Dhivardhana IT Institute
Dhivardhana
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Docker,Kubernetes&CI/CD:MasterModernDevOpsTools

Learn containerization, orchestration, and automated deployment pipelines used by modern engineering teams to ship software reliably.

Program LevelIntermediate
Time Commitment10 Weeks
Weekly Load10-12 Hrs / Week
Delivery FormatOnline

CourseOverview

Containers and automated pipelines have become the standard way software gets shipped , and knowing these tools sets developers apart in interviews. This course teaches you to containerize applications with Docker, orchestrate them with Kubernetes, and build CI/CD pipelines that automate testing and deployment. You'll work hands-on with real applications, learning to write Dockerfiles, manage Kubernetes deployments, and set up pipelines using tools like GitHub Actions and Jenkins. The course also covers how AI-assisted monitoring fits into modern DevOps workflows to catch failures early. By the end, you'll be able to take an application from code to a fully automated, containerized deployment.

Target Audience

  • Working Professionals
  • Career Switchers
  • Students

Prerequisites

  • Basic Linux Commands
  • Basic Programming Knowledge

Career Outcomes

  • DevOps Engineer
  • Site Reliability Engineer
  • Cloud Engineer

ProgramStructure

Our instructional format is built to translate academic concepts into production engineering. This course spans 8 Weeks of immersive, hybrid training.

Syllabus & Tests

What You Learn

  • 9 Learning Modules
  • 15+ Practice Quizzes
  • 1 Capstone Portfolio Project
Real Projects

What You Build

  • 5 Production Projects
  • 20+ Hands-on Labs
  • 8+ Core Case Studies
Career Growth

Job Assistance

  • Industry-Recognized Certification
Mentors & Classes

Live Help & Support

  • 45+ Hours Interactive Lectures
  • Doubt Support

LearningCurriculum

A high-octane roadmap spanning 10 Weeks. Master the stack through production-grade modules.

Module 01

Containerization Fundamentals

Understand why containers matter and how Docker works.

Core Concepts

Containers vs Virtual Machines
Docker Architecture
Installing Docker
Docker Images & Containers
Docker Hub Basics
Basic Docker CLI Commands

Build Target

Containerize a Simple Node.js Application

Docker

Questions? Chat on WhatsApp

Technologies&Software

Master the industry standard software ecosystem. Build deep expertise in production-tested developer tools.

Containerization

Docker

Docker

Intermediate

Package applications and dependencies into containers.

Kubernetes

Kubernetes

Advanced

Orchestrate, scale, and manage containerized applications.

CI/CD

Jenkins

Jenkins

Intermediate

Automate build, test, and deployment pipelines.

GitHub Actions

GitHub Actions

Intermediate

Automate workflows directly from GitHub repositories.

Developer Tools

Git

Git

Fundamentals

Version control application and pipeline code.

Helm

Helm

Advanced

Package and manage Kubernetes applications.

AI Tools

ChatGPT

ChatGPT

Fundamentals

Debug pipeline failures and container configuration issues.

PortfolioProjects

Build production-grade systems throughout this track. Every project is designed to mirror real business requirements and establish technical authority in your portfolio.

Mini ProjectBeginner1 Week

Dockerizing a Full Stack Application

Students containerize a simple full-stack app with separate Dockerfiles for frontend and backend, then orchestrate both with Docker Compose alongside a database. By the end, students walk away with a working, documented build that clearly demonstrates containerization and multi-container orchestration to recruiters and interviewers.

Core Specifications
  • Frontend & Backend Dockerfiles
  • Docker Compose Setup
  • Database Container
  • Environment Variables
Deployment Tech Stack
DockerDocker Compose
GitHub Deployable
Portfolio Feature
Mini ProjectBeginner1 Week

Container Image Optimization Lab

A hands-on lab where students shrink bloated Docker images using multi-stage builds and minimal base images, measuring build time and image size improvements. The finished build is structured for a portfolio or GitHub profile, giving students a concrete example of multi-stage dockerfile they can walk through in an interview.

Core Specifications
  • Multi-Stage Dockerfile
  • Image Size Comparison
  • Build Cache Optimization
  • Security Scan
Deployment Tech Stack
DockerMulti-Stage Builds
GitHub Deployable
Portfolio Feature
Guided ProjectIntermediate2 Weeks

Deploying a Microservices App to Kubernetes

Students deploy a small microservices application to a Kubernetes cluster, defining deployments, services, and config maps, learning core Kubernetes object management. Students finish with a polished, presentable deliverable and a clear narrative of the decisions behind configmaps & secrets for future employers to evaluate.

Core Specifications
  • Deployments & Services
  • ConfigMaps & Secrets
  • Helm Chart
  • Rolling Updates
Deployment Tech Stack
KuberneteskubectlHelm
GitHub Deployable
Portfolio Feature
Guided ProjectIntermediate2 Weeks

Kubernetes Autoscaling & Self-Healing Lab

Students configure horizontal pod autoscaling and liveness/readiness probes for a sample app, then simulate failures to observe Kubernetes self-healing in action. This mirrors how real teams scope similar work, so students leave with both the artifact and a defensible explanation of their autoscaling choices.

Core Specifications
  • Horizontal Pod Autoscaler
  • Liveness/Readiness Probes
  • Load Testing
  • Failure Simulation
Deployment Tech Stack
KubernetesHPAPrometheus
GitHub Deployable
Portfolio Feature
Guided ProjectAdvanced3 Weeks

End-to-End CI/CD Pipeline with GitHub Actions & Kubernetes

A production-style CI/CD pipeline that builds container images, runs automated tests, and deploys to Kubernetes using GitOps principles, reflecting how modern engineering teams ship software. The project is designed to be extended afterward, giving students a natural talking point about gitops during placement interviews.

Core Specifications
  • Automated Build & Test
  • Container Registry Push
  • GitOps Deployment
  • Rollback on Failure
Deployment Tech Stack
GitHub ActionsDockerKubernetesArgoCD
GitHub Deployable
Portfolio Feature
Industry ProjectAdvanced2 Weeks

Centralized Logging & Monitoring Stack

Students deploy a centralized observability stack for a Kubernetes cluster, collecting logs and metrics from multiple services into unified dashboards and alerts. By the end, students walk away with a working, documented build that clearly demonstrates observability and metrics & logging to recruiters and interviewers.

Core Specifications
  • Centralized Logging
  • Metrics Dashboards
  • Alert Rules
  • Incident Runbook
Deployment Tech Stack
PrometheusGrafanaELK Stack
GitHub Deployable
Portfolio Feature
Industry ProjectAdvanced2 Weeks

Service Mesh Traffic Management

Students introduce a service mesh into a microservices cluster to manage traffic routing, retries, and canary releases, exploring patterns used in large-scale production systems. The finished build is structured for a portfolio or GitHub profile, giving students a concrete example of traffic routing rules they can walk through in an interview.

Core Specifications
  • Traffic Routing Rules
  • Canary Release
  • Retry & Circuit Breaking
  • Mesh Observability
Deployment Tech Stack
IstioKubernetes
GitHub Deployable
Portfolio Feature
Capstone ProjectAdvanced4 Weeks

Cloud-Native DevOps Capstone: Full Delivery Pipeline

A capstone project delivering a complete cloud-native pipeline: containerized microservices, Kubernetes deployment, GitOps CI/CD, observability, and autoscaling - packaged as a comprehensive DevOps portfolio piece for interviews. Students finish with a polished, presentable deliverable and a clear narrative of the decisions behind gitops ci/cd pipeline for future employers to evaluate.

Core Specifications
  • Containerized Microservices
  • GitOps CI/CD Pipeline
  • Autoscaling & Self-Healing
  • Full Observability Stack
  • Architecture Documentation
Deployment Tech Stack
DockerKubernetesGitHub ActionsArgoCDPrometheusGrafana
GitHub Deployable
Portfolio Feature
Credential Checked

CareerOutcomes

Master Containerization and Automated Delivery. Containerization and automated deployment pipelines have become the standard for shipping reliable software at scale, making Docker and Kubernetes core skills for any engineer working close to production systems. This course covers container orchestration and CI/CD pipeline design, preparing learners for DevOps-focused roles across product companies and enterprises running modern infrastructure.

Target Job Roles

DevOps Engineer (Jr.)
0–2 Years

Build CI/CD pipelines and containerize applications using Docker.

Salary Outlook: ₹4–8 LPA

Kubernetes Engineer
1–4 Years

Manage container orchestration and scaling using Kubernetes.

Salary Outlook: ₹9–15 LPA

Senior DevOps Engineer
4–7 Years

Design automated deployment pipelines and infrastructure-as-code practices.

Salary Outlook: ₹16–25 LPA

Platform Engineering Lead
8–12 Years

Own platform engineering strategy across the organization's infrastructure.

Salary Outlook: ₹28–38 LPA

Top Hiring Industries
Product CompaniesIT ServicesBankingFinTechAI Startups

In-Demand Recruiter Skills

DockerKubernetesCI/CDLinuxProblem Solving

Industry Credentials

  • Docker Certified Associate
  • Certified Kubernetes Administrator

Recruitment Network

AmazonMicrosoftIBMTCSInfosys

FrequentlyAskedQuestions

Have questions about this program? Review our comprehensive breakdown of curriculum, requirements, and logistics.

Still have questions?

If you cannot find the answer to your query in our FAQ database, our academic advisors are available for direct consultations.

Who should take this Docker, Kubernetes & CI/CD course?

This course is for developers and IT professionals who want to specialize in containerization and deployment automation, core skills for any modern DevOps or platform engineering role. Many of our learners join with different starting points, so the pacing is designed to keep both newcomers and quick learners engaged throughout.

Do I need prior DevOps experience to join?

No prior DevOps experience is required, though basic familiarity with the command line and application development helps you follow along more comfortably. The early sessions are paced deliberately so no one falls behind before the core concepts click into place.

Is this course suitable for beginners to containerization?

Yes, the course starts with core containerization concepts before progressing into orchestration with Kubernetes and setting up CI/CD pipelines. We've seen many students with no prior technical background complete this course successfully with consistent weekly effort. The key is steady practice between sessions rather than natural aptitude, so consistency matters more than your starting point.

Will I receive a certificate after completing this course?

Yes, a certificate is issued after completing all modules, labs, and your final deployment project, showcasing your containerization and automation skills. This gives you tangible proof of skill that you can reference during technical interviews and portfolio reviews. It's a recognized way to show recruiters you've gone beyond theory and actually shipped working projects during the course.

Is placement support included with this specialization course?

This is a focused specialization course without full placement support; pairing it with our Cloud & DevOps Engineering program gives you access to complete career assistance. Outcomes vary by individual effort, but the structured support meaningfully improves your chances compared to job hunting alone.

Are hands-on deployment projects included?

Yes, you'll containerize applications, deploy them to a Kubernetes cluster, and set up automated CI/CD pipelines, mirroring real DevOps workflows. These projects are designed to closely resemble what you'd actually be asked to build in a junior role. You'll receive structured feedback on each project, so you understand not just what works but why it works.

Is there an internship opportunity with this course?

No, this specialization course doesn't include a formal internship, but the projects demonstrate hands-on DevOps skills that are highly valued by employers. This experience often becomes a key talking point in interviews when discussing practical, applied skills. This is one of the most valuable parts of the program, since it closely simulates the ambiguity of real workplace tasks.

Can working professionals complete this course alongside their job?

Yes, the course is scheduled flexibly with recordings available, making it manageable for working professionals to specialize in DevOps tooling. Many of our students are working professionals, so the course structure has been refined specifically around this constraint. You can also reach out to mentors outside live sessions if you get stuck while studying independently.

Will I learn to write Dockerfiles from scratch?

Yes, you'll learn to containerize applications by writing Dockerfiles, managing images, and understanding best practices for building lightweight, production-ready containers. Understanding this well will also make it easier to pick up related tools and concepts down the line. This reflects current industry practice, so the skills you build stay directly relevant to what employers are actually looking for.

Does the course cover Kubernetes orchestration in depth?

Yes, you'll learn core Kubernetes concepts including pods, deployments, and services, giving you practical experience managing containerized applications at scale. We keep this part of the curriculum updated regularly to match how the technology is actually used in the field today.

Will I set up a CI/CD pipeline during the course?

Yes, you'll build an automated pipeline that tests and deploys code changes, giving you hands-on experience with the automation practices used by modern engineering teams. This is one of the areas where hands-on practice makes the biggest difference in how confident you feel afterward.