Course Introduction

Welcome to the GitHub Actions certification course on KodeKloud. In this course you’ll master automation and CI/CD (Continuous Integration and Continuous Deployment) using GitHub Actions — GitHub’s native automation platform. Whether your goal is to accelerate development, automate testing, or orchestrate complex deployments, this course will guide you from fundamentals to advanced, production-ready workflows. What you’ll learn

Core CI/CD concepts and why automation matters
How GitHub Actions compares to other automation tools
Creating, testing, and publishing Docker images from workflows
Orchestrating multi-job pipelines, reusable workflows, and custom actions
Managing secrets, environments, and self-hosted runners
Deploying to cloud targets, including uploads to AWS S3 and GitHub Enterprise Cloud

Why GitHub Actions? GitHub Actions is tightly integrated with the entire GitHub platform: commits, pull requests, issues, releases, and packages. That integration, combined with a rich marketplace of prebuilt actions and first-class Docker support, makes it an excellent choice for implementing CI/CD pipelines close to your source code. Course structure Each topic is presented in a three-step learning format:

Theory: clear explanations and best practices.
Demonstration: real-world examples and live walkthroughs.
Hands-on labs: practice in pre-provisioned KodeKloud environments.

Core topics covered

Introduction to GitHub Actions workflows, events, and triggers
Jobs, steps, and runner types (GitHub hosted vs self-hosted)
Actions marketplace and writing custom actions
Secrets and environment protection rules
Artifacts and caching strategies
Docker image building, testing, and publishing
Deployment pipelines and progressive delivery strategies

Quick glossary

Workflow: A YAML file that defines automation triggered by events.
Job: A collection of steps that run on the same runner.
Step: A single task in a job (action or run command).
Runner: Machine which executes jobs (github-hosted or self-hosted).
Action: Reusable unit of automation; can be composite, JavaScript, or Docker-based.

Comparing Continuous Delivery and Continuous Deployment

Concept	Purpose	Example
Continuous Integration (CI)	Merge and test code frequently to reduce integration issues	Run unit tests and linting on every PR
Continuous Delivery (CD)	Keep codebase deployable; manual approval before production	Build Docker images, push to registry, wait for manual deploy
Continuous Deployment	Automatically deploy every passing change to production	Build → test → push → auto-deploy on successful tests

Advanced features and production concerns

Job orchestration: control job dependencies and concurrency
Reusable workflows: share common CI/CD logic across repositories
Self-hosted runners: use your own infrastructure for specialized needs
Secrets management: securely store credentials and tokens
Environments: add approvals and protection rules for critical deployments

Never commit secrets or credentials into your repository. Use GitHub Secrets or repository/organization vars for storing sensitive values, and restrict access with environments and branch protection rules.

Example: Docker-based CI/CD workflow sequence Below is an example sequence of steps commonly used in a Docker-centered workflow. The flow demonstrates logging into Docker Hub, building an image for testing (without pushing), running the container to execute tests, and finally pushing the image after tests pass.

- name: Login to Docker Hub
  uses: docker/login-action@v2
  with:
    username: ${{ vars.DOCKERHUB_USERNAME }}
    password: ${{ secrets.DOCKERHUB_PASSWORD }}

- name: Docker Build For Testing
  uses: docker/build-push-action@v4
  with:
    context: .
    push: false
    tags: ${{ vars.DOCKERHUB_USERNAME }}/solar-system:${{ github.sha }}

- name: Docker Image Testing
  run: |
    docker images
    docker run --name solar-system-app -d \
      -p 3000:3000 \
      -e MONGO_URI="$MONGO_URI" \
      -e MONGO_USERNAME="$MONGO_USERNAME" \
      -e MONGO_PASSWORD="$MONGO_PASSWORD" \
      ${{ vars.DOCKERHUB_USERNAME }}/solar-system:${{ github.sha }}

    # Get the container IP (if needed) and show it
    export IP=$(docker inspect -f '{{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}' solar-system-app)
    echo "Container IP: $IP"

    echo "Testing Image URL using wget"
    wget -q -O - 127.0.0.1:3000/live | grep live

- name: Docker Push
  uses: docker/build-push-action@v4
  with:
    context: .
    push: true
    tags: ${{ vars.DOCKERHUB_USERNAME }}/solar-system:${{ github.sha }}

Hands-on labs on KodeKloud You will apply these patterns in hands-on labs hosted by KodeKloud. Labs come in pre-configured, browser-accessible environments so you can focus on learning rather than environment setup.

The KodeKloud labs provide browser-based, pre-configured environments so you can experiment and deploy solutions directly from your browser without local setup.

A sample KodeKloud lab terminal session (excerpt):

Welcome to the KodeKloud Hands-On lab

All rights reserved

alpine-host ~ » vi github_repo_i
alpine-host ~ »

Community and support KodeKloud maintains an active forum and learner community. Ask questions, share solutions, and collaborate with peers as you progress. Engaging with the community accelerates learning and helps solve real-world problems faster. Getting started checklist

Ensure you have a GitHub account
Create a repository for practice and enable Actions
Add necessary secrets (DOCKERHUB, cloud provider credentials)
Start with a simple workflow that runs tests on PRs
Gradually add build, publish, and deploy steps

Links and references

If you’re ready to begin, jump into the first module where we cover workflows, triggering events, and writing your first GitHub Actions YAML file. I look forward to seeing you in the course.

Introduction

GitHub Actions - Core Concepts

Continuous Integration with GitHub Actions

Continuous Deployment with GitHub Actions

Reusable Workflows and Reporting

Custom Actions

Self Hosted Runner

Security Guide

GitHub Actions in the Enterprise Cloud

Course Introduction

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