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Gitlab CI: Pipelines, CI/CD and DevOps for Beginners

5h 8m 39s

English

Paid

November 1, 2023

This course helps you learn GitLab CI step by step. You start with the core ideas of CI/CD. You then build simple pipelines and improve them as you go. You will practice each concept so you can use GitLab CI in your own projects with confidence.

What You Will Learn

You explore the GitLab platform and build real pipelines. Each lesson gives you clear tasks to help you learn fast.

What a pipeline is and how it works
How Continuous Integration and Continuous Delivery work
How to build, test, and deploy code with GitLab CI
How to add unit tests, API tests, and code checks
How to use Docker images inside your pipeline
How to create Merge Requests and review code
How to deploy simple apps, including AWS examples
How to work with dynamic environments

Course Highlights

You start building from the first section. The lessons use short steps that help you learn the workflow.

Overview of GitLab’s architecture
Create your first pipeline
Deploy a basic website
Work with Docker in GitLab
Practice with hands-on tasks

Requirements

You only need a few basic skills to follow along.

Basic Linux skills and terminal use
Basic Git commands like clone, commit, merge, and push
Admin rights to install tools such as Node, npm, Docker, or VirtualBox
Optional: basic Docker knowledge

Who This Course Is For

Developers who want to build pipelines to test and deploy code
IT staff such as engineers, architects, and operations teams

About the Author: udemy

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Udemy is a global online marketplace for teaching and learning. It connects students with instructors who share skills in many fields.

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Millions of learners use Udemy to gain skills for work and personal growth. Companies, governments, and nonprofits also use Udemy to train their teams.

What Udemy Offers

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Watch Online 69 lessons

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#1: Your first pipeline

All Course Lessons (69)

#	Lesson Title	Duration	Access
1	Your first pipeline Demo	21:41
2	Gitlab architecture	05:08
3	Why GitLab CI?	02:11
4	How much does Gitlab cost?	02:57
5	About the course	02:05
6	Important skills you need to acquire	03:11
7	Overview	00:28
8	What is CI / CD?	08:09
9	Short introduction to Node.js	01:52
10	Creating a new project	05:09
11	Building the project locally	02:35
12	Short introduction to images and Docker	04:02
13	Building the project using Gitlab CI	10:59
14	Adding a test stage	06:24
15	Running jobs in parallel	05:42
16	Running jobs in the background	08:10
17	Deployment using surge.sh	02:51
18	Using Environment variables for managing secrets	03:34
19	Deploying the project using Gitlab CI	05:00
20	How does Surge.sh know the environment variables?	02:57
21	Overview	02:09
22	Predefined environment variables	07:43
23	Pipeline triggers / Retrying failed jobs / Pipeline schedules	02:51
24	Using caches to optimize the build speed	10:02
25	Cache vs Artifacts	01:53
26	Deployment Environments	07:44
27	Defining variables	05:35
28	Manual deployments / Manually triggering jobs	06:03
29	Merge requests - Using branches	05:26
30	Merge requests - Configuring Gitlab	01:50
31	Merge requests - Your first merge request	06:20
32	Dynamic environments	06:42
33	Destroying environments (Clean-up after the Merge Request)	09:06
34	before_script & after_script configuration	03:24
35	Recap & conclusion	01:59
36	Overview	00:54
37	Understanding YAML	06:41
38	Disabling jobs	01:07
39	Anchors	05:21
40	Creating job templates	08:45
41	Overview	01:59
42	Introduction to the Java application	04:15
43	Calling an API with Postman	02:45
44	Continuous Integration (CI) pipeline overview	00:47
45	Build stage: Building a Java application locally	03:20
46	Build stage: Building a Java application with Gitlab CI	03:03
47	Test stage: Adding a smoke test	06:28
48	CI/CD pipeline recap	02:11
49	Brief introduction to Amazon Web Services (AWS)	03:50
50	Serverless computing with AWS Elastic Beanstalk	01:29
51	How to deploy to AWS (manual upload)	04:02
52	How to deploy to AWS from GitLab CI	01:57
53	Getting started with AWS S3	02:12
54	GitLab Group settings	01:03
55	How to upload a file to AWS S3 from GitLab CI	07:53
56	How to deploy a Java application to AWS Elastic Beanstalk using the AWS CLI	07:44
57	Assignment	00:24
58	Assignment solution	03:19
59	Create an application version	03:57
60	Verify the application version after deployment	05:33
61	Revisiting the CI pipeline	00:52
62	Ensuring coding standards with tools for codestyle checking with PMD	04:12
63	Assignment - Add code quality stage with PMD	00:26
64	Assignment solution - Add code quality stage with PMD	03:11
65	Quick introduction to unit testing in CI pipelines	04:33
66	Unit test stage: Run JUnit tests with GitLab CI	03:58
67	How to structure a CI/CD pipeline in GitLab CI?	02:02
68	API test stage: Run Postman API tests in GitLab CI	10:48
69	GitLab Pages (for publishing HTML reports or dashboards)	03:46

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