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Getting Started with Google Kubernetes Engine

Google Cloud Training

Welcome to the Getting Started with Google Kubernetes Engine course. If you're interested in Kubernetes, a software layer that sits between your applications and your hardware infrastructure, then you’re in the right place! Google Kubernetes Engine brings you Kubernetes as a managed service on Google Cloud.

Read more

Welcome to the Getting Started with Google Kubernetes Engine course. If you're interested in Kubernetes, a software layer that sits between your applications and your hardware infrastructure, then you’re in the right place! Google Kubernetes Engine brings you Kubernetes as a managed service on Google Cloud.

The goal of this course is to introduce the basics of Google Kubernetes Engine, or GKE, as it’s commonly referred to, and how to get applications containerized and running in Google Cloud. The course starts with a basic introduction to Google Cloud, and is then followed by an overview of containers and Kubernetes, Kubernetes architecture, and Kubernetes operations.

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What's inside

Syllabus

Course Introduction
The course introduction explains the course goals and previews each section.
Introduction to Google Cloud
The first section of this course introduces cloud computing concepts. Learners explore fundamental terminology, the Google Cloud network, how Google Cloud resources are organized in an hierarchy for management, and the tools available to connect to Google Cloud for allocating, changing, and releasing resources.
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Introduction to Containers and Kubernetes
The second section of this course examines software containers and the benefit they bring to application deployment. Learners explore containers and container images, Cloud Build, Kubernetes, and Google Kubernetes Engine.
Kubernetes Architecture
The third section of this course explores the components of a Kubernetes cluster and how they work together. Learners deploy a Kubernetes cluster by using Google Kubernetes Engine, deploy Pods to a GKE cluster, and view and manage different Kubernetes objects.
Kubernetes Operations
The final section of this course introduces the kubectl command, which is the command line utility used to interact with and manage the resources inside Kubernetes clusters. Learners are introduced to the concept of introspection, then get practice deploying Google Kubernetes Engine clusters from Cloud Shell.
Course Summary
The course summary recaps the major concepts learners were introduced to during the course.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Examines Google Cloud and Kubernetes fundamentals, likely relevant for beginners
Taught by Google Cloud Training, known for their expertise in Google Cloud computing
Develops foundational Kubernetes skills and knowledge, useful for beginners in the field
May help learners deploy Kubernetes clusters and related objects in Google Cloud
Emphasizes the use of kubectl for Kubernetes cluster management, a common tool in industry
Content includes labs and interactive materials for hands-on learning

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Reviews summary

Kubernetes engine 101

Learners say this course is largely positive and well received for providing a thorough introduction to Google Kubernetes Engine (GKE) and Kubernetes concepts. They especially appreciate the course's hands-on labs, which give them practical experience with CI/CD pipelines, Jenkins, and Spinnaker using GKE. However, some learners note that the course can be fast-paced and challenging for beginners, and that some of the labs have technical issues. Overall, learners recommend this course for those who are new to GKE and want to gain hands-on experience with Kubernetes.
good job
"Completo"
"Very good"
"great"
"Great !!"
"excellent"
"Good training"
"Greate Course "
"Amazing course"
"Amazing course!"
"excelente curso"
"Course was good."
"Very good course"
"awesome course!!!"
"Super insightful!"
"Excellent course."
"well written examples."
"very learning! many fun!"
"I ve learn a lot, thanks"
"Awesome course! Thank you."
"Great introduction to GKE!!"
"Very interesting view of Kubernetes landscape"
"this is a nice course with practical knowledge"
"Excellent course must recommend for beginners."
practical labs are very nice
"It is an excellent course with very well documented and educational labs."
"Amazing Course. The Hands-On Experience through Lab was just wonderful !!!!"
read through the slides in the videos like he's never seen them before
"The other instructor spoke as if he was seeing the slides for the very first time - it felt like he was making up explanations of the material as he went along, sometimes doing little more than reading some of the key words from the bullets on the slides."
too short for my liking :)
"The course was tepid at best without the labs and quizzes."
"I wish I could rate the video portions of the course separately from the hands-on labs."
"I regret taking this class...the presentation of the material can be described as HORRIBLE... very abstract and too generic."
t​he lab sessions are full of errors
"One of the worst f**king courses i have ever done in my life."
"I think this could be better, I think the most interesting thing is the concept of cluster, pod and node, jenkins and spinnaker labs are so long, boring and buggy"
"This course had a lot of information packed into a short time."
"I learned what Kubernetes is and how it works on a high level."
"Shorten the labs to small chunks."
"Text below the videos is clearly fabricated by Google Cloud Speech API."
"Zero support."
"There needs to be material which challenges you to try and make things work on your own."
"This is a shame, I could not complete the course due to Quizlab issue."
"This course needs a review and a overhaul."
"Not splitted by weeks, so small theory material, I regret to pay for that course."
"There is bug in the last step preventing you to finish the course."
"This course was more GCE specific, that just any Kubernetes enviroment."
"A comprehensive course for starters that is rich in hands-on exercises."
"Fantastic crash-course that crams a vast amount of information into a small learning window."
"I was really glad to take this course."
"There is no way to have a direct contact with coursera."
"The first lab I was able to find suggestions on the internet in correcting the error."
"The 2nd lab I wasn't."
"Didn't learn much, since the videos are short and the lab had all the commands stated, I just had to copy and paste it to the console, there were lots of complex scripts but a very short explanation was provided."
"The labs are great, but in many stages the instruction ask only for blind obedience instead of trying to explain what is actually happening."
"Excellent Overview of GKE with practical labs."
"Concepts are not at all clear."
"Lectures are not good."
"Spent 5 hours on this course just trying to get through the first lab."
"While the first half is somewhat useful in grasping different k8s elements and how they relate to one another, the part about continuous integration is a complete waste of time and effort."
"Concise, comprehensive, and hands-on."
"Very High Level Introduction to The Use case and Hands On Practical Lab Allowed Me to Experience and Learn How The World Of Cloud Computing Operates With the Knowledge Of the Fundamentals of Container,use case of Kubernetes engine and its Application like Jenkins It Well Help Me to Prioritize Cloud Over anY other Technology as It Offers Continuous Integration and Delivery."
"It's a good start, but it's just a start, you will need more."
"The course was tepid at best without the labs and quizzes."
"I really had an awesome experience on this course with Google Cloud Platform for Kubernetes Applications and a working Continuous Delivery pipeline architecture."
"The final lab (using Spinnaker) has been broken for a month now."
"The first bits were fine, the jenkins and spinnaker parts... just, "why"?"
"The fact that you have the option in the labs to not only "follow the line" and execute the commands described, but also execute whatever you want and use Linux CLI knowledge was fun."
"Apparently dozens of learners can't finish because one of the labs (marked "optional", interestingly) has a code problem and can't be done for full credit."
"I cannot recommend this course."
"I wish I could rate the video portions of the course separately from the hands-on labs."
"I'm sure that both of the instructors are very knowledgeable and experienced; however...."
"The one instructor just read from a script in a very monotone voice, which made it difficult to stay engaged."
"The other instructor spoke as if he was seeing the slides for the very first time - it felt like he was making up explanations of the material as he went along, sometimes doing little more than reading some of the key words from the bullets on the slides."
"Very disappointing."
"I found the content to be insightful and valuable for someone starting with Kubernetes."
"However, I encountered challenges with the labs in the 2nd and 5th weeks."
"The labs were quite time-consuming and challenging for a beginner like myself."
"Despite completing 94% of the course content, I faced difficulty completing the labs fully."
"Specifically, I managed to finish only 65% of the lab work, and the allotted lab time was exhausted before I could complete everything."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Getting Started with Google Kubernetes Engine with these activities:
Review concepts of containers and Kubernetes
Review the basics of containers and Kubernetes before the start of the course to strengthen your foundational understanding.
Browse courses on Containers
Show steps
  • Read online articles or blog posts about containers and Kubernetes
  • Watch introductory videos or tutorials on the same topics
  • Try out a hands-on tutorial on creating and managing a simple container
Review Kubernetes concepts and vocabulary
Refreshing your understanding of key terms and concepts will provide a solid foundation.
Browse courses on Kubernetes Concepts
Show steps
  • Go through your course notes or online materials to review Kubernetes concepts.
Review Kubernetes documentation
Referencing the official documentation will enhance your understanding of Kubernetes concepts.
View Kubernetes: Up and Running: Dive into the... on Amazon
Show steps
  • Read through the Kubernetes documentation online or in a physical copy.
16 other activities
Expand to see all activities and additional details
Show all 19 activities
Gather resources on Kubernetes best practices
Compile a collection of resources that provide guidance on best practices for designing, deploying, and managing Kubernetes applications.
Browse courses on Kubernetes Architecture
Show steps
  • Search for articles, blog posts, and documentation on Kubernetes best practices
  • Use Google Scholar or other academic databases to find research papers on the topic
  • Organize the resources into a curated collection
Review Kubernetes Basics
Review the core concepts of Kubernetes to strengthen your foundation before diving into the course.
Browse courses on Kubernetes
Show steps
  • Re-read the course introduction to refresh your memory on Kubernetes.
  • Go through the Kubernetes documentation to review the basics.
  • Complete a short online tutorial on Kubernetes.
Setting up Google Kubernetes Engine
Deepen your understanding of Google Kubernetes Engine setup by following tutorials on the topic.
Browse courses on Google Kubernetes Engine
Show steps
  • Identify a reliable source for tutorials on Google Kubernetes Engine setup.
  • Set aside dedicated time to work through the tutorials.
  • Take notes and experiment with the concepts covered in the tutorials.
Create a Kubernetes cluster
Practice deploying a Kubernetes cluster using Google Kubernetes Engine to solidify your understanding of cluster architecture and deployment.
Browse courses on Kubernetes Cluster
Show steps
  • Create a Kubernetes cluster using gcloud
  • Verify the cluster is running by using kubectl
Follow Kubernetes tutorials
Following guided tutorials will provide you with practical examples and reinforce your learning.
Show steps
  • Search for tutorials on deploying and managing Kubernetes clusters.
  • Follow the tutorials step-by-step to gain hands-on experience.
Explore Google Cloud Platform tutorials
Supplement your learning by following guided tutorials that demonstrate practical applications of Google Cloud Platform and Google Kubernetes Engine.
Browse courses on Google Cloud Platform
Show steps
  • Identify specific topics or areas you want to explore further
  • Search for and select relevant tutorials from the Google Cloud Platform documentation
  • Follow the instructions and complete the hands-on exercises in the tutorials
Practice deploying and managing containers
Hands-on practice with containers and Kubernetes will solidify your understanding.
Show steps
  • Set up a local Kubernetes environment using Docker.
  • Deploy a simple containerized application.
  • Manage the deployed application using Kubernetes commands.
Kubernetes Deployments and Pods
Solidify your understanding of Kubernetes deployments and pods through repetitive exercises.
Browse courses on Kubernetes Deployments
Show steps
  • Find online resources or coding challenges that focus on Kubernetes deployments and pods.
  • Set aside regular practice sessions to work on these exercises.
  • Review your solutions and identify areas for improvement.
Managing Kubernetes Pods
Complete a tutorial on managing Kubernetes Pods to gain hands-on experience with creating, modifying, and deleting Pods.
Browse courses on Kubernetes PODs
Show steps
  • Find a tutorial on managing Kubernetes Pods
  • Follow the tutorial to create a Pod
  • Use kubectl to modify the Pod
  • Delete the Pod
Build a sample Kubernetes application
Creating a Kubernetes application from scratch will provide you with valuable experience.
Show steps
  • Design and implement a simple application using your preferred programming language.
  • Containerize the application using Docker or similar tools.
  • Deploy the containerized application to a Kubernetes cluster.
Practice deploying Kubernetes clusters
Reinforce your understanding of Kubernetes operations by practicing the deployment of Kubernetes clusters on Google Kubernetes Engine.
Browse courses on Kubernetes Architecture
Show steps
  • Create a Google Cloud Platform account if you don't have one
  • Set up Google Kubernetes Engine using the Google Cloud Console or command line
  • Deploy a simple Kubernetes cluster
  • Try out different deployment options and configurations
Participate in online forums or discussion groups
Engaging with peers will expose you to diverse perspectives and deepen your understanding.
Show steps
  • Join online forums or discussion groups dedicated to Kubernetes.
  • Participate in discussions, ask questions, and share your knowledge.
Containerized Application Deployment
Apply your knowledge by deploying a containerized application on Google Kubernetes Engine.
Browse courses on Containerized Applications
Show steps
  • Choose a simple containerized application to deploy.
  • Create a Google Kubernetes Engine cluster.
  • Deploy your containerized application to the cluster.
  • Monitor the deployment and make adjustments as needed.
Write a blog post or article on a Kubernetes topic
Explaining Kubernetes concepts to others will reinforce your own understanding.
Show steps
  • Choose a specific Kubernetes topic to write about.
  • Research the topic thoroughly and gather relevant information.
  • Write a clear and concise blog post or article.
Develop a small-scale Kubernetes application
Apply your knowledge by creating a simple Kubernetes application that demonstrates your understanding of Kubernetes concepts and GKE.
Browse courses on Kubernetes Operations
Show steps
  • Design and plan your application, including the components and their interactions
  • Create Docker images for your application components
  • Write Kubernetes manifests to define your application's deployment
  • Deploy your application to a Kubernetes cluster on GKE
  • Test and monitor your application's performance
Contribute to open-source Kubernetes projects
Deepen your understanding of Kubernetes by contributing to open-source projects related to Kubernetes or GKE.
Browse courses on Google Kubernetes Engine
Show steps
  • Identify open-source Kubernetes projects that align with your interests or skills
  • Review the project documentation and codebase
  • Identify areas where you can contribute, such as bug fixes, feature enhancements, or documentation improvements
  • Submit your contributions and engage with the project community

Career center

Learners who complete Getting Started with Google Kubernetes Engine will develop knowledge and skills that may be useful to these careers:
Kubernetes Engineer
Kubernetes Engineers are responsible for designing, deploying, and managing Kubernetes clusters. They use their knowledge of Kubernetes architecture and operations to ensure that applications run smoothly and efficiently in the cloud. This course can help those wishing to start a career as a Kubernetes Engineer by providing a foundation in Kubernetes concepts and operations. The course's coverage of deploying Kubernetes clusters on Google Kubernetes Engine can be particularly beneficial for those wishing to work with Kubernetes on Google Cloud.
See salaries and explore the career path for Kubernetes Engineer
DevOps Engineer
DevOps Engineers are responsible for bridging the gap between development and operations teams. They use their knowledge of both software development and infrastructure management to improve the speed and efficiency of software delivery. This course can help those wishing to transition into a career as a DevOps Engineer by providing a foundation in Kubernetes, a key technology for automating and managing the deployment and operation of software applications. The course's coverage of Kubernetes architecture and operations can be particularly beneficial for those wishing to work with Kubernetes in a DevOps environment.
See salaries and explore the career path for DevOps Engineer
Network Engineer
Network Engineers are responsible for designing and managing computer networks. They use their knowledge of networking concepts and technologies to ensure that networks are reliable, secure, and performant. This course can help those wishing to transition into a career as a Network Engineer by providing a foundation in Kubernetes, a key technology for managing and scaling network infrastructure. The course's coverage of Kubernetes architecture and operations can be particularly beneficial for those wishing to work with Kubernetes in a network engineering environment.
See salaries and explore the career path for Network Engineer
Data Engineer
Data Engineers are responsible for designing and managing data pipelines. They use their knowledge of data engineering tools and technologies to gather, clean, and process data for analysis and reporting purposes. This course can help those wishing to transition into a career as a Data Engineer by providing a foundation in Kubernetes, a key technology for managing and scaling data processing pipelines. The course's coverage of Kubernetes architecture and operations can be particularly beneficial for those wishing to work with Kubernetes in a data engineering environment.
See salaries and explore the career path for Data Engineer
Site Reliability Engineer
Site Reliability Engineers are responsible for ensuring the reliability and performance of software systems. They use their knowledge of software development, infrastructure management, and data analysis to identify and resolve issues that can affect system uptime and performance. This course can help those wishing to transition into a career as a Site Reliability Engineer by providing a foundation in Kubernetes, a key technology for automating and managing the deployment and operation of software applications. The course's coverage of Kubernetes architecture and operations can be particularly beneficial for those wishing to work with Kubernetes in a production environment.
See salaries and explore the career path for Site Reliability Engineer
DevOps Manager
DevOps Managers are responsible for leading and managing DevOps teams. They use their knowledge of DevOps concepts and practices to improve the speed and efficiency of software delivery. This course can help those wishing to transition into a career as a DevOps Manager by providing a foundation in Kubernetes, a key technology for automating and managing the deployment and operation of software applications. The course's coverage of Kubernetes architecture and operations can be particularly beneficial for those wishing to work with Kubernetes in a DevOps management environment.
See salaries and explore the career path for DevOps Manager
Cloud Architect
Cloud Architects are responsible for designing and managing cloud infrastructure. They use their knowledge of cloud computing concepts and technologies to create and maintain secure, scalable, and cost-effective cloud solutions. This course can help those wishing to start a career as a Cloud Architect by providing a foundation in Google Cloud and Kubernetes. The course's coverage of Kubernetes architecture and operations can be particularly beneficial for those wishing to work with Kubernetes in a cloud computing environment.
See salaries and explore the career path for Cloud Architect
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software applications. They use their knowledge of programming languages and software development tools to create and maintain software that meets the needs of users. This course can help those wishing to transition into a career as a Software Engineer by providing a foundation in Kubernetes, a key technology for modern software development. The course's coverage of Kubernetes architecture and operations can be particularly beneficial for those wishing to work with Kubernetes in a software development environment.
See salaries and explore the career path for Software Engineer
Cloud Security Engineer
Cloud Security Engineers are responsible for securing cloud infrastructure and applications. They use their knowledge of cloud security concepts and technologies to identify and mitigate security risks. This course can help those wishing to transition into a career as a Cloud Security Engineer by providing a foundation in Google Cloud and Kubernetes. The course's coverage of Kubernetes architecture and operations can be particularly beneficial for those wishing to work with Kubernetes in a cloud security environment.
See salaries and explore the career path for Cloud Security Engineer
Cloud Developer
Cloud Developers are responsible for designing and developing software applications that run on the cloud. They use their knowledge of cloud computing concepts and technologies to create applications that are scalable, reliable, and cost-effective. This course can help those wishing to transition into a career as a Cloud Developer by providing a foundation in Google Cloud and Kubernetes. The course's coverage of Kubernetes architecture and operations can be particularly beneficial for those wishing to work with Kubernetes in a cloud development environment.
See salaries and explore the career path for Cloud Developer
Systems Administrator
Systems Administrators are responsible for managing computer systems and networks. They use their knowledge of systems administration concepts and technologies to ensure that systems are reliable, secure, and performant. This course can help those wishing to transition into a career as a Systems Administrator by providing a foundation in Kubernetes, a key technology for managing and scaling systems infrastructure. The course's coverage of Kubernetes architecture and operations can be particularly beneficial for those wishing to work with Kubernetes in a systems administration environment.
See salaries and explore the career path for Systems Administrator
Data Scientist
Data Scientists are responsible for collecting, analyzing, and interpreting data. They use their knowledge of data science concepts and techniques to build models that can predict future events or identify trends. This course may be useful for those wishing to transition into a career as a Data Scientist by providing a foundation in Kubernetes, a key technology for managing and scaling data processing pipelines. The course's coverage of Kubernetes architecture and operations can be particularly beneficial for those wishing to use Kubernetes to improve the efficiency of data processing.
See salaries and explore the career path for Data Scientist
Technical Writer
Technical Writers are responsible for creating and maintaining technical documentation. They use their knowledge of technical writing concepts and practices to create documentation that is clear, concise, and informative. This course may be useful for those wishing to transition into a career as a Technical Writer by providing a foundation in Kubernetes, a key technology for modern software development. The course's coverage of Kubernetes architecture and operations can be particularly beneficial for those wishing to create documentation for Kubernetes users.
See salaries and explore the career path for Technical Writer
Product Manager
Product Managers are responsible for managing the development and launch of software products. They use their knowledge of product management concepts and practices to define product requirements, set product priorities, and track product progress. This course may be useful for those wishing to transition into a career as a Product Manager by providing a foundation in Kubernetes, a key technology for modern software development. The course's coverage of Kubernetes architecture and operations can be particularly beneficial for those wishing to understand how Kubernetes can be used to improve the speed and efficiency of software delivery.
See salaries and explore the career path for Product Manager
Business Analyst
Business Analysts are responsible for analyzing and understanding business processes. They use their knowledge of business analysis concepts and techniques to identify and solve business problems. This course may be useful for those wishing to transition into a career as a Business Analyst by providing a foundation in Kubernetes, a key technology for modern software development. The course's coverage of Kubernetes architecture and operations can be particularly beneficial for those wishing to understand how Kubernetes can be used to improve the scalability and efficiency of business processes.
See salaries and explore the career path for Business Analyst

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Getting Started with Google Kubernetes Engine.
Cover image
Kubernetes: Up and Running
Save
Practical guide to Kubernetes, written by some of the project's creators. It covers everything you need to know to get started with Kubernetes, from installation to troubleshooting.
Kubernetes: Up and Running: Dive into the Future of...
Paperback
$$
Kubernetes: Up and Running
Kindle Edition
$$
Cover image
Getting Started with Docker
Save
Comprehensive reference guide to Kubernetes, covering everything from basic concepts to advanced topics. It valuable resource for anyone who wants to learn more about Kubernetes, regardless of their level of experience.
Getting Started with Docker
Paperback
$$
Cover image
Site Reliability Engineering
Save
Provides a comprehensive guide to site reliability engineering (SRE), a set of practices that help organizations to build and operate reliable and scalable systems.
Site Reliability Engineering: How Google Runs...
Kindle Edition
$$
Cover image
Cloud Native DevOps with Kubernetes
Save
Provides a practical guide to implementing cloud native DevOps with Kubernetes. It covers everything you need to know to build and deploy cloud native applications, from CI/CD to monitoring.
Cloud Native DevOps with Kubernetes: Building,...
Paperback
$$
Cloud Native DevOps with Kubernetes: Building,...
Paperback
$$$
(Deutsch) Cloud Native DevOps mit Kubernetes: Bauen, Deployen...
Kindle Edition
$$
Cover image
Monitoring with Prometheus
Save
Provides a comprehensive guide to Docker, a platform for building, shipping, and running applications in containers. It valuable resource for anyone who wants to learn more about Docker, regardless of their level of experience.
Monitoring with Prometheus
Kindle Edition
$
Cover image
Quick Start Kubernetes
Save
Provides a collection of best practices for running Kubernetes in production. It covers everything from security to performance, and valuable resource for anyone who wants to learn more about Kubernetes.
Quick Start Kubernetes
Paperback
$$
Quick Start Kubernetes: Large-print
Paperback
$$
Quick Start Kubernetes: 2024 edition
Kindle Edition
$
Cover image
Kubernetes Patterns
Save
Provides a collection of patterns for using Kubernetes in production. It covers a variety of topics, from security to performance, and valuable resource for anyone who wants to learn more about Kubernetes.
Kubernetes Patterns: Reusable Elements for...
Paperback
$$
Kubernetes Patterns: Reusable Elements for...
Paperback
$$
(Deutsch) Kubernetes Patterns: Wiederverwendbare Muster zum...
Kindle Edition
$$
Cover image
Microservices Patterns
Save
Provides a collection of patterns for designing and implementing microservices. It valuable resource for anyone who wants to learn more about microservices, regardless of their level of experience.
Microservices Patterns: With examples in Java
Paperback
$$
Microservices Patterns: With examples in Java
Kindle Edition
$$
Cover image
Building Microservices
Save
Provides a collection of patterns for designing and implementing resilient distributed systems. It valuable resource for anyone who wants to learn more about distributed systems, regardless of their level of experience.
Building Microservices: Designing Fine-Grained...
Paperback
$$
Building Microservices: Designing Fine-Grained...
Paperback
$$
Building Microservices: Designing Fine-Grained...
Spiral-bound
$$$
Building Microservices
Kindle Edition
$$

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Course image
Effort
1 week of study, 5-7 hours/week
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
This course belongs to a collection called Preparing for Google Cloud Certification: Cloud DevOps Engineer. It's comprised of five courses:
  1. Getting Started with Google Kubernetes Engine (viewing)
  2. Reliable Google Cloud Infrastructure: Design and Process
  3. Logging and Monitoring in Google Cloud
  4. Developing a Google SRE Culture
  5. Google Cloud Fundamentals: Core Infrastructure
Good to know
Examines Google Cloud and Kubernetes fundamentals, likely relevant for beginners
Taught by Google Cloud Training, known for their expertise in Google Cloud computing
Develops foundational Kubernetes skills and knowledge, useful for beginners in the field
May help learners deploy Kubernetes clusters and related objects in Google Cloud
Emphasizes the use of kubectl for Kubernetes cluster management, a common tool in industry
Content includes labs and interactive materials for hands-on learning
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