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

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course notes & important resources

Lecture 2: Your first pipeline

Lecture 3: My GitLab CI pipeline is not running

Lecture 4: Configuring Git for Gitlab CI

Lecture 5: Gitlab architecture

Lecture 6: Why GitLab CI?

Lecture 7: How much does Gitlab cost?

Lecture 8: About the course

Lecture 9: Important skills you need to acquire

Chapter 2: Basic CI/CD workflow with Gitlab CI

Lecture 1: Overview

Lecture 2: What is CI / CD?

Lecture 3: Alternative if you don't want to install new software

Lecture 4: Short introduction to Node.js

Lecture 5: Creating a new project

Lecture 6: Troubleshooting

Lecture 7: Building the project locally

Lecture 8: Short introduction to images and Docker

Lecture 9: Building the project using Gitlab CI

Lecture 10: Adding a test stage

Lecture 11: Running jobs in parallel

Lecture 12: Running jobs in the background

Lecture 13: Deployment using surge.sh

Lecture 14: Using Environment variables for managing secrets

Lecture 15: Deploying the project using Gitlab CI

Lecture 16: How does Surge.sh know the environment variables?

Chapter 3: Gitlab CI Fundamentals

Lecture 1: Overview

Lecture 2: Predefined environment variables

Lecture 3: Pipeline triggers / Retrying failed jobs / Pipeline schedules

Lecture 4: Using caches to optimize the build speed

Lecture 5: Cache vs Artifacts

Lecture 6: Deployment Environments

Lecture 7: Defining variables

Lecture 8: Manual deployments / Manually triggering jobs

Lecture 9: Merge requests – Using branches

Lecture 10: Merge requests – What is a Merge Request?

Lecture 11: Merge requests – Configuring Gitlab

Lecture 12: Merge requests – Your first merge request

Lecture 13: Dynamic environments

Lecture 14: Troubleshooting environment variables not being available

Lecture 15: Destroying environments (Clean-up after the Merge Request)

Lecture 16: before_script & after_script configuration

Lecture 17: Recap & conclusion

Chapter 4: YAML basics

Lecture 1: Overview

Lecture 2: Understanding YAML

Lecture 3: Disabling jobs

Lecture 4: Anchors

Lecture 5: Creating job templates

Chapter 5: Using Gitlab CI to build and deploy a Java application to AWS Elastic Beanstalk

Lecture 1: Overview

Lecture 2: Introduction to the Java application

Lecture 3: Calling an API with Postman

Lecture 4: Continuous Integration (CI) pipeline overview

Lecture 5: Build stage: Building a Java application locally

Lecture 6: Build stage: Building a Java application with Gitlab CI

Lecture 7: Test stage: Adding a smoke test

Lecture 8: CI/CD pipeline recap

Lecture 9: Brief introduction to Amazon Web Services (AWS)

Lecture 10: Notice about unexpected costs while using AWS

Lecture 11: Serverless computing with AWS Elastic Beanstalk

Lecture 12: How to deploy to AWS (manual upload)

Lecture 13: How to deploy to AWS from GitLab CI

Lecture 14: Getting started with AWS S3

Lecture 15: GitLab Group settings

Lecture 16: How to upload a file to AWS S3 from GitLab CI

Lecture 17: How to deploy a Java application to AWS Elastic Beanstalk using the AWS CLI

Lecture 18: Assignment

Lecture 19: Assignment solution

Lecture 20: Create an application version

Lecture 21: Verify the application version after deployment

Lecture 22: Revisiting the CI pipeline

Lecture 23: Ensuring coding standards with tools for codestyle checking with PMD

Lecture 24: Assignment – Add code quality stage with PMD

Lecture 25: Assignment solution – Add code quality stage with PMD

Lecture 26: Quick introduction to unit testing in CI pipelines

Lecture 27: Unit test stage: Run JUnit tests with GitLab CI

Lecture 28: How to structure a CI/CD pipeline in GitLab CI?

Lecture 29: API test stage: Run Postman API tests in GitLab CI

Lecture 30: GitLab Pages (for publishing HTML reports or dashboards)

Lecture 31: Final reminder to terminate all AWS services

Chapter 6: Specific topics / User topics

Lecture 1: Ask the instructor

Chapter 7: Conclusion

Lecture 1: Not the end

Lecture 2: Bonus lecture