GitLab CI – A Complete Hands-On for CI/CD Pipelines & DevOps

Course Curriculum

Chapter 1: Crash Course on CI/CD concept

Lecture 1: What is CI/CD?

Lecture 2: CI/CD terms Unwrapped

Lecture 3: Software Development Lifecycle (SDLC)

Lecture 4: Conventional SDLC approach (without CI/CD)

Lecture 5: Drawbacks of Conventional SDLC approach

Lecture 6: Adapting CI/CD work culture

Chapter 2: Getting Started with GitLab

Lecture 1: What is GitLab

Lecture 2: Create first Project

Lecture 3: GitLab UI Tour

Lecture 4: Virtual Machine Installation

Chapter 3: Create First Pipeline

Lecture 1: Setting up Git Branches – Part 1

Lecture 2: Setting up Git Branches – Part 2

Lecture 3: What is Pipeline?

Lecture 4: Write First Pipeline

Lecture 5: Pipeline Execution Logs Explained

Chapter 4: Artifacts with Nodejs Application

Lecture 1: Creating Nodejs Application

Lecture 2: Writing GitLab Pipeline

Lecture 3: Stage & Stages in a Pipeline

Lecture 4: Writing GitLab Pipeline Continued

Lecture 5: Running Jobs in Background

Lecture 6: Optimizing the Pipeline

Chapter 5: GitLab Runners and Installation

Lecture 1: Introduction to GitLab Runners

Lecture 2: Shared GitLab Runners

Lecture 3: Installing GitLab Runner (Things to keep in mind)

Lecture 4: Install GitLab Runner in Local Machine?

Chapter 6: Run Pipelines using Local Runners

Lecture 1: Create Python App & Dockerfile

Lecture 2: Write GitLab Pipeline

Lecture 3: Run the Pipeline locally

Lecture 4: Improvising the Pipeline

Chapter 7: Variables in GitLab CI/CD

Lecture 1: What are GitLab CI/CD Variables?

Lecture 2: Predefined GitLab Variables

Lecture 3: Create Custom Variables

Lecture 4: Secret Variables in GitLab

Lecture 5: Pipeline Continued

Chapter 8: Project – Requirements & Setup (Python Application)

Lecture 1: Project Requirements

Lecture 2: Designing Project Workflow

Lecture 3: How to add SSH keys in GitLab

Lecture 4: Create Model for Python App

Lecture 5: Create Front-end for Python App

Lecture 6: Writing the Application Logic

Chapter 9: Project – Create GitLab CI Pipeline

Lecture 1: Lint Tests with Flake8

Lecture 2: Add Lint Tests in Pipeline

Lecture 3: Write Smoke Tests using pytest

Lecture 4: Write Unit Tests using pytest

Lecture 5: Add Testing Stage in Pipeline

Lecture 6: Add On: Extensions for Linting

Lecture 7: Writing Dockerfile to Build Project Image

Lecture 8: Adding Build Stage in Pipeline

Lecture 9: Push Docker Image to GitLab Container Registry

Chapter 10: Project – Create GitLab CD Pipeline (Deployment to Heroku)

Lecture 1: Different Deployment Options

Lecture 2: Getting Started with Heroku

Lecture 3: Deploy to Staging Environment

Lecture 4: Deploy to Staging Environment Continued

Lecture 5: Automated Testing in Pipeline

Lecture 6: Assignment

Lecture 7: Deploy to Production Environment

Lecture 8: Controlling the Production Deployments

Lecture 9: Running the Final CI/CD Pipeline

Chapter 11: Static Environments in GitLab CI/CD

Lecture 1: Enhancing the Pipeline Workflow

Lecture 2: What are Environments & Deployments in GitLab

Lecture 3: Adding Static Environments in Pipeline

Lecture 4: Rollback Deployments

Chapter 12: Dynamic Environments in GitLab CI/CD

Lecture 1: Adding Dynamic Environments in Pipeline

Lecture 2: GitLab Variables issue and its Workaround

Lecture 3: Run the Pipeline

Lecture 4: Trigger for Manual Production Deployment

Chapter 13: Stop Dynamic Environments

Lecture 1: Creating Teardown Job

Lecture 2: When to run the Stop job?

Lecture 3: Dynamic Environments Teardown LIVE

Chapter 14: Job Templating

Lecture 1: Idea behind Job Templating

Lecture 2: YAML Anchors Explained

Lecture 3: Implement Job Templates in Project Code

Lecture 4: Run Job Template Pipeline

Chapter 15: Miscellaneous

Lecture 1: CI Lint Tool in GitLab

Lecture 2: How to Schedule Pipelines?

Lecture 3: Timeout in GitLab

Chapter 16: Additional Learnings

Lecture 1: Install Git on Windows

Lecture 2: What is Docker & its Installation on Windows