AI-Powered Infrastructure and Operations in Telecommunications

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AI-Powered Infrastructure and Operations in Telecommunications (Size: 427.2 MB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
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  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. 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. 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 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. 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
  06. InfiniBand The supersonic rail system for AI.mp4 11 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
  05. The deep learning software stack.mp4 11 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 MB
  07. The three pillars of AI data centres.srt 3.6 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
  03. Foundation models The core of generative AI.mp4 13.5 MB
  03. Foundation models The core of generative AI.srt 3.6 KB

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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