This course provides a practical introduction to Recirculating Aquaculture Systems (RAS), covering system components, water treatment, biofiltration, aeration, water quality management, and operational principles. Participants will learn how RAS technology can support efficient, controlled, and sustainable fish production while reducing water consumption and improving production performance. The course is suitable for aquaculture professionals, farm managers, technicians, investors, and individuals interested in modern intensive aquaculture systems.

This course introduces the principles and practical applications of Biofloc Technology (BFT) in aquaculture. Participants will explore microbial processes, carbon-to-nitrogen balance, water quality management, feeding strategies, biomass management, and system operation. The course focuses on how biofloc systems can improve water utilization, reduce waste, and support more sustainable intensive fish and shrimp production. It is designed for professionals and entrepreneurs interested in implementing or improving biofloc-based aquaculture systems.

This course explores the use of Internet of Things (IoT) sensors and connected technologies for real-time aquaculture monitoring. Participants will learn how sensors can be used to monitor key parameters such as temperature, dissolved oxygen, pH, salinity, ammonia, and other environmental conditions. The course introduces data collection, remote monitoring, alerts, and basic automation, helping participants understand how connected technologies can improve farm management, operational efficiency, and decision-making.

This course introduces the applications of Artificial Intelligence (AI) and Machine Learning in modern aquaculture. Participants will explore how AI can support biomass estimation, fish health monitoring, feeding optimization, water-quality prediction, production forecasting, and operational decision-making. Through practical examples and industry applications, the course demonstrates how data-driven technologies can help aquaculture businesses improve productivity, reduce operational costs, and develop more intelligent and sustainable farming practices.

This course focuses on the principles, technologies, and practical applications of automated feeding systems in aquaculture. Participants will learn about feeding equipment, feeding schedules, demand-based feeding, sensor integration, feed optimization, and monitoring of feeding performance. The course explains how automation can help improve feed utilization, reduce waste, maintain consistent feeding practices, and support better growth and production outcomes across different aquaculture systems.

This course introduces the use of computer vision and image-based technologies in aquaculture operations. Participants will learn how cameras and vision systems can be applied to monitor fish behavior, estimate biomass, assess feeding activity, detect abnormalities, and support fish health management. The course provides an overview of how computer vision can complement traditional farm monitoring and contribute to more automated, accurate, and data-driven aquaculture management.

This course explores the practical use of drones and aerial monitoring technologies in aquaculture. Participants will learn how drones can support farm inspection, pond and cage monitoring, infrastructure assessment, environmental observation, security, and operational planning. The course covers the potential benefits and limitations of drone-based monitoring and demonstrates how aerial data can improve farm visibility, reduce manual inspection requirements, and support faster and more informed management decisions.

This course introduces the use of robotics and Remotely Operated Vehicles (ROVs) in modern aquaculture. Participants will explore applications such as underwater inspection, cage monitoring, infrastructure assessment, fish observation, cleaning, and maintenance support. The course provides an overview of ROV technologies, their operational capabilities, and their role in improving safety, reducing manual underwater activities, and enabling more efficient monitoring of marine and offshore aquaculture facilities.

This course introduces Digital Twin technology and its emerging applications in aquaculture. Participants will learn how digital representations of farms, production systems, and equipment can be combined with real-time data to monitor operations, simulate scenarios, identify potential problems, and support decision-making. The course demonstrates how Digital Twins can contribute to predictive management, operational optimization, resource efficiency, and the digital transformation of modern aquaculture facilities.

This course introduces the principles of Precision Aquaculture and the use of data, sensors, automation, and digital technologies to improve farm management. Participants will learn how real-time information can support more accurate decisions related to feeding, water quality, biomass, fish health, energy use, and production performance. The course provides a practical understanding of how precision technologies can improve efficiency, reduce resource waste, and support sustainable and profitable aquaculture operations.