AI Infrastructure: Networking Techniques

213 students enrolled
Welcome to the ""AI Infrastructure: Networking Techniques"" course. While AI Hypercomputer is renowned for its massive computational power using GPUs and TPUs, the secret to unlocking its full potential lies within the network. High-performance computing and large-scale model training demand incredibly fast, low-latency connections to continuously feed processors with data. In this course, you will learn to leverage Google Cloud's high-bandwidth, low-latency infrastructure to optimize data transfer and communication between all the components of your AI system. By the end, you will grasp the critical role networking plays across the entire AI pipeline from data ingestion and training to inference and be able to apply best practices to ensure your workloads run at maximum speed.
CERTIFICATEKatılım Sertifikası
FORMAT100% Online
DURATIONSelf-paced

What you'll learn

  • Google Cloud Platform
  • Virtual Networking
  • Cloud Infrastructure
  • Data Importu002FExport
  • Network Architecture
  • Identity and Access Management
  • Generative AI
  • Network Planning And Design
  • AI Workflows
  • Network Performance Management
  • Network Protocols
  • Network Infrastructure

Details

  • ProviderGoogle Cloud
  • TypeCourse
  • CategorySoftware & Programming
  • LanguageEnglish

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Melis Gülsar
Hızlı desteği ve üst düzey hizmeti ile Campus Online ve Sosyal Medya Sertifika Programı hizmeti sağlayan Adnan Menderes Üniversitesine sonsuz teşekkürlerimi sunuyorum.
Nazif Bayram
$49
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