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Certificate Programme in AI for Endangered Species Protection

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๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Artificial Intelligence and its Applications in Conservation
  • Machine Learning for Wildlife Monitoring and Population Estimation
  • Computer Vision Techniques for Species Identification and Behavior Analysis
  • Deep Learning for Endangered Species Protection: Case Studies and Applications
  • Data Acquisition and Management for AI in Conservation
  • AI-driven Habitat Modeling and Prediction
  • Ethical Considerations and Responsible AI in Conservation
  • Remote Sensing and GIS for Endangered Species Research using AI
  • Project Development and Implementation using AI for Endangered Species Conservation

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role Description AI Specialist (Endangered Species) Develops and implements AI algorithms for monitoring, analyzing, and predicting threats to endangered species populations.

Strong programming (Python) and data analysis skills are essential.

Conservation Biologist (AI Focus) Combines biological expertise with AI techniques for species protection.

Analyzes large datasets, develops predictive models, and contributes to conservation strategies.

Expertise in machine learning is highly valued.

Data Scientist (Wildlife Protection) Collects, cleans, and analyzes diverse datasets related to endangered species.

Builds AI models to identify patterns and inform conservation efforts.

Experience with deep learning is a plus.

AI Engineer (Environmental Conservation) Designs, develops, and maintains AI systems for environmental monitoring and conservation.

Strong software engineering skills and knowledge of cloud platforms (AWS, GCP) are required.

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์™œ ์‚ฌ๋žŒ๋“ค์ด ๊ฒฝ๋ ฅ์„ ์œ„ํ•ด ์šฐ๋ฆฌ๋ฅผ ์„ ํƒํ•˜๋Š”๊ฐ€

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CERTIFICATE PROGRAMME IN AI FOR ENDANGERED SPECIES PROTECTION
์—๊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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