When you enroll through our links, we may earn a small commission—at no extra cost to you. This helps keep our platform free and inspires us to add more value.

IT & Software
Udemy logo

Learn Devops: Continuously Deliver Better Software

Excel in delivering and deploying software using Git, Vagrant, Chef, Ansible, Jenkins, Docker, and Kubernetes

     
  • 4.2
    •  |
  • Reviews ( 2.8K )
₹2499
Learn Devops: Continuously Deliver Better Software

Related Courses

This Course Includes

  • iconudemy
  • icon4.2 (2.8K reviews )
  • icon4.5 total hours
  • iconenglish
  • iconOnline - Self Paced
  • iconcourse
  • iconUdemy

About Learn Devops: Continuously Deliver Better Software

In this course you will learn how to apply DevOps. Why DevOps? It is one of the most sought after skills in the IT industry. The average salary in the US is $105,000 per year (source: Glassdoor), up to an average of $146,000 in San Fransisco (source: Indeed).

The course is aimed at software engineers and system administrators that want to deliver better software. Other IT professionals can also take this course, but might have to do some extra research to understand some of the concepts.

You will learn how to improve the Software Development Lifecycle by applying techniques to improve software delivery. I will explain how to improve delivery using automation, configuration management, provisioning and deployment tools. I also cover newer tools like Docker and Kubernetes. Where possible I point you towards the best practices in the field.

The course is very practical. There is about 3 to 4 hours of lectures, but you want to try out everything yourself, which will add multiple hours of learning. If you get stuck with the technology while trying, there is support available. I will answer your messages on the message boards and we have a Facebook group where you can post questions.

February 2016 Updates:

What You Will Learn?

  • Apply DevOps in your team.
  • Understand Continuous Delivery.
  • Automate the Software Development Lifecycle (SDLC).
  • Automate the deployment process.
  • Reduce release time.
  • Release better software.
  • Build a highly available and fully scalable application.
  • Deploy microservices using Docker and Kubernetes.
  • Automate using Ansible and Chef.