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If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

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AI Infrastructure: Deployment Types

AI Infrastructure: Deployment Types

Instructor: Google Cloud Training

Included with

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6 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

5 hours to complete

Flexible schedule

Learn at your own pace

6 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Some related experience required

5 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Describe the process of creating a GPU-accelerated cluster.
Identify how to provision a GPU-accelerated cluster on GCE.
Identify how to provision a GPU-accelerated cluster on GKE.
Identify how to deploy AI inference workloads on GKE.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

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

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There are 6 modules in this course

This course provides a comprehensive guide to deploying, managing, and optimizing AI and high-performance computing (HPC) workloads on Google Cloud. Through a series of lessons and practical demonstrations, you’ll explore diverse deployment strategies, ranging from highly customizable environments using Google Compute Engine (GCE) to managed solutions like Google Kubernetes Engine (GKE). Specifically, you’ll learn how to create clusters and deploy GKE for inference.

This module offers an overview of the course and outlines the learning objectives.

What's included

1 plugin

This module details the AI Hypercomputer cluster creation process. It covers the key decisions required, including choosing a machine type, consumption option, deployment option, orchestrator, and cluster image.

What's included

1 assignment6 plugins

This module identifies key configuration options and optimization techniques for deploying an AI Hypercomputer cluster on Google Compute Engine (GCE). It covers selecting machine types, accelerator OS images, deployment options, and strategies for optimizing network performance.

What's included

1 assignment4 plugins

This module identifies configuration options for deploying an AI Hypercomputer cluster on Google Kubernetes Engine (GKE). It covers containerization, GKE modes of operation, networking configurations, and workload optimization techniques like distributed training and GPU sharing.

What's included

1 assignment4 plugins

This module examines optimization techniques for architecting an inference workload on GKE. It covers the GKE inference workflow, key infrastructure and model-level optimizations.

What's included

1 assignment4 plugins

Student PDF links to all modules

What's included

1 reading

Instructor

Google Cloud Training

Google Cloud

2,103 Courses 3,988,598 learners

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Frequently asked questions

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.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

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.

AI Infrastructure: Deployment Types

AI Infrastructure: Deployment Types

What you'll learn

Skills you'll gain

Tools you'll learn

Details to know

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

There are 6 modules in this course

Course overview

What's included

Cluster creation process

What's included

Creating a cluster with Compute Engine

What's included

Building with Google Kubernetes Engine (GKE)

What's included

Deploying with GKE for Inference

What's included

Course Resources

What's included

Instructor

Offered by

Explore more from Software Development

AI Infrastructure: Storage Options

Google Cloud AI Infrastructure

Deploy and Optimize Cloud AI Architectures

Manage Scalable Workloads in GKE

Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.

Open new doors with Coursera Plus

Advance your career with an online degree

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

Frequently asked questions

Can I preview a course before enrolling?

When will I have access to the lectures and assignments?

What will I get when I enroll?

More questions