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Verified Information • Last Updated Mar 2026
AI Infrastructure: Networking Techniques
Welcome to the ""AI Infrastructure: Networking Techniques"" course. While AI Hypercomputer is renowned for its massive computational power using GPUs and TPUs, the secret to unlocking its full potential lies within the network. High-performance computing and large-scale model training demand incredibly fast, low-latency connections to continuously feed processors with data.
In this course, you will learn to leverage Google Cloud's high-bandwidth, low-latency infrastructure to optimize data transfer and communication between all the components of your AI system. By the end, you will grasp the critical role networking plays across the entire AI pipeline from data ingestion and training to inference and be able to apply best practices to ensure your workloads run at maximum speed.
Duration
8 Months
Institution
Google Cloud
Format
Online
Eligibility Criteria
school
Academic Foundation
A recognized Bachelor’s degree or high school equivalent required for admission into Google Cloud.
language
Language Proficiency
English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.
Detailed Fees Breakdown
Base Tuition Fee
$296
Total Est. Investment
$296
Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.
Academic Trajectory
Program Outcome
Graduates of the AI Infrastructure: Networking Techniques program at Google Cloud are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.