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Career Advancement Programme in AI for Esports Marketing

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The Career Advancement Programme in AI for Esports Marketing is a ten-unit professional certificate designed to meet the surge in industry demand for tech-savvy marketers. As esports grows globally, professionals must leverage artificial intelligence to drive engagement and revenue.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

This course equips learners with essential skills in data analytics, predictive modeling, and automated campaigns, and audience segmentation. By mastering these tools, participants gain a competitive edge, enabling them to optimize strategies and enhance fan experiences. The program ensures career advancement by bridging the gap between traditional marketing and cutting-edge AI technologies, preparing graduates for high-impact roles in this dynamic sector.

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์–ด๋””์„œ๋“  ํ•™์Šต

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LinkedIn ํ”„๋กœํ•„์— ์ถ”๊ฐ€

์™„๋ฃŒ๊นŒ์ง€ 2๊ฐœ์›”

์ฃผ 2-3์‹œ๊ฐ„

์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Foundations of AI in Esports Ecosystems
  • Data Analytics for Esports Marketing
  • Predictive Modeling for Fan Engagement
  • AI-Driven Content Creation Strategies
  • Personalization Engines for Fan Experiences
  • Sentiment Analysis in Esports Communities
  • Computer Vision for Match Highlights
  • Ethical AI and Regulatory Compliance
  • Automated Campaign Management Tools
  • Advanced AI for Esports Marketing Growth

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

The Career Advancement Programme in AI for Esports Marketing equips professionals with the skills to leverage artificial intelligence in one of the fastest-growing entertainment sectors.

Graduates are positioned for high-impact roles across the UK's expanding esports ecosystem, focusing on data-driven fan engagement, predictive analytics, and automated content strategies.

Esports Data Analyst (30%): Focus on player performance metrics and audience behavior analysis.

AI Marketing Strategist (25%): Develop automated campaign structures and personalized fan outreach.

Community Engagement Manager (20%): Utilize AI chatbots and sentiment analysis to manage community relations.

Esports Business Intelligence Lead (15%): Oversee high-level data interpretation for team ownership and sponsors.

Content Optimization Specialist (10%): Use generative AI tools to streamline content creation and distribution.

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

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ํš๋“ํ•  ๊ธฐ์ˆ 

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ํšŒ์‚ฌ๋กœ ์ง€๋ถˆ

์ด ๊ณผ์ •์˜ ๋น„์šฉ์„ ์ง€๋ถˆํ•˜๊ธฐ ์œ„ํ•ด ํšŒ์‚ฌ๋ฅผ ์œ„ํ•œ ์ฒญ๊ตฌ์„œ๋ฅผ ์š”์ฒญํ•˜์„ธ์š”.

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๊ฒฝ๋ ฅ ์ธ์ฆ์„œ ํš๋“

์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CAREER ADVANCEMENT PROGRAMME IN AI FOR ESPORTS MARKETING
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of Planning and Management (LSPM)
์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”.
์ƒˆ ๋“ฑ๋ก
4.8

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