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DataCamp

Google Cloud AI Infrastructure

via DataCamp Path

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Overview

This learning path, designed for intermediate to advanced technical learners, offers on-demand courses to specialize in AI Infrastructure on Google Cloud. You'll gain the knowledge and skills to design and deploy high-performance AI/ML solutions using Google Cloud's AI Hypercomputer, GPUs, TPUs, Compute, and Google Kubernetes Engine. Optimize every layer of your AI Infrastructure solutions, from storage and networking to orchestration and best practices, to redefine what's possible with Google AI Infrastructure.

Syllabus

  • AI Infrastructure: Introduction to AI Hypercomputer
    • You'll learn about the different components inside a hypercomputer, like GPUs, TPUs, and CPUs, and discover how to pick the right one for your needs.
  • AI Infrastructure: Cloud GPUs
    • We'll explore how CPUs, GPUs, and TPUs make AI tasks super fast, what makes each one unique, and how AI software gets the most out of them.
  • AI Infrastructure: Cloud TPUs
  • AI Infrastructure: Deployment Types
    • A guide to deploying, managing, and optimizing AI and high-performance computing (HPC) workloads on Google Cloud.
  • AI Infrastructure: Storage Options
    • Journey through the storage solutions available on Google Cloud, specifically tailored for AI and high-performance computing (HPC) workloads.
  • AI Infrastructure: Networking Techniques
    • Design and deploy high-performance AI/ML solutions using Google Cloud's AI Hypercomputer, GPUs, TPUs, Compute, and Google Kubernetes Engine.

Taught by

Google Cloud

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