Jenkins Introduction for Developer

End to End Integration : Selenium - Maven - Git - Jenkins
Rating: 3.9 out of 5 (905 ratings)
25,678 students
English
Jenkins Introduction for Developer
Rating: 3.9 out of 5 (905 ratings)
25,678 students
Install Jenkins on Windows, Ubuntu, Mac
Apply Jenkins to do Continuous Integration

Requirements

  • This course is a introduction to Jenkins from the beginner. So you do not need to have any knowledge about Jenkins before.

Description

Content and Overview

  • 100% hand-on, practical with real life use case
  • Step by step style, explain and make every thing clear
  • Cover Continuous Integration with Jenkins
  • Cover Continuous Delivery with Jenkins
  • Cover Installation Jenkins on Windows as a service
  • Cover Installation Jenkins on Mac as a service
  • Cover installation Jenkins on Ubuntu as a service
  • Working with Git to clone source code
  • Working with Maven to build Java project
  • Working with Tomcat server to deploy Java web application

After complete this course

Now a day, DevOpt and Continuous Integration engineer are very hot career. The average salary for DevOpt engineer at silicon valley is more than 120000$ a year. After complete the course, You will familiar with Jenkins and make it become essential tool for your CI/CD or DevOpt implementation.

Who this course is for:

  • People want to do and learn about Continuous Integration, Continuous Delivery
  • People want to do and learn about Devopt
  • People want to apply Jenkins to automate their development process

Course content

5 sections • 18 lectures • 59m total length
  • Collection of Best Udemy Courses Ever Created
    00:10
  • What you will learn from this course ?
    03:26
  • Install Jenkins on Windows
    08:10
  • Install Jenkins on Ubuntu
    06:45
  • Install Jenkins on Mac
    04:53

Instructor

Deep Learning Engineer
Tan Pham
  • 4.0 Instructor Rating
  • 3,585 Reviews
  • 120,412 Students
  • 12 Courses

As said by Andrew Ng "AI is the new electricity", in very near future AI will take a very important role in our world.

so, That is reason why I do and teach deep learning. My principles of teaching :

- Start from simple

- Move on step by step

- Explain concept, idea in simple, clear way with visualization

- Practice with code

- Build and apply to real life projects