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AI-Powered Infrastructure and Operations in Telecommunications torrent


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Info hash: BDA882A1C3F5A83214384F48E62802392E1BBFBA
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Health:
 seeds: 1, leechers: 15
Torrent language: English English
Total Size: 427.20 MB
Number of files:
66   
Uploader:
freecoursewb
Torrent added:2026-05-14 06:56:16

Download AI-Powered Infrastructure and Operations in Telecommunications torrent




Torrent Description
AI-Powered Infrastructure and Operations in Telecommunications
https://WebToolTip.com
Released 5/2026

With Rahul Kaundal and Itelcotech

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 40m | Size: 428 MB
Explore hardware, software, and data centre architectures that power generative AI and LLMs at scale—from GPUs and virtualization to InfiniBand and cloud deployment.
Course details

Explore the essential components of AI-powered infrastructure and operations in telecommunications through this comprehensive course. Gain insights about the fundamental concepts of generative AI and large language models, essential for tackling telecom-specific challenges. Examine how GPUs serve as a crucial power grid, enabling parallel processing and efficient resource utilization. Review the deep learning software stack and GPU virtualization, learning how to maximize efficiency in AI data centers. Learn how to manage performance and energy efficiency while navigating complex multi-GPU systems and data center architectures. Discover the significance of InfiniBand, networking, and storage solutions tailored for AI workloads. Learn how to optimize your AI infrastructure. By the end of this course, you'll be equipped with the knowledge of how to design and implement cutting-edge AI deployment strategies in the cloud, bridging the gap between theory and practice in telecom settings. Audience Professionals working in the telecom industry AI engineers Technical enthusiasts AI engineers expanding into telecom Tech managers and decision-makers Students and researchers
Skills covered

Graphics Processing Unit, Generative AI, Telecommunications, AI for IT Operations (AIOps)

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