• views: 118
• date: 9 May 2026
• posted by: 0nelove

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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