Category: DevOps

  • Github Actions: Code, Push, Automate

    Github Actions: Code, Push, Automate

    ⚙️ 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 TimeEstimated DurationNotes
    2 hours/day8–10 days (~2 weeks)Relaxed pace with practice
    4 hours/day4–5 days (1 week)Focused pace + demo pipelines
    6 hours/day2–3 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 Concepts: Release Like a Pro

    CI/CD Concepts: Release Like a Pro

    🔄 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 TimeEstimated DurationLearning Style
    2 hours/day10–12 days (~2 weeks)Ideal for foundational learners
    4 hours/day5–6 days (1 week)Good pace with live demos
    6 hours/day3–4 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
  • Kubernetes: The Cloud Orchestrator

    Kubernetes: The Cloud Orchestrator

    ☸️ Kubernetes Unlocked: Orchestrate Containers Like a Pro


    🧾 Course Description

    Kubernetes (K8s) is the industry-standard container orchestration platform used to deploy, scale, and manage modern applications across clusters of machines. In “Kubernetes Unlocked”, you’ll gain hands-on experience with deploying containerized apps, managing clusters, rolling updates, autoscaling, and service discovery.

    This course bridges theory and practice with real-world examples, YAML configs, and CLI workflows. Whether you’re a DevOps engineer, backend developer, or system architect, Kubernetes is essential to operate at scale — and this course gets you there fast.


    Key Benefits

    • ☸️ Master K8s Core Concepts — Pods, deployments, services, volumes, and namespaces
    • 🔁 Automate Scaling & Rollouts — Keep apps reliable under load and during updates
    • 🌐 Build Real Clusters — Use Minikube, Kind, or cloud (EKS/GKE) for real deployments
    • 🔄 Integrate with CI/CD — Learn how K8s fits into DevOps pipelines
    • 📦 Foundation for Helm & Cloud-Native Apps — Prepares you for advanced orchestration

    🎯 Pre-requisites

    • Basic Docker knowledge (containers, images, Dockerfile, docker run)
    • Familiarity with Linux CLI
    • Recommended: understanding of YAML, Git, and basic networking

    📚 Curriculum Breakdown

    🔧 Module 1: Kubernetes Overview

    • Why Kubernetes? History and use cases
    • Architecture: Master, Node, API Server, Scheduler, etcd

    🛠️ Module 2: Setting Up Your Cluster

    • Install Minikube / Kind / Play with K8s (cloud playgrounds)
    • CLI tools: kubectl, kubeadm
    • Cluster configuration and context switching

    🧱 Module 3: Deploying Your First App

    • Pods and ReplicaSets
    • Deployments and rollout strategies
    • Labels, selectors, and annotations

    🌐 Module 4: Services & Networking

    • ClusterIP, NodePort, LoadBalancer
    • DNS in Kubernetes
    • Ingress controllers and ingress rules (basic)

    📦 Module 5: Volumes and ConfigMaps

    • PersistentVolumes and PersistentVolumeClaims (PVC)
    • ConfigMaps and Secrets for environment management

    📈 Module 6: Scaling, Health Checks & Auto-restarts

    • Horizontal Pod Autoscaler
    • Readiness and liveness probes
    • Rolling updates and rollbacks

    🧪 Module 7: Project — Deploy a Full App

    • Deploy a multi-container web app (frontend + backend + DB)
    • Expose via LoadBalancer or Ingress
    • Use ConfigMaps, volumes, and scaling

    ☁️ Module 8: (Optional Bonus) — Cloud Integration

    • Intro to Kubernetes in AWS/GCP (EKS, GKE)
    • YAML vs Helm basics

    ⏱️ Estimated Duration

    Daily Study TimeEstimated DurationNotes
    2 hours/day14–16 days (~2 weeks)Detailed with hands-on labs
    4 hours/day7–8 days (1 week)Practical & project-focused
    6 hours/day4–5 days (intensive)Ideal for bootcamp learners

    🎓 Outcome

    By the end of Kubernetes Unlocked, you’ll:

    • Deploy and manage production-ready apps in Kubernetes
    • Understand Pods, Services, Volumes, Ingress, and Scaling
    • Be ready to work with cloud-native tools (Helm, Prometheus, ArgoCD)
    • Confidently pursue DevOps, SRE, or Platform Engineering roles
  • Jenkins: Code Pipelines on their way to Production

    Jenkins: Code Pipelines on their way to Production

    ⚙️ 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 TimeEstimated DurationNotes
    2 hours/day12–14 days (~2 weeks)Ideal for professionals
    4 hours/day6–7 days (~1 week)Balanced pace with project
    6 hours/day3–4 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: Build Once, Ship Everywhere

    Docker: Build Once, Ship Everywhere

    🐳 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 TimeDurationNotes
    2 hours/day10–12 days (~2 weeks)Includes hands-on labs
    4 hours/day5–6 days (1 week)Great for project-based sprint
    6 hours/day3–4 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
  • Git: First Step Towards Managing Code Universe

    Git: First Step Towards Managing Code Universe

    🔧 Git It Right: Version Control for Developers & Teams


    🧾 Course Description

    Git is the most widely used version control system in the world — essential for developers, DevOps engineers, and teams working collaboratively on code. In “Git It Right”, you’ll learn how to track changes, manage branches, collaborate using GitHub, and fix mistakes like a pro.

    This course takes a hands-on approach to understanding Git’s core concepts through real-world scenarios. Whether you’re working solo or as part of a team, this course equips you with the skills to version, share, and manage code confidently.


    Key Benefits

    • 🧠 Understand Git Internals — Learn what really happens when you commit, push, pull, and merge
    • 🔄 Master Collaboration Workflows — Work on branches, resolve conflicts, and use pull requests
    • 🛠️ Fix Mistakes Without Fear — Undo commits, stash changes, and reset cleanly
    • 🌐 Work with GitHub — Fork repos, manage PRs, and contribute to open source
    • 🧰 Use CLI & GUI — Build command-line fluency and use visual tools like GitHub Desktop or VS Code Git

    🎯 Pre-requisites

    • Basic knowledge of file systems and programming concepts
    • Familiarity with command-line is helpful (but not mandatory)
    • No prior Git or version control experience required

    📚 Curriculum Breakdown

    🧱 Module 1: Introduction to Git

    • What is Git? Why version control?
    • Git vs GitHub vs GitLab
    • Installing Git and setting up GitHub account

    🔁 Module 2: Git Basics

    • Creating a repository
    • Tracking files: git add, git commit, git status
    • Git log, diff, and ignore

    🌿 Module 3: Branching and Merging

    • Creating and switching branches
    • Merging changes with git merge
    • Fast-forward vs recursive merges
    • Merge conflicts and resolution

    🚀 Module 4: Working with Remote Repositories

    • Cloning, pushing, and pulling
    • GitHub repository workflows
    • Fork, star, pull request (PR)
    • Syncing forks and upstream updates

    🔄 Module 5: Undoing and Fixing Mistakes

    • git reset, git checkout, git revert
    • Stashing temporary changes
    • Working with detached HEAD

    🔒 Module 6: Collaboration Workflows

    • Feature branches and GitFlow basics
    • Code review and team best practices
    • Pull request management in GitHub

    🛠️ Module 7: Git Tools & GUIs

    • VS Code Git Integration
    • GitHub Desktop basics
    • Git aliases and productivity tips

    🧪 Mini Project (Optional)

    • Simulate a real team collaboration:
      • Fork → clone → branch → PR → review → merge

    ⏱️ Duration (Based on Daily Study Time)

    Daily Study TimeEstimated DurationStyle
    2 hours/day12–14 days (~2 weeks)Relaxed, detailed pace
    4 hours/day6–7 days (~1 week)Ideal for bootcamp style
    6 hours/day4–5 days (intensive)Rapid, project-driven

    🎓 Outcome

    By the end of Git It Right, you will:

    • Use Git fluently from the command line
    • Confidently manage branches, commits, and collaborative workflows
    • Use GitHub to fork, pull request, and contribute to projects
    • Be ready for real-world team-based version control in jobs or freelancing
  • Linux: The King, Linux Demystified

    Linux: The King, Linux Demystified

    🐧 Linux Demystified: From Command Line to System Control


    🧾 Course Description

    Linux is the backbone of the internet, powering servers, cloud infrastructure, and developer machines worldwide. In “Linux Demystified”, you’ll master the fundamentals of using Linux from the command line — a critical skill for developers, DevOps engineers, system administrators, and ethical hackers.

    This course takes you from absolute basics to performing real-world tasks like managing files, users, services, and shell scripting. Whether you’re new to Linux or looking to build confidence in the terminal, this hands-on course will make the CLI your comfort zone.


    Key Benefits

    • 💻 Foundational for DevOps & Cloud — Essential skill for Docker, Kubernetes, AWS, and CI/CD workflows
    • 🧠 Master the Terminal — Learn practical bash commands and automation
    • 🗃️ Real-World Use Cases — Navigate, manipulate, and secure files and processes
    • 🧰 Boost Developer Efficiency — Speed up tasks using CLI shortcuts and scripts
    • 🔐 Security-Aware Admin Skills — Understand permissions, users, sudo, firewalls

    🎯 Pre-requisites

    • No prior Linux experience needed
    • Basic computer literacy (using keyboard, files, and terminal concepts)
    • Optional: familiarity with programming is helpful but not required

    📚 Curriculum Breakdown

    🧱 Module 1: Getting Started with Linux

    • What is Linux? Distros explained
    • Installing Ubuntu/Linux on VirtualBox or WSL
    • Understanding file system layout and root structure

    📂 Module 2: File System & Navigation

    • Commands: ls, cd, pwd, mkdir, rm, touch, cp, mv
    • File paths: relative vs absolute
    • Using wildcards and hidden files

    🔧 Module 3: File Permissions & Ownership

    • chmod, chown, umask
    • Understanding rwx, 777, symbolic and numeric modes
    • Groups and permission management

    🧑‍💻 Module 4: User and Group Management

    • Creating and deleting users
    • Managing groups, usermod, passwd
    • Sudo privileges and /etc/passwd

    🔁 Module 5: Process and Service Management

    • Understanding processes and PIDs
    • Commands: ps, top, kill, nice, systemctl, service
    • Starting/stopping/restarting services

    📦 Module 6: Package Management

    • APT (Debian/Ubuntu) and YUM (RHEL/CentOS)
    • Installing, updating, removing software
    • Adding repositories

    🛠️ Module 7: Shell Scripting Basics

    • Writing and executing .sh scripts
    • Variables, conditionals, loops
    • Automating system tasks

    🔐 Module 8: Security and Networking (Intro)

    • SSH and remote login
    • UFW firewall basics
    • Viewing open ports: netstat, ss, lsof

    🛠️ Mini Project (Optional)

    • Write a backup script or system monitor script
    • Create a multi-user environment simulation

    ⏱️ Duration (Based on Daily Study Time)

    Daily Study TimeDurationLearning Style
    2 hours/day18–20 days (~3 weeks)Ideal for working professionals
    4 hours/day9–10 days (~2 weeks)Good balance for job seekers
    6 hours/day6–7 days (intensive)Bootcamp-style fast track

    🎓 Outcome

    By the end of Linux Demystified, you will:

    • Confidently navigate and control Linux systems via CLI
    • Automate tasks using shell scripting
    • Manage users, permissions, services, and software
    • Be job-ready for DevOps, cloud, sysadmin, or security foundations