DOCKER & KUBERNETES TRAINING

Master Docker & Kubernetes Build. Deploy. Scale. Automate.

Learn containerization and orchestration with Docker & Kubernetes through hands-on labs and real-world DevOps projects.

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Training Advisor

Get course details, batch timings & guidance.

5 to 7 Weeks

Course Duration

Hands-On

Labs & Projects

Real Deployments

End-To-End

Certification

Guidance

Career

Growth

OVERVIEW OF SYLLABUS COVERED

Introduction to Containers and Virtualization

Docker Installation and Architecture

Docker Images and Containers

Docker Compose and Networking

Kubernetes Architecture

Pods, Deployments, and Services

ConfigMaps and Secrets

Ingress and Load Balancing

Persistent Volumes and Storage

Helm Basics

CI/CD Integration

Monitoring and Troubleshooting

PREREQUISITES

  • Basic Linux command knowledge
  • Understanding of networking basics
  • Familiarity with cloud concepts is helpful

CAREER OPPORTUNITIES

  • DevOps Engineer
  • Kubernetes Administrator
  • Site Reliability Engineer (SRE)
  • Cloud Engineer
  • Platform Engineer

COURSE HIGHLIGHTS

  • DevOps Project-Based Learning
  • Hands-On Labs & Real Deployments
  • Industry-Relevant Skills
  • Expert-Led Training
  • Certification Guidance

Course Overview

Training Mode                           Live Online Training
Duration                                     5-7 weeks
Level                                           Beginner to Advanced
Material Access                         1 Year
Batches                                      Weekend & Weekdays

STUDENT SUCCESS

1000+

Learners Trained

4.9/5

Average Rating

30 Hours

Live Training

1 Year

Material Access

FREQUENTLY ASKED QUESTIONS

1. Is this course practical-oriented?+
- Yes. Most sessions are hands-on with deployment exercises.
2. Will Kubernetes be taught from scratch?+
- Yes. The course starts from container basics.
3. Do you cover real deployments?+
- Yes. Real application deployment scenarios are included.
4. Is cloud integration covered?+
- Yes. Kubernetes deployment on cloud platforms is discussed.

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