In this course, you’ll take a comprehensive journey through the storage solutions available on Google Cloud, specifically tailored for AI and high-performance computing (HPC) workloads. You’ll learn how to choose the right storage for each stage of the ML lifecycle. You’ll explore how to optimize for I/O performance during training, manage massive datasets for data preparation, and serve model artifacts with low latency. Through practical examples and demonstrations, you’ll gain the expertise to design robust storage solutions that accelerate your AI innovation.
AI Infrastructure: Storage Options
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您将学到什么
Determine the appropriate storage options and storage best practices for each phase of the AI data pipeline.
Determine the right storage solutions within each phase of the AI data pipeline.
Identify storage options and techniques for data preparation, model training, model serving, and data archiving.
Explore example storage architectures for model training and serving.
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December 2025
作业
3 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
该课程共有5个模块
This module offers an overview of the course and outlines the learning objectives.
涵盖的内容
1个插件
This module details the role of storage infrastructure in the AI data pipeline. It covers performance demands, key Google Cloud solutions, and the decision criteria for selecting a service based on capacity, throughput, and latency.
涵盖的内容
1个作业2个插件
This module details the critical phases of data preparation and model training within the AI workflow. It covers optimizing data loading using Cloud Storage, Anywhere Cache, and the Dataflux Dataset tool, while comparing high-performance file systems like Cloud Storage FUSE and Managed Lustre. Additionally, it outlines decision criteria for efficient checkpointing strategies to ensure fault tolerance and minimize GPU idle time.
涵盖的内容
1个作业5个插件
This module details strategies for AI model serving and data archiving. It covers selecting storage—Managed Lustre, Cloud Storage, or Hyperdisk ML—based on scale and latency, and optimization techniques, like GKE Image Streaming and Cloud Storage FUSE, to minimize costs and load times.
涵盖的内容
1个作业6个插件
Student PDF links to all modules
涵盖的内容
1篇阅读材料
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常见问题
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
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Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
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