Google Cloud
Google Cloud AI Infrastructure Specialization

Discover new skills with 30% off courses from industry experts. Save now.

Google Cloud

Google Cloud AI Infrastructure Specialization

Build and manage the infrastructure that powers AI. Build, deploy, and manage the Infrastructure for AI workloads.

Included with Coursera Plus

Get in-depth knowledge of a subject
Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
Intermediate level

Recommended experience

4 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand the core concepts of AI Hypercomputer architecture and its value.

  • Analyze the advantages and disadvantages of various deployment and provisioning options for AI infrastructure.

  • Select the optimal accelerator (GPU, TPU) for a given AI/ML workload.

  • Evaluate the performance and efficiency of AI workloads on different accelerators to maximize business value.

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English
Recently updated!

August 2025

See how employees at top companies are mastering in-demand skills

 logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Google Cloud

Specialization - 3 course series

What you'll learn

  • Define the value and architecture of the AI Hypercomputer

  • Identify common use cases for using AI Hypercomputer

  • Explain how different types of accelerators (GPUs, TPUs, CPUs) contribute to the acceleration of AI training and inference.

  • Differentiate between various deployment options and choose the options that best suits your requirements.

Skills you'll gain

Category: Cloud Infrastructure
Category: Systems Architecture
Category: Google Cloud Platform
Category: Infrastructure Architecture
Category: Hardware Architecture
Category: Application Deployment
Category: Artificial Intelligence
Category: Cloud Computing Architecture
Category: Performance Tuning
Category: Computer Architecture

What you'll learn

  • Define the value and architecture of Graphics Processing Units (GPUs)

  • Select the appropriate GPU machine type and provisioning platform to run your GPU-accelerated clusters

  • Explore various techniques for optimizing your GPU usage

Skills you'll gain

Category: Performance Tuning
Category: Computer Architecture
Category: Cloud Infrastructure
Category: Infrastructure As A Service (IaaS)
Category: Cloud Computing Architecture
Category: Hardware Architecture
Category: Cloud Platforms
Category: Artificial Intelligence
Category: Tensorflow
Category: Google Cloud Platform

What you'll learn

  • Discuss the advantages and disadvantages of using TPUs in different scenarios.

  • Choose the right TPU option to fit your specific needs

  • Implement strategies to maximize performance and efficiency when running business-related AI workloads on TPUs.

  • Explain the concept of GPU/TPU fungibility and its significance for creating flexible machine learning workflows.

Skills you'll gain

Category: Interoperability
Category: Business Workflow Analysis
Category: Tensorflow
Category: Cloud Infrastructure
Category: Cloud Computing Architecture
Category: Performance Tuning
Category: Google Cloud Platform
Category: Benchmarking
Category: Product Demonstration
Category: Performance Improvement
Category: Systems Architecture

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Google Cloud Training
Google Cloud
1,927 Courses3,560,537 learners

Offered by

Google Cloud

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Coursera Plus

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions