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A Practical guide to Docker containers - Arabic
Highest Rated
Rating: 4.8 out of 5(71 ratings)
1,643 students

A Practical guide to Docker containers - Arabic

Hands-on Docker from scratch — build, run, and manage containers with real-world DevOps practices
Created bySameh Ammar
Last updated 5/2026
Arabic

What you'll learn

  • Understand Docker fundamentals, including images, containers, volumes, networks, and the Docker architecture
  • Build efficient Docker images using Dockerfiles and best practices (layering, caching, multi-stage builds)
  • Run, manage, and debug containers using Docker CLI commands in real-world scenarios
  • Persist and manage application data using Docker volumes and bind mounts
  • Configure container networking, including port mapping, bridges, and container-to-container communication
  • Use Docker Compose to define and run multi-container applications
  • Optimize and secure Docker containers, including image size reduction and basic security practices
  • Containerize real applications (e.g., web apps, APIs, databases) using hands-on labs

Course content

5 sections24 lectures5h 22m total length
  • Why Docker Containers8:58
  • Containers and Resource Isolation9:57
  • Docker architecture quick start9:06
  • Docker Installation1:02
    1. Docker Installation
      For Ubuntu/Debian
      https://github.com/same7ammar/docker-for-developers-labs/blob/main/sessions/session-1/README.md#for-ubuntudebian
      For CentOS/RHEL/Fedora
      https://github.com/same7ammar/docker-for-developers-labs/blob/main/sessions/session-1/README.md#for-centosrhelfedora
      For Windows
      https://github.com/same7ammar/docker-for-developers-labs/blob/main/sessions/session-1/README.md#for-windows

  • Lab: Deploy N8N local using Docker container9:57

Requirements

  • Basic Linux commands (ls, cd, cat)
  • Familiarity with any programming language (Python, JavaScript, etc.)

Description

Docker has become a core skill for developers, DevOps engineers, and cloud professionals.
This course is a practical, hands-on guide to Docker containers, designed to help you confidently build, run, manage, and troubleshoot containerised applications in real-world environments.

Unlike theory-heavy courses, this course focuses on doing. You will work with Docker step by step, starting from the fundamentals and progressing toward production-ready container workflows used in DevOps and cloud-native platforms.

You’ll learn how Docker really works, how to write efficient Dockerfiles, manage container networking and storage, run multi-container applications using Docker Compose, and how to apply best practices for performance, security, and reliability.

The course is taught by a Lead Cloud & cloud-native security architect with hands-on experience in Kubernetes, AWS, OCI, and real production systems, ensuring everything you learn is grounded in real operational use cases, not just demos.

By the end of this course, you will have a strong Docker foundation and be fully prepared to move forward with Kubernetes, CI/CD pipelines, and cloud-native architectures.


How This Course Is Different

  • Hands-on labs and real examples

  • Beginner-friendly but production-aware

  • Focus on real-world DevOps workflows

  • Clear explanations without unnecessary theory

  • Designed as a solid foundation for Kubernetes


Who This Course Is For

  • Beginners who want to learn Docker from scratch

  • Developers who want consistent local and production environments

  • DevOps, Cloud, and Platform engineers

  • Students preparing for Kubernetes and cloud-native roles

  • Anyone who wants practical Docker skills, not just theory


Who this course is for:

  • Beginners who want to learn Docker from scratch with a clear, hands-on, practical approach
  • Software developers who want to containerize their applications and run them consistently across environments
  • DevOps and Cloud engineers looking to use Docker in real-world workflows and CI/CD pipelines
  • System administrators and SREs who want to understand, run, and troubleshoot containers in production-like setups