Certificate Programme in AI Solutions for Fisheries Research

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์–ด๋””์„œ๋“  ํ•™์Šต

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์™„๋ฃŒ๊นŒ์ง€ 2๊ฐœ์›”

์ฃผ 2-3์‹œ๊ฐ„

์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Artificial Intelligence in Fisheries
  • Machine Learning for Fisheries Data Analysis
  • AI-powered Image Recognition for Fish Stock Assessment
  • Deep Learning Techniques for Fisheries Management
  • Predictive Modelling and Forecasting in Fisheries using AI
  • Ethical Considerations and Responsible AI in Fisheries Research
  • AI for Aquatic Ecosystem Monitoring and Conservation
  • Case Studies: AI Solutions in Fisheries Science

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role in AI Solutions for Fisheries Research (UK) Description AI Specialist : Fisheries Data Analysis Develops and implements AI algorithms for analyzing large fisheries datasets, predicting fish stocks, and optimizing fishing practices.

High demand for machine learning skills.

Data Scientist : Fisheries Management Applies statistical modeling and AI techniques to support sustainable fisheries management, including predicting fish population dynamics and assessing environmental impacts.

Requires strong data analysis skills.

AI Engineer : Fisheries Monitoring Systems Designs, builds, and maintains AI -powered monitoring systems for tracking fishing vessels, assessing fishing effort, and combating illegal fishing.

Experience with computer vision is beneficial.

Research Scientist : Fisheries AI Applications Conducts research to explore new applications of AI in fisheries research, focusing on areas such as stock assessment, habitat mapping, and disease prediction.

Deep learning expertise is valuable.

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CERTIFICATE PROGRAMME IN AI SOLUTIONS FOR FISHERIES RESEARCH
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of International Business (LSIB)
์ˆ˜์—ฌ์ผ
05 May 2025
๋ธ”๋ก์ฒด์ธ ID: s-1-a-2-m-3-p-4-l-5-e
์ด ์ž๊ฒฉ์ฆ์„ LinkedIn ํ”„๋กœํ•„, ์ด๋ ฅ์„œ ๋˜๋Š” CV์— ์ถ”๊ฐ€ํ•˜์„ธ์š”. ์†Œ์…œ ๋ฏธ๋””์–ด์™€ ์„ฑ๊ณผ ํ‰๊ฐ€์—์„œ ๊ณต์œ ํ•˜์„ธ์š”.
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