16,000
Madrid	Week 03, 2027 18 – 22 January 2027	1 Week	Onsite	€6,500
New York	Week 04, 2027 25 – 29 January 2027	1 Week	Onsite	€16,000
Bali	Week 05, 2027 7 – 11 February 2027	1 Week	Onsite	€6,500
Amsterdam	Week 06, 2027 8 – 12 February 2027	1 Week	Onsite	€6,500
Tbilisi	Week 07, 2027 15 – 19 February 2027	1 Week	Onsite	€5,700
Paris	Week 08, 2027 22 – 26 February 2027	1 Week	Onsite	€6,500
Montreux	Week 08, 2027 22 – 26 February 2027	1 Week	Onsite	€8,000
Accra	Week 09, 2027 1 – 5 March 2027	1 Week	Onsite	€6,330
Manama	Week 09, 2027 7 – 11 March 2027	1 Week	Onsite	€6,500
Toronto	Week 09, 2027 7 – 11 March 2027	1 Week	Onsite	€16,000

Frequently asked questions

When does this course next run?

The next date runs 23 – 27 November 2026 in Barcelona. It is one of 58 dates scheduled up to November 2027.

Where is this course held?

In a classroom in 54 cities: Barcelona, Nairobi, Sharm El-Sheikh, Istanbul, Frankfurt, Nice, Amman, Lisbon, and more. It is also scheduled as live online sessions.

Can I attend this course online?

Yes. One date is scheduled as a live online session: 11 – 15 January 2027, from €3,000 per participant.

How long is the course?

1 Week. Each date shows its start and end dates.

How much does the course cost?

Fees per participant run from €5,200 (Sharm El-Sheikh) to €16,000 (Chicago) in a classroom, and from €3,000 live online. Each date shows its own fee.

What does this course cover?

OverviewDigital Shipping and Maritime AI Advantage Course is a one-week practitioner course for shipping managers, maritime operations teams, port professionals, freight leaders, and commercial teams, who leave with a Digital Shipping AI Advantage Roadmap. Participants use vessel, voyage, port-call, fuel, maintenance, cargo, and customer-visibility data t…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Can this course be run for our team?

Yes. Tell us the number of participants and your preferred dates and city through our training request form.

Digital Shipping and Maritime AI Advantage Course