Current

Intermediate

40% Off

Google Cloud AI Infrastructure

Coursera · Google Cloud · Updated March 2026

Platform rating

4.4/5

AI Tutor Rating

8.2/10

Duration

1-3 months

Classes

60

Learn to build and manage AI infrastructure on Google Cloud including GPU management, distributed training, and performance optimization.

What you'll get

Manage GPU clusters and distributed training

Optimize cloud AI costs and resource allocation

Build AI infrastructure on GCP

Course Curriculum

6 chapters

Fit

Best for

Software Engineers

DevOps/MLOps Engineers

Data Engineers

Platform Engineers

Not ideal for

Learners seeking only entry-level overviews

Prerequisites & pricing

Prerequisites

Cloud basics, ML fundamentals

Pricing

Subscription

Certification

Certificate

Growth Leverage: Completing the Google Cloud AI Infrastructure course positions you for roles such as AI Infrastructure Engineer, Cloud Solutions Architect, or Machine Learning Operations Specialist. This certification can also pave the way for advanced certifications like Google Professional Machine Learning Engineer, significantly enhancing career prospects in cloud AI environments.

Skills Value: Employers pay a premium for skills in GPU management and distributed training, with salaries for AI Infrastructure Engineers often exceeding $120,000 annually. By mastering cloud AI infrastructure, you can directly reduce operational costs and improve training performance, addressing key challenges in AI deployment.

Google Cloud

GPU

AI Infrastructure

Distributed Training

Performance

ShareCompare

Add to StackGo to Course

Alternatives to Google Cloud AI Infrastructure

Compare

Current

Manage AI-Ready Infrastructure on Azure

Microsoft Learn (AI & Azure AI) · Microsoft

4.7

8.7/10

5 hours 58 minutes

Learn to manage GPU clusters, AI workload scheduling, and infrastructure for training and deploying AI models at scale on Azure.

Free

ViewAddCompare

The course "Introduction to AWS Cloud" is designed for individuals with no prior experience, as well as for those who have only recently started working ...

Hands-on labs and real-world scenarios will help learners gain practical experience with AWS cloud solutions, DevOps automation, and cloud security.

In this class you will learn how to run docker application on AWS cloud with the help of AWS ECS Fargate and AWS ECS (Elastic Container Services) with EC2 ...