GitLab CI: Pipelines, CI/CD and DevOps for Beginners (updated 12/2021)

Learn GitLab CI / CD with Docker & DevOps: obtain valuable DevOps skills. Build pipelines.

What you'll learn
What is a pipeline
What is Continuous Integration (CI), Continuous Delivery (CD) and Continuous Deployment (CD)
Automate your build, test & deployment with Gitlab CI
Learn industry "best practices" in building CI/CD pipelines
Demonstrate your understanding of building CI/CD pipelines to future employers
Automate your builds, tests, and deployments
Automatic deployments using AWS
Build pipelines with code quality checks, unit tests, API testing
Solve problems with hands-on assignments
Create Merge Requests and review code
Dynamic environments

Requirements
Basic experience with Linux, Linux commands and using the terminal
Know how to work with Git (basics like configuring a repository locally, cloning, merge, commit, push)
Admin permissions that allow you to install additional tools (Node, npm, Docker, Virtualbox)
Optional: some basic experience with Docker will be a bonus

Description
This course will teach you how to use Gitlab CI for your own projects. You will learn the basics of CI/CD and start building pipelines right from the first lecture.

Some highlights

- have an overview of the Gitlab architecture

- create a simple pipeline

- learn the CI/CD practice by deploying a simple website

- use Docker images within Gitlab

This course will NOT make you a GitLab CI / DevOps expert

A lot of courses promise you will become an expert. Becoming an expert in any tool comes with time and hard work. It simply does not make sense to promise something like that. It will not be honest.

What I will try is to explain to you the basics and offer you enough practice opportunities so that you can apply what you learn easily in your own projects as well. I will show you how to build pipelines with Gitlab CI.

Who this course is for
Software developers learning to build pipelines in order to test & deploy code
IT Professionals: Developers, Software Engineers, Application Architects, Infrastructure Architects, and Operations