⚙️ GitHub Actions Mastery: Automate CI/CD from Your Repo

---

🧾 Course Description

GitHub Actions is a powerful CI/CD platform built right into GitHub — allowing you to automate builds, tests, deployments, and workflows directly from your repositories.

In “GitHub Actions Mastery”, you’ll learn to write, manage, and optimize workflows using YAML syntax, reusable actions, environment secrets, matrix builds, and deployment strategies. This hands-on course is ideal for developers, DevOps engineers, and open-source maintainers who want to create fast, secure, and reliable automation pipelines.

By the end of this course, you’ll be able to automate anything — from code validation and test runs to Docker builds, cloud deployments, and Slack notifications — without leaving GitHub.

---

✅ Key Benefits

• ⚙️ Native CI/CD in GitHub — No external tool setup required
• 🔁 Automate Everything — Build, test, lint, deploy, notify, tag, and release
• 🧱 Modular and Reusable — Use public actions or build your own
• 🔐 Secure Deployments — Manage secrets, environments, and approvals
• 🚀 Perfect for Individuals and Teams — From solo projects to enterprise pipelines

---

🎯 Pre-requisites

• Familiarity with Git & GitHub (push, pull, clone, branches)
• Comfortable using basic YAML syntax
• Optional: experience with Docker, Node.js, or build tools like Maven/npm is helpful
• No prior CI/CD experience required

---

📚 Curriculum Breakdown

🔧 Module 1: Introduction to GitHub Actions

• What is GitHub Actions and how it compares to Jenkins/GitLab CI
• Key concepts: workflows, jobs, steps, runners, triggers
• Enabling Actions in a GitHub repo

📄 Module 2: Writing Your First Workflow

• main.yml structure and location
• Trigger on push, pull_request
• Running shell commands using runs-on, steps, and run
• Using actions/checkout and actions/setup-*

🧱 Module 3: Workflow Features

• Using env, secrets, if conditionals
• Artifacts, caching, matrix builds
• Reusable workflows and templates

🧰 Module 4: Popular Use Cases

• Run unit tests on push
• Lint and format code
• Auto-assign PR reviewers
• Tag releases and publish to npm/DockerHub

☁️ Module 5: Deployments with GitHub Actions

• Using environments and manual approvals
• Deploying to:
  • Netlify/Vercel
  • AWS (via IAM credentials)
  • Heroku, Render, or Firebase
• Rollback strategies and monitoring tips

🧪 Module 6: Final Project

• CI/CD Pipeline for a Node.js or Python app
  • Run tests, lint, build, and deploy
  • Store artifacts and use secrets
  • Notify team via Slack or email

---

⏱️ Estimated Duration

Daily Study Time	Estimated Duration	Notes
2 hours/day	8–10 days (~2 weeks)	Relaxed pace with practice
4 hours/day	4–5 days (1 week)	Focused pace + demo pipelines
6 hours/day	2–3 days (bootcamp)	Full immersion + project-ready

---

🎓 Outcome

By the end of GitHub Actions Mastery, you will:

• Automate testing, deployment, and DevOps workflows from within GitHub
• Write and manage reusable YAML-based workflows
• Securely handle credentials and secrets in real-world projects
• Be ready to implement CI/CD pipelines for solo projects, teams, and open-source contributions

🔄 CI/CD Essentials: Automate, Integrate, and Deliver with Confidence

---

🧾 Course Description

Continuous Integration (CI) and Continuous Delivery/Deployment (CD) are the backbone of modern DevOps workflows, enabling teams to deliver software faster, safer, and more reliably. In “CI/CD Essentials”, you’ll learn the core principles, tools, and real-world workflows that drive automation across the development pipeline.

This vendor-neutral course focuses on concepts, best practices, and architecture — using examples from Git, Jenkins, GitHub Actions, Docker, and Kubernetes. Perfect for developers, testers, and DevOps engineers seeking a solid foundation in CI/CD principles before diving into specific tools.

---

✅ Key Benefits

• 🚀 Understand CI/CD Architecture — Learn pipelines, triggers, build stages, and deployments
• 🔄 End-to-End Automation — From code commit to production-ready release
• 🧩 Tool-Agnostic Knowledge — Concepts apply to Jenkins, GitHub Actions, GitLab CI, CircleCI, etc.
• 🧪 Test & Validate Faster — Integrate testing, linting, and code quality checks early
• ☁️ Bridge Dev & Ops — Align developer workflows with production reliability

---

🎯 Pre-requisites

• Familiarity with basic software development workflow (Git, code editing, debugging)
• Optional: Basic exposure to Git, build tools (Maven, npm), or terminal usage
• No prior CI/CD tool experience required

---

📚 Curriculum Breakdown

📘 Module 1: Introduction to CI/CD

• What is CI? What is CD?
• Benefits & challenges of automation
• CI vs CD vs CD (Continuous Deployment)

🔁 Module 2: CI/CD Workflow Components

• Code repository & version control (Git basics)
• Build automation: compile, package, test
• Artifact creation & storage

🛠️ Module 3: CI Pipeline Anatomy

• Pipeline stages: checkout, build, test, deploy
• Triggers: commit, schedule, manual
• Feedback loops: failing fast and early

🔒 Module 4: Testing & Code Quality

• Unit testing and test automation
• Static code analysis (SonarQube, ESLint)
• Security scanning and shift-left testing

🔄 Module 5: CD Pipelines

• Staging vs production environments
• Manual approvals and gated releases
• Blue-green and canary deployments

🔌 Module 6: Tools & Ecosystem Overview

• Popular CI/CD tools: Jenkins, GitHub Actions, GitLab CI, CircleCI
• Introduction to pipeline-as-code
• Docker and K8s in CI/CD pipelines (overview)

🧪 Module 7: CI/CD Use Case Project

• Simulate a CI/CD pipeline for a web app:
  • Git push → run tests → build → deploy to staging
  • Optional: include code quality check and rollback step

---

⏱️ Estimated Duration

Daily Study Time	Estimated Duration	Learning Style
2 hours/day	10–12 days (~2 weeks)	Ideal for foundational learners
4 hours/day	5–6 days (1 week)	Good pace with live demos
6 hours/day	3–4 days (bootcamp)	Hands-on intensive & accelerated

---

🎓 Outcome

By the end of CI/CD Essentials, you will:

• Understand CI/CD lifecycle, purpose, and real-world benefits
• Design and explain modern pipelines from code commit to deployment
• Be prepared to adopt any CI/CD tool (Jenkins, GitHub Actions, GitLab CI)
• Confidently work in or contribute to DevOps and automation teams

⚙️ Jenkins Jumpstart: Master Continuous Integration & Delivery

---

🧾 Course Description

Jenkins is the most popular open-source automation server used to implement Continuous Integration (CI) and Continuous Delivery (CD) in modern software pipelines. In “Jenkins Jumpstart”, you’ll learn how to automate building, testing, and deploying software using pipelines and plugins.

This hands-on course takes you from installing Jenkins to writing pipeline-as-code with Jenkinsfile, integrating Git, Docker, Maven/Gradle, and even deploying to cloud or staging environments. Whether you’re a developer, DevOps engineer, or release manager — Jenkins is a must-have tool in your workflow.

---

✅ Key Benefits

• 🚀 Automate Everything — Build, test, and deploy software without manual steps
• 🔁 Implement CI/CD — Set up reliable integration and delivery pipelines
• 🔌 Plugin-Powered Flexibility — Use Git, Docker, Maven, Node, AWS, and more
• 🧰 Pipeline as Code — Learn to version and maintain Jenkins configurations
• 💼 Enterprise Ready — Gain skills sought after in modern software teams

---

🎯 Pre-requisites

• Basic understanding of software development life cycle (SDLC)
• Familiarity with Git and command-line interface (CLI)
• Exposure to build tools (Maven, Gradle, npm) is helpful
• Optional: Basic understanding of Docker or Linux

---

📚 Curriculum Breakdown

🧱 Module 1: Introduction to Jenkins

• What is Jenkins? Why CI/CD matters
• Jenkins architecture and use cases
• Installing Jenkins on local or cloud (Linux or Docker)

🧪 Module 2: Jenkins Dashboard & Freestyle Jobs

• Jenkins UI tour
• Creating freestyle jobs
• Source code integration with Git
• Triggering builds manually and automatically

🧰 Module 3: Build Tools Integration

• Using Maven, Gradle, or npm in builds
• Understanding build steps and post-build actions
• Generating artifacts and storing them

🔄 Module 4: Pipeline-as-Code (Declarative & Scripted)

• What is a Jenkinsfile?
• Creating basic declarative pipelines
• Stages, steps, environment, post conditions
• Scripted pipelines overview

🔌 Module 5: Plugins & Integrations

• Installing and configuring plugins
• GitHub, Slack, Docker, JUnit integrations
• Adding credentials securely

🔁 Module 6: Triggering & Automation

• Webhooks and GitHub auto-triggers
• Poll SCM and scheduled builds
• Conditional and parallel execution

🐳 Module 7: Docker & Deployment (Optional Deep Dive)

• Using Docker agents in pipelines
• Building Docker images in Jenkins
• Deploying to test/staging environments

🛠️ Module 8: Final Project

• CI/CD Pipeline for a Web App
  • Code checkout from GitHub
  • Run tests, package with Maven
  • Build Docker image
  • Push to DockerHub
  • Deploy to staging server

---

⏱️ Duration Estimates (with hands-on practice)

Daily Study Time	Estimated Duration	Notes
2 hours/day	12–14 days (~2 weeks)	Ideal for professionals
4 hours/day	6–7 days (~1 week)	Balanced pace with project
6 hours/day	3–4 days (bootcamp)	Fast-paced with practice

---

🎓 Outcome

By the end of Jenkins Jumpstart, you will:

• Set up and manage Jenkins with real CI/CD workflows
• Automate testing, building, and deployment using pipelines
• Write and maintain Jenkinsfiles for version-controlled automation
• Be ready to integrate Jenkins into DevOps, microservices, and cloud workflows

🐳 Docker Unboxed: Containerization for Developers & DevOps

---

🧾 Course Description

Docker is a game-changing tool for modern software development — enabling you to package applications with all their dependencies into lightweight, portable containers.

In “Docker Unboxed”, you’ll learn how to containerize applications, manage images and volumes, and orchestrate services using Docker CLI and Docker Compose. Whether you’re a developer, DevOps engineer, or system admin, this hands-on course teaches you how to simplify deployment, eliminate “it works on my machine”, and build scalable systems from day one.

---

✅ Key Benefits

• 📦 Package Once, Run Anywhere — Learn to containerize any app with zero dependency hell
• 🔁 Faster Development Cycles — Consistent dev environments using Docker images
• 🌍 Deploy Like a Pro — Use containers in staging, CI/CD, or production
• 🔗 Connect Services Easily — Work with multi-container apps using Docker Compose
• 🧰 Foundation for Kubernetes — Build the skills to move into container orchestration

---

🎯 Pre-requisites

• Basic understanding of Linux commands (recommended)
• Familiarity with software development or DevOps workflows
• Optional: Prior exposure to Git, APIs, and web apps

---

📚 Curriculum Breakdown

📘 Module 1: Introduction to Docker

• What is Docker? Containers vs VMs
• Installing Docker (Desktop or CLI)
• Basic commands: docker version, docker info

📦 Module 2: Working with Docker Images

• Understanding Docker images vs containers
• Pulling and running images (docker run, docker pull)
• Exploring Docker Hub

🏗️ Module 3: Creating Your Own Containers

• Writing a Dockerfile
• Building images using docker build
• Managing images: tag, remove, reuse

🔄 Module 4: Volumes and Persistence

• Why containers are stateless by default
• Mounting volumes to persist data
• Bind mounts vs managed volumes

🌐 Module 5: Networking in Docker

• Bridge, host, and overlay networks
• Exposing ports (-p)
• Linking multiple containers

🧱 Module 6: Docker Compose

• Writing a docker-compose.yml file
• Defining multi-container applications (e.g., app + DB)
• Compose commands: up, down, logs, exec

🛡️ Module 7: Best Practices & Cleanup

• Layer caching and image size optimization
• Deleting unused images/containers (prune)
• Environment variables and secrets

🛠️ Module 8: Final Project

• Build a Multi-Container App (Node.js + MongoDB or Python + PostgreSQL)
  • Containerized backend
  • Persistent DB
  • Shared network
  • Docker Compose orchestration

---

⏱️ Duration (Based on Daily Study Time)

Daily Study Time	Duration	Notes
2 hours/day	10–12 days (~2 weeks)	Includes hands-on labs
4 hours/day	5–6 days (1 week)	Great for project-based sprint
6 hours/day	3–4 days (bootcamp)	Fast-paced with deep practice

---

🎓 Outcome

By the end of Docker Unboxed, you’ll:

• Build, run, and manage containers using Docker CLI and Docker Compose
• Understand how containers simplify testing, deployment, and scaling
• Be ready to integrate Docker in CI/CD, cloud environments, or move to Kubernetes