Certified Professional in AI for
Sustainable Seafood
1.
Training Introduction
Sustainable seafood production and management is
increasingly relying on Artificial Intelligence (AI) to enhance traceability,
monitor fisheries and aquaculture systems, optimize operations, and ensure
compliance with sustainability standards. AI applications, including machine
learning, predictive modeling, and blockchain-based traceability, are
transforming seafood value chains from capture to consumption.
The Certified Professional in AI for Sustainable
Seafood programme equips participants with advanced knowledge and applied
skills to leverage AI for promoting sustainable, ethical, and efficient seafood
production, processing, and supply chain management. The course combines
principles of AI, digital transformation, sustainability, and responsible
seafood practices.
2.
Training Objective
The objectives of this certification programme are
to:
- Develop
expertise in AI applications across seafood production and supply chains
- Enhance
skills in data-driven monitoring, traceability, and decision-making
- Promote
sustainable, responsible, and ethical seafood practices
- Build
capacity to implement AI-enabled solutions for seafood management
- Prepare
participants for professional roles in sustainable seafood innovation and
governance
3.
Targeted Group
This programme is suitable for:
- Fisheries
and aquaculture managers and professionals
- Seafood
quality assurance and traceability officers
- Data
scientists and ICT professionals working in seafood systems
- Sustainability
and compliance officers in seafood supply chains
- NGO
and development project practitioners
- Researchers
and academics in fisheries, aquaculture, environmental sciences, or food
systems
Basic knowledge of seafood production systems or
digital tools is recommended; no prior advanced AI coding skills required.
4. Course
Duration
- Total
Modules: 8
- Training
Period: 2
weeks
- Total
Contact Hours:
60–100 hours
- Mode
of Delivery:
Online, in-person, or blended professional learning
5.
Training Methodology
The programme uses a combination of applied,
interactive, and technology-driven approaches:
- Expert-led
lectures and webinars
- Case
studies of AI implementation in seafood systems
- Hands-on
exercises with sample datasets and AI tools
- Scenario-based
problem-solving and group discussions
- Assignments,
quizzes, and a capstone project
- Continuous
assessment and feedback
6. Course
Content
Module 1: Introduction to AI in
Sustainable Seafood
- Overview
of AI applications in fisheries, aquaculture, and seafood value chains
- Opportunities
and challenges of AI adoption for sustainability
- Role
of AI in responsible seafood production
Module 2: Seafood Data Management
and Digital Infrastructure
- Types
of data in seafood production and processing
- Digital
platforms for data collection, storage, and sharing
- Data
quality, integrity, and interoperability
Module 3: AI in Monitoring,
Control, and Surveillance
- Machine
learning and predictive analytics for seafood monitoring
- Vessel
and farm surveillance, sensor-based monitoring
- Early
warning systems for stock and production management
Module 4: Traceability, Compliance,
and Certification
- Digital
traceability systems for seafood
- Blockchain
and AI-enabled traceability applications
- Compliance
with sustainability standards and certification schemes
Module 5: AI for Sustainable
Seafood Production
- Optimizing
aquaculture and capture fisheries using AI
- Feed
management, growth prediction, and production efficiency
- Environmental
monitoring and ecosystem-based management
Module 6: Risk Assessment and
Decision Support
- AI-driven
risk assessment in seafood systems
- Decision-support
tools for supply chain, environmental, and market risks
- Scenario
modeling for sustainability planning
Module 7: Ethics, Governance, and
Responsible AI
- Ethical
considerations in AI applications
- Governance
frameworks for responsible seafood AI deployment
- Transparency,
accountability, and stakeholder engagement
Module 8: Innovation, Case
Studies, and Professional Practice
- Real-world
applications of AI in sustainable seafood
- Emerging
trends and innovative solutions
- Career
pathways and professional development in AI for seafood sustainability
7.
Expected Outcomes
Upon successful completion of the programme,
participants will be able to:
- Apply
AI tools for monitoring, traceability, and management of seafood systems
- Support
sustainable and ethical seafood production practices
- Analyze
data for decision-making and compliance in seafood operations
- Implement
AI-enabled solutions to improve efficiency, transparency, and
sustainability
- Serve
as professionals capable of leading AI innovation in seafood value chains
8.
Certificate of Completion
Participants who:
- Successfully
complete all 8 modules
- Participate
in practical exercises, case studies, and assessments
- Demonstrate
competence in AI applications for sustainable seafood
will be awarded a:
Certified Professional in AI for
Sustainable Seafood
Issued by:
FOTADE Training, Research and Resource Development
Centre
This certificate recognizes the participant’s
expertise in applying AI for sustainable, responsible, and innovative seafood
management, supporting leadership, professional growth, and sectoral
innovation
2 Weeks
09:00am - 14:00pm