Welcome to the "Hands-On Docker Tutorial for Beginners in 2024!" If you're new to Docker and eager to embark on a learning journey, this course is your gateway to mastering containerization. With a hands-on approach, you'll not only grasp the fundamentals of Docker but also immerse yourself in practical applications through guided exercises.

In this course, students will dive into the following key modules:

1. Introduction to Docker:

   • Gain a solid understanding of Docker and its significance in modern software development.

2. Docker Architecture:

   • Explore the architecture of Docker and learn how its components work together seamlessly.

3. Docker File, Docker Image, and Docker Container:

   • Master the concepts of Docker files, images, and containers, essential for effective containerization.

4. Docker Installation:

   • Step-by-step guidance on installing Docker on various platforms.

5. Docker Basic Commands:

   • Learn fundamental commands to navigate and interact with Docker efficiently.

6. Docker Installing Python Image:

   • Practical insights into installing Python images using Docker.

7. Running Container in Background:

   • Understand the process of running containers in the background for optimal workflow.

8. Creating Python Image:

   • Hands-on experience in creating Docker images for Python applications.

9. Creating Ubuntu Image:

   • Learn the process of creating Docker images for Ubuntu-based environments.

10. Creating Java Image Using Docker File:

    • Explore Docker file creation for Java applications and build custom images.

11. Push Image to Docker Hub:

    • Understand the importance of sharing Docker images and how to push them to Docker Hub.

12. Docker Compose:

    • Dive into the world of Docker Compose for orchestrating multi-container applications.

13. Docker Compose Installation:

    • Step-by-step guide on installing and configuring Docker Compose.

14. Create Basic Docker Compose YML File:

    • Hands-on exercises to create a basic Docker Compose YAML file for application deployment.

15. Creating Python Server:

    • Implement your knowledge by creating a Python server within a Docker container.

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