Day 1 

GitLab CI – A Complete Hands-On for CI/CD Pipelines & DevOps What you’ll learn  

Learn Full In & Out of GitLab CI/CD with proper HANDS-ON examples from scratch.  

Crash Course on DevOps and CI/CD (Continuous Integration, Continuous Delivery, Continuous Deployment) Concept. GitLab core concepts – Pipeline, Stages, Jobs, Artifacts, Runners, Variables, Environments and many more… ADVANCE GitLab CI/CD concepts, the explanation to which is not very clear even in GitLab’s Official Documentation.  

Create complete GitLab CI CD, DevOps pipelines to automate the build, test and deploy phases. A Real-Time industry standard GitLab CICD pipeline for Continuous Integration, Continuous Delivery, Deployment of the ‘Employee Portal’ Python web application.  

Deploy GitLab CI pipelines on Heroku Cloud.  

Codes and Data-sets are available in resources tab. This will save your typing efforts.  

Working with remote repositories  

Setting up SSH key for GitLab on Windows Pushing changes to a remote repository GitLab web interface  

Making a commit through the GitLab web interface Pulling changes from a remote repository Resolving conflicts with remote repositories Rebasing while pulling changes  

Cloning a remote repository  

Working with merge requests  

What is CI\CD  

CI/CD terms Unwrapped  

Software Development Lifecycle (SDLC)  

Conventional SDLC approach (without CI/CD)  

Drawbacks of Conventional SDLC approach  

Adapting CI/CD work culture  

What is GitLab  

Create first Project  

GitLab UI Tour  

Virtual Machine Installation  

Setting up Git Branches – Part 1  

Setting up Git Branches – Part 2 What is Pipeline?  

Write First Pipeline  

Pipeline Execution Logs Explained  

 Day 2 

Creating Nodejs Application  

Writing GitLab Pipeline Stage &  

Stages in a Pipeline Running Jobs in Background Optimizing the Pipeline  

Introduction to GitLab Runners  

Shared GitLab Runners  

Installing GitLab Runner (Things to keep in mind) Install GitLab Runner in Local Machine?  

Create Python App & Dockerfile  

Write GitLab Pipeline  

Run the Pipeline locally  

Day 3 

Variabled in Gitlab  

What are GitLab CI/CD Variables?  

Predefined GitLab Variables Create  

Custom Variables  

Secret Variables in GitLab  

Pipeline Continued  

Project Requirements  

How to add SSH keys in GitLab  

Create Model for Python App  

Create Front-end for Python App  

Writing the Application Logic  

Lint Tests with Flake8 Add  

Lint Tests in Pipeline  

Write Smoke Tests using pytest  

Write Unit Tests using pytest  

Assignment – Add 2nd Test Job in Pipeline Add  

Testing Stage in Pipeline  

Add On: Extensions for Linting  

Writing Dockerfile to Build Project Image  

Push Docker Image to GitLab Container Registry  

Different Deployment Options  

Getting Started with Heroku  

Deploy to Staging Environment Continued  

Automated Testing in Pipeline  

Assignment  

Assignment – Add Deploy to Production Stage Deploy to Production Environment Controlling the Production Deployments Running the Final  

CI/CD Pipeline  

Day 4  

Deploy to Staging Environment Continued  

Automated Testing in Pipeline Assignment  

Assignment – Add Deploy to Production Stage Deploy to Production Environment Controlling the Production Deployments Running the Final  

CI/CD Pipeline  

Static Environment in Gitlab  

What are Environments & Deployments in GitLab  

Adding Static Environments in Pipeline  

Rollback Deployments  

Adding Dynamic Environments in Pipeline  

GitLab Variables issue and its Workaround  

Trigger for Manual Production Deployment Creating Teardown Job When to run the Stop job? Dynamic Environments Teardown LIVE Idea behind Job Templating YAML Anchors Explained  

Implement Job Templates in Project Code  

Run Job Template Pipeline  

CI Lint Tool in GitLab How to Schedule Pipelines? Timeout in GitLab  

Gitlab Automation with terraform  

Child Pipeline 

Gitlab deployment 

Intermix of Ansible Gitlab and terraform 

Integration with Farget 

AWS Managed Kubernetes service  

Runner and deployment. 

Code Migration bigbucket to Gitlab 

GitLab CI/CD Bootcamp Course Prerequisites

• Basic understanding of Git: Familiarity with fundamental Git commands like clone, commit, push, and pull is recommended.
• General programming knowledge: While no specific programming language is required, a basic understanding of programming concepts will be beneficial for comprehending how CI/CD pipelines interact with code.
• Interest in automating software development workflows: This bootcamp focuses on leveraging GitLab CI/CD for automation, so a genuine interest in this approach is essential.