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Certificate Programme in Edge Computing for Live Streaming

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The Certificate Programme in Edge Computing for Live Streaming addresses the critical industry demand for low-latency, high-performance streaming solutions. This comprehensive ten-unit curriculum empowers learners with essential skills in edge infrastructure, real-time data processing, and content delivery networks.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

As live streaming becomes integral to entertainment, sports, and corporate communications, professionals with specialized edge computing knowledge are highly sought after. This course bridges the gap between traditional cloud computing and edge deployment, enabling participants to optimize bandwidth and reduce latency. By mastering these technologies, graduates are well-positioned for career advancement, capable of designing scalable architectures that meet the rigorous demands of modern digital audiences and drive innovation in the rapidly evolving tech landscape.

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์–ด๋””์„œ๋“  ํ•™์Šต

๊ณต์œ  ๊ฐ€๋Šฅํ•œ ์ธ์ฆ์„œ

LinkedIn ํ”„๋กœํ•„์— ์ถ”๊ฐ€

์™„๋ฃŒ๊นŒ์ง€ 2๊ฐœ์›”

์ฃผ 2-3์‹œ๊ฐ„

์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Edge Computing Architectures
  • Network Fundamentals for Low-Latency Media
  • Protocols for Live Video Streaming
  • Edge Node Deployment and Orchestration
  • Content Delivery Networks at the Edge
  • Real-Time Video Processing and Transcoding
  • Quality of Experience Optimization
  • Security and Privacy in Edge Streaming
  • Monitoring, Analytics, and Telemetry
  • Edge Computing for Live Streaming Integration

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Graduates of the Certificate Programme in Edge Computing for Live Streaming are well-positioned for high-demand roles in the UK's rapidly expanding digital media and telecommunications sectors.

The following breakdown illustrates the primary career paths available to professionals with specialized expertise in low-latency video delivery, edge infrastructure, and real-time streaming technologies.

Live Streaming Engineer (30%) - Focuses on deploying and maintaining real-time streaming services on edge nodes, ensuring minimal latency and high availability for viewers across the UK.

Edge Infrastructure Specialist (25%) - Manages the hardware and software infrastructure at the network edge, optimizing resource allocation for video processing and content delivery networks (CDNs).

Video Codec Developer (20%) - Works on advanced video compression algorithms and standards (such as H.265/HEVC or AV1) to enhance streaming efficiency and reduce bandwidth consumption.

Streaming Solutions Architect (15%) - Designs end-to-end streaming architectures for broadcasters and OTT platforms, integrating edge computing solutions for scalable and resilient live events.

Network Performance Analyst (10%) - Monitors and analyzes network traffic and performance metrics to troubleshoot issues and optimize the delivery of live video content over edge networks.

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ํš๋“ํ•  ๊ธฐ์ˆ 

Network Optimization Low Latency Edge Processing Live Streaming

์ฝ”์Šค ์ˆ˜๊ฐ•๋ฃŒ

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๊ฒฝ๋ ฅ ์ธ์ฆ์„œ ํš๋“

์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CERTIFICATE PROGRAMME IN EDGE COMPUTING FOR LIVE STREAMING
์—๊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
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