Docker,Kubernetes&CI/CD:MasterModernDevOpsTools
Learn containerization, orchestration, and automated deployment pipelines used by modern engineering teams to ship software reliably.
CourseOverview
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.
What You Learn
- 9 Learning Modules
- 15+ Practice Quizzes
- 1 Capstone Portfolio Project
What You Build
- 5 Production Projects
- 20+ Hands-on Labs
- 8+ Core Case Studies
Job Assistance
- Industry-Recognized Certification
Live Help & Support
- 45+ Hours Interactive Lectures
- Doubt Support
LearningCurriculum
A high-octane roadmap spanning 10 Weeks. Master the stack through production-grade modules.
Containerization Fundamentals
Understand why containers matter and how Docker works.
Core Concepts
Build Target
Containerize a Simple Node.js Application
Questions? Chat on WhatsApp
Technologies&Software
Master the industry standard software ecosystem. Build deep expertise in production-tested developer tools.
Containerization
Docker
IntermediatePackage applications and dependencies into containers.
Kubernetes
AdvancedOrchestrate, scale, and manage containerized applications.
CI/CD
Jenkins
IntermediateAutomate build, test, and deployment pipelines.
GitHub Actions
IntermediateAutomate workflows directly from GitHub repositories.
Developer Tools
Git
FundamentalsVersion control application and pipeline code.
Helm
AdvancedPackage and manage Kubernetes applications.
AI Tools
ChatGPT
FundamentalsDebug 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.
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.
- Frontend & Backend Dockerfiles
- Docker Compose Setup
- Database Container
- Environment Variables
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.
- Multi-Stage Dockerfile
- Image Size Comparison
- Build Cache Optimization
- Security Scan
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.
- Deployments & Services
- ConfigMaps & Secrets
- Helm Chart
- Rolling Updates
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.
- Horizontal Pod Autoscaler
- Liveness/Readiness Probes
- Load Testing
- Failure Simulation
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.
- Automated Build & Test
- Container Registry Push
- GitOps Deployment
- Rollback on Failure
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.
- Centralized Logging
- Metrics Dashboards
- Alert Rules
- Incident Runbook
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.
- Traffic Routing Rules
- Canary Release
- Retry & Circuit Breaking
- Mesh Observability
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.
- Containerized Microservices
- GitOps CI/CD Pipeline
- Autoscaling & Self-Healing
- Full Observability Stack
- Architecture Documentation
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
Build CI/CD pipelines and containerize applications using Docker.
Salary Outlook: ₹4–8 LPA
Manage container orchestration and scaling using Kubernetes.
Salary Outlook: ₹9–15 LPA
Design automated deployment pipelines and infrastructure-as-code practices.
Salary Outlook: ₹16–25 LPA
Own platform engineering strategy across the organization's infrastructure.
Salary Outlook: ₹28–38 LPA
In-Demand Recruiter Skills
Industry Credentials
- Docker Certified Associate
- Certified Kubernetes Administrator
Recruitment Network
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.