Online Business Builder

From Beginner To Full Stack Hero

Author: prraful

  • API Testing with Postman: Testing is MUST Before Delivery

    API Testing with Postman: Testing is MUST Before Delivery

    🔍 API Testing with Postman: Validate, Automate, and Assure Quality

    🧾 Course Description

    APIs are the backbone of modern applications — and testing them is critical to ensure reliability and performance. In “API Testing with Postman”, you’ll learn how to interact with REST APIs, write tests, automate workflows, and integrate with CI pipelines using Postman, one of the most popular API testing tools.

    This hands-on course teaches not only how to send requests and check responses, but also how to validate data, manage environments, chain requests, and build automated test collections that improve API quality across dev and QA workflows.

    Ideal for developers, QA testers, and DevOps engineers, this course ensures you can test any API confidently and consistently.

    ✅ Key Benefits

    • 🔧 No-Code to Low-Code Testing — Postman enables beginners to write powerful API tests
    • 🔁 Reusable & Automated Workflows — Run collections with dynamic data and scripts
    • 🚦 Shift-Left Quality Assurance — Catch issues earlier in the API lifecycle
    • 🔐 Test Auth & Security — Support for Bearer tokens, OAuth2, and headers
    • 🌐 CI/CD Integration Ready — Automate tests with Postman CLI and GitHub Actions

    🎯 Pre-requisites

    • Basic understanding of APIs (GET, POST, JSON, HTTP methods)
    • Familiarity with JSON and status codes
    • Optional: Experience with JavaScript (for scripting in Postman)

    📚 Curriculum Breakdown

    📘 Module 1: Introduction to API Testing

    • What is an API? REST vs SOAP
    • Why API testing matters
    • Installing Postman and workspace setup

    🧪 Module 2: Sending Requests & Viewing Responses

    • GET, POST, PUT, DELETE requests
    • Setting headers, query params, and body
    • Viewing status codes, headers, and response body

    🧠 Module 3: Writing Basic Tests in Postman

    • Using pm library to write tests
    • Status code validation
    • JSON body content assertions
    • Response time and header checks

    🌐 Module 4: Collections, Variables & Environments

    • Creating Postman collections
    • Global, environment, and collection variables
    • Environment switching and dynamic URLs

    🔁 Module 5: Chaining Requests & Data-Driven Testing

    • Passing data from one request to another
    • Pre-request and test scripts
    • Running collection with dynamic data (CSV, JSON)

    🧰 Module 6: Advanced Features

    • Authorization (Bearer, Basic, OAuth2)
    • Mock servers and monitors
    • Generating code snippets in different languages
    • Importing Swagger/OpenAPI specs

    🧪 Module 7: Automation & Integration

    • Using Newman CLI to run tests from terminal
    • Generating HTML reports
    • Integrating with GitHub Actions, Jenkins, or CI/CD tools

    🛠️ Module 8: Final Project

    • API Test Suite for a Sample Application
      • Full collection: auth → CRUD → validation → logout
      • Environment setup
      • Run via Newman with CLI reporting

    ⏱️ Estimated Duration

    Daily Study TimeEstimated DurationIdeal For
    2 hours/day8–10 days (~2 weeks)QA teams, testers, part-time devs
    4 hours/day4–5 days (1 week)Project-based learners
    6 hours/day2–3 days (bootcamp)Accelerated with labs
  • Cloud Deployment Strategies

    Cloud Deployment Strategies

    ☁️ Cloud Deployment Strategies: Ship Smarter, Scale Better

    🧾 Course Description

    Cloud deployment is no longer just about uploading code — it’s about deploying securely, reliably, and at scale. In “Cloud Deployment Strategies”, you’ll master the principles and techniques for delivering applications to public, private, and hybrid cloud platforms using modern DevOps approaches.

    This course explores multiple deployment strategies like blue-green, canary, rolling, and recreate, and shows how to implement them using tools like Docker, Kubernetes, GitHub Actions, and cloud platforms like AWS, Azure, or GCP.

    By the end, you’ll be confident designing and executing deployment pipelines that reduce downtime, mitigate risk, and deliver fast.

    ✅ Key Benefits

    • 🚀 Minimize Downtime — Learn zero-downtime deployments using modern strategies
    • 🔁 Progressive Delivery — Canary and rolling releases ensure stability and fast feedback
    • 🛡️ Risk-Controlled Shipping — Use automated rollbacks, traffic shifting, and versioning
    • 🌍 Cloud-Native Focus — Apply concepts on AWS, Azure, GCP, and Kubernetes
    • ⚙️ Tool-Integrated — Combine CI/CD tools, Docker, and infrastructure automation seamlessly

    🎯 Pre-requisites

    • Basic understanding of DevOps workflow and CI/CD pipelines
    • Familiarity with Docker, Git, and basic shell scripting
    • Optional: exposure to Kubernetes, cloud providers (AWS, GCP, Azure), or Terraform

    📚 Curriculum Breakdown

    🌐 Module 1: Introduction to Deployment

    • Evolution of software deployment
    • Deployment goals: speed, reliability, security
    • Overview of cloud environments: public, private, hybrid

    🔄 Module 2: Deployment Strategies Overview

    • Recreate (Basic)
    • Rolling
    • Blue-Green
    • Canary
    • A/B Testing and Shadow Deployment (intro)

    ⚙️ Module 3: Implementing Deployment Strategies

    • Docker-based deployment basics
    • Running rolling and recreate deployments using shell scripts & services
    • Blue-green and canary rollout using load balancers (Nginx/ALB)

    ☸️ Module 4: Kubernetes-Based Deployments

    • Deployments with kubectl and kubectl rollout
    • Rolling updates in Kubernetes
    • Canary deployments using labels, selectors, and services
    • Argo Rollouts (intro)

    📦 Module 5: Deployment Automation with CI/CD

    • GitHub Actions / GitLab CI pipeline integration
    • Deploy on commit, approve to production
    • Rollback on failure using conditions and health checks

    🔒 Module 6: Deployment Patterns & Monitoring

    • Health checks and readiness probes
    • Traffic splitting and feature flag integration
    • Logging, monitoring, and rollback automation

    🧪 Module 7: Final Project

    • End-to-End Deployment Project:
      • Containerized web app
      • CI/CD pipeline with GitHub Actions
      • Blue-Green deployment to staging/production
      • Auto-monitoring + rollback strategy

    ⏱️ Estimated Duration

    Daily Study TimeEstimated DurationLearning Style
    2 hours/day14–16 days (~2–2.5 weeks)Ideal for learners with day jobs
    4 hours/day7–8 days (~1 week)Deep focus with real-world practice
    6 hours/day4–5 days (bootcamp)Fast-paced, project-driven track

    🎓 Outcome

    By the end of Cloud Deployment Strategies, you’ll:

    • Understand and compare multiple deployment strategies
    • Design zero-downtime pipelines using tools like Docker, Kubernetes, and GitHub Actions
    • Automate rollouts and rollbacks based on metrics and health
    • Be ready to implement real-world cloud deployments in startup or enterprise environments
  • Infrastructure as a Code (IaaC): Terraforming the Cloud

    Infrastructure as a Code (IaaC): Terraforming the Cloud

    🏗️ Infrastructure as Code Essentials: Automate Your Cloud the DevOps Way

    🧾 Course Description

    Infrastructure as Code (IaC) is a foundational DevOps practice that enables you to provision and manage cloud infrastructure using version-controlled code — making your infrastructure reliable, repeatable, and scalable.

    In “Infrastructure as Code Essentials”, you’ll learn the core concepts of IaC, hands-on usage of tools like Terraform, and real-world scenarios involving cloud provisioning, modularization, and automation. This course equips developers, DevOps engineers, and cloud architects to treat infrastructure the same way as application code — with testing, reusability, and CI/CD integration.

    ✅ Key Benefits

    • ⚙️ Automate Infrastructure Creation — No more manual provisioning or drift
    • 🔁 Version-Controlled & Reproducible — Rollback changes just like source code
    • ☁️ Multi-Cloud Compatible — Use Terraform to provision AWS, Azure, GCP, and more
    • 📦 Modular & Scalable — Build reusable and parameterized infrastructure modules
    • 🔐 Secure by Default — Manage secrets, policies, and configurations consistently

    🎯 Pre-requisites

    • Basic understanding of cloud computing (e.g., AWS EC2, S3, IAM concepts)
    • Familiarity with command-line interface (CLI)
    • Optional but helpful: Git, YAML/JSON syntax, or CI/CD basics
    • No prior experience with Terraform or IaC tools required

    📚 Curriculum Breakdown

    📘 Module 1: Introduction to Infrastructure as Code

    • What is IaC? Benefits & challenges
    • Declarative vs imperative IaC
    • Popular IaC tools: Terraform, CloudFormation, Pulumi (overview)

    ⚙️ Module 2: Terraform Basics

    • Installing Terraform
    • HCL syntax, provider blocks, and resources
    • Creating and destroying infrastructure (init, plan, apply, destroy)

    🧱 Module 3: Variables, Outputs & State

    • Defining variables and input parameters
    • Output values and references between resources
    • Terraform state files and state locking

    📦 Module 4: Modular Infrastructure Design

    • Breaking configs into modules
    • Passing variables to modules
    • Using remote modules from the Terraform Registry

    ☁️ Module 5: Real-World Cloud Provisioning

    • Provision AWS infrastructure (EC2, VPC, IAM, S3)
    • Reusable VPC + subnet modules
    • Intro to Azure and GCP equivalents

    🔐 Module 6: Managing Secrets & Backends

    • Using environment variables and .tfvars
    • Storing state in S3 and securing with DynamoDB locking
    • Terraform Cloud & remote workspaces (intro)

    🧪 Module 7: Project – Infrastructure Pipeline

    • Deploy a complete AWS environment using Terraform
      • VPC + EC2 + RDS + S3
      • Parameterized variables
      • Modular structure
      • Remote backend
      • Provision via CI/CD (GitHub Actions or Jenkins)

    ⏱️ Estimated Duration

    Daily Study TimeEstimated DurationLearning Style
    2 hours/day12–14 days (~2 weeks)Ideal for professionals and learners
    4 hours/day6–7 days (1 week)Balanced theory + hands-on practice
    6 hours/day3–4 days (bootcamp)Fast-track with real-world project

    🎓 Outcome

    By the end of Infrastructure as Code Essentials, you’ll:

    • Write reusable infrastructure scripts using Terraform
    • Provision and manage cloud infrastructure with automation
    • Implement infrastructure pipelines integrated with CI/CD
    • Be ready for DevOps, Cloud Engineer, or Platform Architect roles
  • Microservices Mindset

    Microservices Mindset

    🧩 Microservices Decoded: Design Scalable Systems with Confidence

    🧾 Course Description

    Microservices architecture is the backbone of modern enterprise and cloud-native systems. In “Microservices Decoded”, you’ll learn how to design, build, and deploy distributed applications that are scalable, resilient, and independently deployable.

    This course covers everything from breaking a monolith into services, communication strategies, service discovery, and inter-service security — all explained with real-world scenarios, design patterns, and optional implementation using Spring Boot, Docker, and API Gateway.

    Whether you’re a developer, architect, or DevOps professional, this course will give you the conceptual clarity and system-level thinking needed to excel in a microservices environment.

    ✅ Key Benefits

    • 🧠 Think in Systems, Not Scripts — Learn to design modular, scalable architectures
    • 🔗 Build for Independence — Avoid bottlenecks by decoupling services
    • 📦 Polyglot Flexibility — Use the best tech stack for each service
    • 🚀 Deploy Faster & Smarter — Improve delivery with independent pipelines
    • 💥 Resilience by Design — Handle failures, retries, and distributed state like a pro

    🎯 Pre-requisites

    • Solid understanding of REST APIs, HTTP, and basic backend development
    • Familiarity with Java (Spring Boot) or any web framework (Node.js, Python, etc.)
    • Basic knowledge of Docker, Git, and CI/CD concepts recommended
    • Optional: exposure to monolithic app structure

    📚 Curriculum Breakdown

    🔧 Module 1: Introduction to Microservices

    • What are Microservices?
    • Monolith vs Microservices
    • Benefits & trade-offs of distributed architecture

    🧱 Module 2: Service Decomposition

    • Identifying service boundaries
    • Domain-Driven Design (DDD) basics
    • Bounded contexts and database-per-service pattern

    🌐 Module 3: Communication Between Services

    • RESTful HTTP, messaging queues (RabbitMQ, Kafka)
    • Synchronous vs asynchronous
    • Circuit breakers, retries, fallbacks

    🔁 Module 4: Service Discovery and API Gateway

    • Centralized routing with API Gateway
    • Load balancing and dynamic service discovery
    • Netflix Eureka, Consul (conceptual)

    🔒 Module 5: Security and Config Management

    • Inter-service authentication (JWT, OAuth2)
    • Centralized config with Spring Cloud Config or Vault
    • Environment-specific configurations

    ⚙️ Module 6: Observability & Monitoring

    • Centralized logging with ELK
    • Distributed tracing (Zipkin, Jaeger)
    • Metrics collection (Prometheus, Grafana)

    🧪 Module 7: Practical Microservice Project (Spring Boot-based)

    • Build 3 microservices (e.g., User, Order, Inventory)
    • Use REST communication
    • Add service registry + config server + gateway
    • Include fault tolerance (Hystrix/resilience4j)
    • Deploy using Docker + Docker Compose

    ⏱️ Estimated Duration

    Daily Study TimeEstimated DurationNotes
    2 hours/day15–18 days (~3 weeks)Ideal for professionals & part-timers
    4 hours/day8–9 days (~1.5 weeks)Balanced theory + practice
    6 hours/day5–6 days (bootcamp)Project-heavy accelerated learning

    🎓 Outcome

    By the end of Microservices Decoded, you will:

    • Understand microservice design principles, trade-offs, and best practices
    • Decompose monoliths into maintainable, scalable services
    • Handle inter-service communication, observability, and service failure
    • Be ready to work on enterprise-grade microservice systems using Spring Boot, Docker, and cloud platforms
  • 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