Coursera
MOOC / Non-credit
0
AI 基礎架構：網路技術
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。
C
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- Who stands behind it
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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
Artificial Intelligence
Cloud Computing
#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
$49.00
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