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Beginner
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Continuous Delivery with Jenkins in Kubernetes Engine

Coursera · Google Cloud · Updated

Platform rating

4.5/5

AI Tutor Rating

8.3/10

Duration

Self-paced

Classes

6

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will deploy and completely configure a continuous delivery pipeline using Jenkins running on Kubernetes Engine and go through the dev - deploy process.

Continuous Delivery with Jenkins in Kubernetes Engine is a self-paced lab hosted on Coursera and created by Google Cloud. The course provides hands-on practice deploying and configuring a continuous delivery pipeline using Jenkins on Google Kubernetes Engine (GKE). It serves learners in the cloud MLOps and DevOps space who want to understand the practical integration of Jenkins, Kubernetes, and Google Cloud for automating the software deployment process from development to production.

What you'll learn in Continuous Delivery with Jenkins in Kubernetes Engine

Deploy a Jenkins server on Google Kubernetes Engine.
Configure a complete continuous delivery pipeline.
Execute the development-to-deployment process using the configured pipeline.

Our Review of Continuous Delivery with Jenkins in Kubernetes Engine

This course is structured as a single, self-paced lab that runs directly within the Google Cloud console, which defines its teaching format and depth. The hands-on, lab-first approach is its core strength, immersing learners in a real cloud environment to deploy a Jenkins server on GKE and configure a complete pipeline. This suggests a learner will finish with practical, procedural knowledge of setting up this specific toolchain on Google's platform. The curriculum focuses on execution, guiding you through the dev-deploy process rather than deep theoretical exploration of CI/CD concepts or alternative tools.

The course's difficulty is not explicitly stated, but the listed prerequisites are 'None,' and the outcomes are concrete and action-oriented. This implies it is accessible to those new to the specific Google Cloud Jenkins-on-GKE setup, though familiarity with basic DevOps concepts would be beneficial. At $10 with a certificate, the course offers clear value for its focused, practical outcome. The certificate provides a low-cost credential for completing this specific technical task, which can be useful for demonstrating hands-on skill with Google Cloud's DevOps tooling. However, the value is tightly scoped to this one pipeline configuration.

Pros and cons of Continuous Delivery with Jenkins in Kubernetes Engine

Pros

  • Provides direct, hands-on experience in the live Google Cloud console.
  • Focuses on a practical, complete pipeline setup from deployment to execution.
  • Low-cost entry point at $10 for guided, vendor-specific DevOps practice.
  • Offers a shareable certificate of completion for this specific skill.
  • Self-paced format allows flexibility to work through the lab environment.

Things to consider

  • Scope is limited to a single, specific toolchain (Jenkins on GKE).
  • As a lab, it offers minimal explanatory lecture or foundational theory.
  • Outcomes are procedural; it may not build broader architectural design skills.

Who should take Continuous Delivery with Jenkins in Kubernetes Engine?

This course best fits DevOps practitioners, developers, or cloud engineers who need to quickly gain hands-on, procedural knowledge for deploying a Jenkins-based continuous delivery pipeline on Google Kubernetes Engine. It's ideal for someone tasked with implementing this specific setup who learns by doing and values a low-cost, certificate-bearing lab over a broader theoretical course.

Continuous Delivery with Jenkins in Kubernetes Engine at a glance

Key facts about Continuous Delivery with Jenkins in Kubernetes Engine on Coursera
ProviderCoursera
InstructorGoogle Cloud
LevelBeginner
Time to completeSelf-paced
Pricing$10
CertificateCertificate
PrerequisitesNone

Fit

Best for

Developers
AI Engineers
Data Scientists
Technical Builders

Not ideal for

Experts seeking deep specialization
Jenkins
Kubernetes Engine
Continuous Delivery
Google Cloud
Pipeline
Deployment
Go to Course

The bottom line on Continuous Delivery with Jenkins in Kubernetes Engine

Continuous Delivery with Jenkins in Kubernetes Engine is a focused, practical lab that delivers exactly what it promises: guided hands-on experience building a CI/CD pipeline on Google Cloud. For ten dollars, it provides efficient skill acquisition and a certificate for this specific task, but learners seeking conceptual depth or flexibility across platforms should look elsewhere.

Continuous Delivery with Jenkins in Kubernetes Engine: frequently asked questions

What exactly will I learn to do in the Continuous Delivery with Jenkins in Kubernetes Engine course?

You will learn to deploy a Jenkins server on Google Kubernetes Engine, configure a complete continuous delivery pipeline, and execute the full development-to-deployment process using that pipeline in a hands-on lab.

What are the prerequisites needed before taking this Jenkins and Kubernetes Engine course?

The course page lists no formal prerequisites, making it accessible, though prior familiarity with basic DevOps concepts and the Google Cloud console will help you navigate the hands-on lab more effectively.

Is the certificate from this Coursera lab worth the cost?

For $10, the certificate offers good value as proof of completing a specific, hands-on Google Cloud DevOps task, which can be useful for demonstrating practical skill to employers or for personal validation.

How does this hands-on lab compare to a full video lecture course on CI/CD?

This lab focuses purely on procedural, hands-on execution in the Google Cloud console, unlike a lecture course which would typically provide more conceptual foundation and theory behind continuous delivery practices and tools.

How can I get the most out of this self-paced Jenkins and GKE lab?

To get the most from this lab, ensure you have a stable internet connection for the cloud console, follow the instructions meticulously, and experiment with the configured pipeline after completion to reinforce the deployment process.

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