← Back to the catalogueDocker
Beginner to Advanced
Level
Classroom . Online . Hybrid
Mode
Course overview
A container fundamentals course on building, running and shipping application images with Docker. Learners containerise real applications rather than samples: a web service, a database-backed API and a background worker, learning image layering, caching, multi-stage builds, volumes, networks and registries along the way.
The course closes with a Compose stack and a hardened, slim production image.
Who it is for
- Developers packaging applications
- System administrators and DevOps engineers
- QA engineers building test environments
- Anyone moving to Kubernetes next
Prerequisites
Basic Linux command line and familiarity with one application stack.
How it runs
Learn → Practise → Build → Experience → Demonstrate, ending in a capstone. Delivered by practitioners from the engineering bench, in Madurai, Coimbatore and online.
Final project
Built, Scanned and Published Image Set
Programme sheet
The printed sheet carries the full module breakdown, labs, project work and certification path. Fees, dates and formats for the next intake are confirmed by the education team on enquiry.
Learning outcomes
01
Explain the difference between images, containers and layers.
02
Write efficient, cache-friendly Dockerfiles.
03
Reduce image size with multi-stage builds.
04
Persist data with volumes and bind mounts.
05
Connect containers over user-defined networks.
06
Run multi-service stacks with Compose.
07
Push, tag and scan images in a registry.
Module structure
8 modulesModule 01
Containers and Architecture
Virtualisation vs containers . Docker engine . Images and layers . Registries . Docker Desktop and CLI
Module 02
Running Containers
run, exec, logs, inspect . Ports . Environment variables . Restart policies . Resource limits
Lab
Run and Inspect Services
Dockerfile instructions . Build context . Layer caching . .dockerignore . Tags . Build arguments
Lab
Containerise an Application
Module 04
Multi-Stage and Slim Images
Multi-stage builds . Dependency pruning . Health checks . Distroless and Alpine bases . Non-root users
Lab
Production Image Under 100 Mb
Module 05
Data and Volumes
Volumes . tmpfs . Permissions . Bind mounts . Backup and restore . Database containers
Bridge, host and none . DNS between containers . Overlay basics . User-defined networks . Published ports
Lab
API and Database on One Network
Profiles . Scaling . Services and dependencies . Environment files . Override files
Module 08
Registries and Security
Docker Hub . Private registries . Image signing . Vulnerability scanning . Secrets handling
Assessment & certification
Module assignments and labs
25%
Final project and review
40%
Learners who complete all modules, submit the final project and clear the review receive a course completion certificate from Kaizen Infinities Private Limited. Project work is documented for the learner's portfolio, and interview preparation is included in the closing sessions.
Career outcomes . Roles this programme prepares for
DevOps EngineerCloud EngineerBackend DeveloperBuild and Release EngineerPlatform Engineer
