AI 基礎架構：網路技術

Coursera MOOC / Non-credit USD 49

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About this course

歡迎來到「AI 基礎架構：網路技術」課程。本課程將說明如何運用 Google Cloud 的高頻寬、低延遲基礎架構，最佳化調整 AI 系統所有元件之間的資料傳輸和通訊。最後，您將掌握網路在整個 AI 管道 (從資料擷取、訓練到推論) 發揮的關鍵作用，並採取最佳做法，確保工作負載能以最高速度運作。

What you'll learn

How to optimize network performance for AI systems on Google Cloud
The role of networking across the AI pipeline from data ingestion to inference
Best practices for configuring high-bandwidth, low-latency infrastructure for AI workloads
How to optimize data transfer and communication between AI system components

Course objectives

Understand how networking impacts AI system performance
Apply Google Cloud networking solutions to AI infrastructure challenges
Implement best practices for optimizing AI workload speed and efficiency

Skills you'll gain

google cloud ai infrastructure networking cloud networking data transfer optimization low latency high bandwidth ai pipeline data ingestion model training infrastructure inference optimization distributed ai systems network performance cloud infrastructure

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