Undergraduate Certificate in Sports AI and Strategy

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The Undergraduate Certificate in Sports AI and Strategy is a cutting-edge program designed to equip learners with essential skills in sports analytics, artificial intelligence, and strategic decision-making. This course is critical for individuals seeking to excel in the rapidly evolving sports industry, where data-driven decisions are becoming increasingly important.

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ใ“ใฎใ‚ณใƒผใ‚นใซใคใ„ใฆ

With a focus on real-world applications, this program covers key topics such as data analysis, machine learning, statistical modeling, and strategic planning. Learners will gain hands-on experience working with sports data and developing AI-powered tools to analyze and interpret that data. The course is designed to meet the growing demand for experts who can use data and AI to inform strategic decisions in sports. By completing this program, learners will be well-positioned to advance their careers in sports analytics, coaching, management, and related fields. They will have the skills and knowledge needed to help teams and organizations make data-driven decisions and gain a competitive edge.

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ใ‚ณใƒผใ‚น่ฉณ็ดฐ

โ€ข Introduction to Sports AI <t;br> โ€ข Data Analysis in Sports <t;br> โ€ข Machine Learning Applications in Sports <t;br> โ€ข Computer Vision for Sports Analytics <t;br> โ€ข Natural Language Processing in Sports Media <t;br> โ€ข AI-driven Strategy in Sports Management <t;br> โ€ข Ethical Considerations in Sports AI <t;br> โ€ข Advanced Topics in Sports AI (e.g., Reinforcement Learning, Graph Neural Networks) <t;br> โ€ข Sports AI Capstone Project <t;br> โ€ข Industry Trends and Future Directions in Sports AI <t;br>

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ใ“ใฎใ‚ณใƒผใ‚นใฎๆ”ฏๆ‰•ใ„ใฎใŸใ‚ใซไผš็คพ็”จใฎ่ซ‹ๆฑ‚ๆ›ธใ‚’ใƒชใ‚ฏใ‚จใ‚นใƒˆใ—ใฆใใ ใ•ใ„ใ€‚

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ใ‚ญใƒฃใƒชใ‚ข่จผๆ˜Žๆ›ธใ‚’ๅ–ๅพ—

ใ‚ตใƒณใƒ—ใƒซ่จผๆ˜Žๆ›ธใฎ่ƒŒๆ™ฏ
UNDERGRADUATE CERTIFICATE IN SPORTS AI AND STRATEGY
ใซๆŽˆไธŽใ•ใ‚Œใพใ™
ๅญฆ็ฟ’่€…ๅ
ใงใƒ—ใƒญใ‚ฐใƒฉใƒ ใ‚’ๅฎŒไบ†ใ—ใŸไบบ
London School of International Business (LSIB)
ๆŽˆไธŽๆ—ฅ
05 May 2025
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