AI-Powered Infrastructure and Operations in Telecommunications

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size427.2 MB
  • Uploaded Byfreecoursewb
  • Downloads40
  • Last checkedMay. 15th '26
  • Date uploadedMay. 14th '26
  • Seeders 8
  • Leechers7

Infohash : BDA882A1C3F5A83214384F48E62802392E1BBFBA

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)

Files:

[ WebToolTip.com ] AI-Powered Infrastructure and Operations in Telecommunications
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 01. Introduction
    • 01. Introduction.mp4 (10.4 MB)
    • 01. Introduction.srt (2.1 KB)
    02. 1. Understanding Generative AI, LLMs, and Foundation Models
    • 01. Understanding generative AI.mp4 (12.3 MB)
    • 01. Understanding generative AI.srt (3.5 KB)
    • 02. Understanding large language models.mp4 (8.5 MB)
    • 02. Understanding large language models.srt (3.3 KB)
    • 03. Foundation models The core of generative AI.mp4 (13.5 MB)
    • 03. Foundation models The core of generative AI.srt (3.6 KB)
    03. 2. GPUs and Scalable AI Compute Systems
    • 01. How generative AI solves enterprise challenges.mp4 (12.9 MB)
    • 01. How generative AI solves enterprise challenges.srt (3.9 KB)
    • 02. Why GPUs power generative AI.mp4 (16.2 MB)
    • 02. Why GPUs power generative AI.srt (3.6 KB)
    • 03. Inside the GPU The AI factory.mp4 (16.2 MB)
    • 03. Inside the GPU The AI factory.srt (3.7 KB)
    • 04. The power of parallel processing.mp4 (10.8 MB)
    • 04. The power of parallel processing.srt (3.5 KB)
    • 05. CPU vs GPU The right tool for the job.mp4 (12.8 MB)
    • 05. CPU vs GPU The right tool for the job.srt (3.5 KB)
    • 06. GPU server systems scaling beyond single GPUs.mp4 (15.5 MB)
    • 06. GPU server systems scaling beyond single GPUs.srt (3.7 KB)
    04. 3. AI Software, Virtualization, and Data Centre Foundations
    • 01. GPUs The power grid for AI.mp4 (12.4 MB)
    • 01. GPUs The power grid for AI.srt (3.5 KB)
    • 02. Virtual GPU sharing power maximizing efficiency.mp4 (12.4 MB)
    • 02. Virtual GPU sharing power maximizing efficiency.srt (4.5 KB)
    • 03. GPU virtualization intelligent fleet management for AI.mp4 (15.4 MB)
    • 03. GPU virtualization intelligent fleet management for AI.srt (4.4 KB)
    • 04. Machine learning and deep learning frameworks.mp4 (10.6 MB)
    • 04. Machine learning and deep learning frameworks.srt (4.0 KB)
    • 05. The deep learning software stack.mp4 (11.0 MB)
    • 05. The deep learning software stack.srt (4.1 KB)
    • 06. Where does AI live.mp4 (16.5 MB)
    • 06. Where does AI live.srt (3.2 KB)
    • 07. The three pillars of AI data centres.mp4 (14.0 MB)
    • 07. The three pillars of AI data centres.srt (3.6 KB)
    05. 4. AI Data Centre Architecture and Networking
    • 01. Managing and monitoring an AI data centre.mp4 (13.7 MB)
    • 01. Managing and monitoring an AI data centre.srt (4.7 KB)
    • 02. The modern data centre platform.mp4 (11.7 MB)
    • 02. The modern data centre platform.srt (4.8 KB)
    • 03. Multi GPU systems powering telecom AI.mp4 (18.1 MB)
    • 03. Multi GPU systems powering telecom AI.srt (4.8 KB)
    • 04. The four networks of an AI data centre.mp4 (10.4 MB)
    • 04. The four networks of an AI data centre.srt (3.6 KB)
    • 05. Networking for AI workloads.mp4 (18.5 MB)
    • 05. Networking for AI workloads.srt (5.3 KB)
    • 06. InfiniBand The supersonic rail system for AI.mp4 (11.0 MB)
    • 06. InfiniBand The supersonic rail system for AI.srt (3.9 KB)
    • 07. The silent crisis of AI infrastructure.mp4 (13.7 MB)
    • 07. The silent crisis of AI infrastructure.srt (4.9 KB)
    • 08. Storage file systems for AI data centres.mp4 (12.3 MB)
    • 08. Storage file systems for AI data centres.srt (4.4 KB)
    06. 5. Performance and Cloud AI Infrastructure
    • 01. Storage performance for AI The championship pit crew.mp4 (17.9 MB)
    • 01. Storage performance for AI The championship pit crew.srt (4.3 KB)
    • 02. Energy efficiency in AI data centres.mp4 (11.7 MB)
    • 02. Energy efficiency in AI data centres.srt (3.3 KB)
    • 03. Why GPU cooling architecture matters.mp4 (18.1 MB)
    • 03. Why GPU cooling architecture matters.srt (4.9 KB)
    • 04. Reference architectures and AI in the cloud.mp4 (18.6 MB)
    • 04. Reference architectures and AI in the cloud.srt (4.4 KB)
    • 05. AI in the cloud.mp4 (15.8 MB)
    • 05. AI in the cloud.srt (4.4 KB)
    07. 6. Cloud AI Deployment and Telecom Use Cases
    • 01. Conclusion.mp4 (4.4 MB)
    • 01. Conclusion.srt (1.2 KB)
    • 02. Deploying AI in the cloud A strategic blueprint.mp4 (10.1 MB)
    • 02. Deploying AI in the cloud A strategic blueprint.srt (3.3 KB)
    • Bonus Resources.txt (0.1 KB)

Code:

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