Aquaculture Intelligence: An Iot Training Kit For Modern Aquaculture
About This Course
Aquaculture Intelligence is a 4-day, hands-on program that shows you how to design and deploy smart aquaculture solutions by marrying IoT sensors, Raspberry Pi/edge devices, ThingsBoard cloud dashboards, and AI-powered analytics. You’ll collect real-time data on key water-quality parameters, visualize them on customizable dashboards, and trigger AI-driven automations (aeration, feeding, alerts) to keep stock healthy and operations efficient—techniques highlighted in recent industry research and open-source success stories.
Course Duration
4 Days
Exam
Project Based & Multiple-choice
Access Mode
Physical
Certification Validity
Lifetime
Modules Included
Smart Aquaculture Foundations & Sensor Suite
Connectivity & Cloud Dashboards with ThingsBoard
AI Analytics & Automation
Camera Vision Add-on (Optional)
Capstone Project & Deployment
Top Job Roles
Smart-Aquaculture Technician
IoT / Edge-AI Developer
Water-Quality Analyst
Digital Farm Manager
R&D Engineer (Marine / Fisheries)
Sustainability & Compliance Officer
What jobs can this course help me land?
Entry-level or junior roles in IoT deployment, aquaculture tech support, or water-quality data analysis for hatcheries, RAS facilities, and smart-farm start-ups.
Do I need to know Python or electronics beforehand?
Helpful but not required; the labs start with sensor basics and provide template code.
Will I build real hardware?
Yes—each participant configures a Raspberry Pi + sensor kit and publishes live data to a cloud dashboard.
Can these skills translate to agriculture or environmental IoT?
Absolutely—the sensor stack, ThingsBoard workflows, and AI rule-chains mirror smart-farming use cases.
Certification Benefits
Industry-aligned credential proving proficiency in IoT-enabled aquaculture
Ability to design, visualize, and automate water-quality monitoring systems
Portfolio-ready smart-pond prototype for employers, grants, or start-up pitches
Foundation for advanced paths in AIoT, marine robotics, or environmental tech
