Introduction to Jenkins (Linux Foundation)

Offered by Linux Foundation,
Introduction to Jenkins (Linux Foundation)

Learn the fundamentals required to implement Continuous Integration (CI) and Continuous Delivery (CD) workflows using the Jenkins automation server. Are you or your team starting to use Jenkins as a CI/CD tool? Are you looking to automate your software delivery process? Do you need guidelines on how to set up your CI/CD workflow using Jenkins automation server? If so, this is the course for you.

In this course, we will discuss the fundamentals of CI/CD, and we will talk about how they help transform the overall software delivery process. It is most useful for roles such as DevOps engineers, software developers and architects, and professionals focused on site reliability and quality assurance, though anyone involved in the software delivery process will benefit.
This course offers an introduction to the Jenkins automation server, and also includes instructions on how to set up/use Jenkins for your CI/CD workflow.
Upon completion, you will have a solid understanding of the role that Jenkins plays in the software development lifecycle, how to install a Jenkins server, how to build software for it, how to manage third party integrations/plugins and how to scale and secure Jenkins. Finally, you will get a glimpse of what you can do to further enhance your CI/CD skills.

What you’ll learn:

  • The role of Jenkins in software development lifecycle
  • How to set up and access Jenkins automation server
  • How to build your software by configuring and running various types of Jenkins jobs
  • How to install and manage plugins
  • How to scale and secure Jenkins

Course Syllabus:

Welcome
Chapter 1. CI/CD Overview
Chapter 2. Jenkins Installation Basics
Chapter 3. Jenkins Dashboard
Chapter 4. Jenkins Plugins
Chapter 5. Jenkins Security
Chapter 6. Jenkins Jobs
Chapter 7. Freestyle Jobs
Chapter 8. Pipeline Job
Chapter 9. Distributed Builds Architecture
Chapter 10. What’s Next?
Final Exam

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Android App Components - Intents, Activities, and Broadcast Receivers (Coursera) Coursera
Vanderbilt University

Android App Components - Intents, Activities, and Broadcast Receivers (Coursera)

This MOOC builds upon the overview of Java and Android covered in Course 1 by delving deeper into core Android components, such as Activities, Broadcast Receivers, Intents, and Intent Filters. You will learn by example how to program these core Android components together with basic Java file I/O classes (such as File, InputStream, OutputWriter, etc.) and Android storage mechanisms (such as Shared Preferences).

Sep 21st 2026
4 Weeks
Hypothesis-Driven Development (Coursera) Coursera
University of Virginia

Hypothesis-Driven Development (Coursera)

To deliver agile outcomes, you have to do more than implement agile processes- you have to create focus around what matters to your user and constantly test your ideas. This is easier said than done, but most of today’s high-functioning innovators have a strong culture of experimentation. In this course, you’ll learn how to identify the right questions at the right time, and pair them with the right methods to do just enough testing to make sure you minimize waste and maximize the outcomes you create with your user.

Sep 21st 2026
4 Weeks
Introduction to DevOps and Site Reliability Engineering (Linux Foundation) The Linux Foundation
Linux Foundation

Introduction to DevOps and Site Reliability Engineering (Linux Foundation)

Learn how to start transforming your organization using the principles and practices of DevOps. As Agile practices started revolutionizing software development, there has been an increasing need to bridge the gap between faster development vs. slower deployment and operational practices. With its modern principles, practices and an array of state-of-the-art automation tools, DevOps provides a path to bring your operations into the Agile manifold, ultimately resulting in faster software delivery, without compromising on quality.

Self Paced
Self-Paced
Open Source Licensing Basics for Software Developers (Linux Foundations) The Linux Foundation
Linux Foundation

Open Source Licensing Basics for Software Developers (Linux Foundations)

Because open source is now found everywhere software exists, a good working knowledge of open source licensing and compliance is critical. This course is designed to teach software developers and producers why it is important to add copyrights and licenses to their code, as well as how to do so.

Self Paced
Self-Paced
Learn CSS Variables (Coursera) Coursera
Scrimba

Learn CSS Variables (Coursera)

CSS Custom Properties represent a significant advancement for front-end developers, introducing the concept of variables to CSS. This innovation substantially reduces redundancy, enhances code legibility, and augments overall flexibility. Notably, CSS Variables distinguish themselves from their CSS preprocessor counterparts by seamlessly integrating into the Document Object Model (DOM), offering a plethora of advantages.

Sep 28th 2026
1 Week
The R Programming Environment (Coursera) Coursera
Johns Hopkins University

The R Programming Environment (Coursera)

This course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting. Whether you are part of a data science team or working individually within a community of developers, this course will give you the knowledge of R needed to make useful contributions in those settings.

Sep 21st 2026
4 Weeks
Client Needs and Software Requirements (Coursera) Coursera
University of Alberta

Client Needs and Software Requirements (Coursera)

This course covers practical techniques to elicit and express software requirements from client interactions. Upon successful completion of this course, you will be able to: Create clear requirements to drive effective software development; visualize client needs using low-fidelity prototypes; maximize the effectiveness of client interactions - adapt to changing product requirements.

Sep 28th 2026
4 Weeks
Software Processes and Agile Practices (Coursera) Coursera
University of Alberta

Software Processes and Agile Practices (Coursera)

This course delves into a variety of processes to structure software development. It also covers the foundations of core Agile practices, such as Extreme Programming and Scrum. Upon successful completion of this course, you will be able to: distinguish between different process models for organizing software production; gauge the applicability of process models for a software development project; apply the fundamentals of Agile software development and management practices.

Sep 28th 2026
4 Weeks
Algorithmic Thinking (Part 1) (Coursera) Coursera
Rice University

Algorithmic Thinking (Part 1) (Coursera)

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems.

Oct 5th 2026
4 Weeks
Internet of Things: Setting Up Your DragonBoard™ Development Platform (Coursera) Coursera
University of California, San Diego

Internet of Things: Setting Up Your DragonBoard™ Development Platform (Coursera)

Do you want to develop skills to prototype mobile-enabled products using state-of-the-art technologies? In this course you will build a hardware and software development environment to guide your journey through the Internet of Things specialization courses. We will use the DragonBoard™ 410c single board computer (SBC).

Sep 21st 2026
5-12 Weeks
Executing Full Text Queries with Elasticsearch (Coursera) Coursera
Board Infinity

Executing Full Text Queries with Elasticsearch (Coursera)

This course is designed to teach you how to execute full-text queries with Elasticsearch, a powerful search and analytics engine widely used for data exploration, log analysis, and real-time search applications. In this course, you will learn the basics of Elasticsearch, including how to install and configure the software, index data, and create mappings. You will then explore the various query types supported by Elasticsearch, such as term queries, match queries, and phrase queries. You will also learn how to use Elasticsearch's aggregation framework to analyze and summarize your data.

Oct 5th 2026
3 Weeks
Building R Packages (Coursera) Coursera
Johns Hopkins University

Building R Packages (Coursera)

Writing good code for data science is only part of the job. In order to maximizing the usefulness and reusability of data science software, code must be organized and distributed in a manner that adheres to community-based standards and provides a good user experience. This course covers the primary means by which R software is organized and distributed to others.

Sep 21st 2026
4 Weeks