Coursera
Certificate
0
AI Infrastructure: Cloud TPU
About this course
Cloud TPU コースへようこそ。このコースでは、さまざまなシナリオにおける TPU の長所と短所を検討し、各種 TPU アクセラレータを比較して最適なものを選択できるようにします。また、AI モデルのパフォーマンスと効率を最大化する戦略を学び、柔軟な ML ワークフローにおける GPU / TPU の相互運用性の重要性について理解を深めます。魅力的なコンテンツと実践的なデモを通じて、TPU を効果的に活用するための方法を段階的に確認していきます。
C
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- Who stands behind it
- 20/35
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- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- Assess the trade‑offs of TPU versus GPU for specific ML tasks
- Select the appropriate Cloud TPU accelerator based on workload requirements
- Apply performance‑optimisation strategies to improve model speed and cost efficiency
- Design ML workflows that integrate both GPU and TPU resources
Course objectives
- Compare various Cloud TPU accelerators and their use‑cases
- Implement techniques to maximise AI model performance on TPU hardware
- Demonstrate GPU/TPU interoperability in practical demos
Cloud Computing
#machine learning
#cloud computing
#performance optimization
#ai models
#gpu
#tpu
#ml workflows
#interoperability
#hands-on demonstrations
#accelerators
#cloud tpu
#tpu acceleration
#gpu tpu interoperability
#ml workflow optimization
#model performance
#hardware accelerator selection
#tensorflow
#distributed training
#ai infrastructure
$49.00
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