In this module, we will explore Docker from the ground up, covering its fundamental concepts, how it operates, and why it has become essential in modern development. We will also discuss its deployment benefits, examine Docker containers in detail, and compare Docker with traditional virtualization to understand its evolution. Finally, we will summarize the key takeaways to reinforce learning.

In this module, we will walk through the complete setup of a development environment for working with Docker. We will guide you through installing Visual Studio Code, setting up the Docker Desktop application, and running it to ensure a smooth development workflow. By the end, you’ll have everything in place to start working with Docker efficiently.

In this module, we will dive into hands-on Docker fundamentals, starting with running basic containers and progressing to more advanced features like volume management, data persistence, and customization. We will explore real-world scenarios, such as mounting volumes, sharing data between containers, and hosting a website using NGINX. By the end of this section, you'll have a solid practical understanding of Docker's core functionalities.

In this module, we will cover fundamental Linux concepts, which are crucial for working within the Docker ecosystem. We will explore the Linux file system, introduce essential commands for navigation and file management, and reinforce these concepts with a summary. This optional section is ideal for learners new to Linux or those looking to refresh their knowledge before diving deeper into Docker.

In this module, we will explore Dockerfiles and images, starting with the fundamentals of Dockerfile structure and directives. We will apply this knowledge by creating and dockerizing a simple RandomQuote web app, improving it with a web interface, and understanding the role of base images. Finally, we will cover the process of publishing Docker images to DockerHub, ensuring learners can share and distribute their containerized applications.

In this module, we will dive into Docker layers and caching, focusing on how they impact image builds and performance. We will compare unoptimized and optimized Dockerfiles to highlight caching benefits and explore best practices for building lean and efficient Docker images. By the end, you’ll have a clear understanding of how to leverage Docker layers for faster and more effective containerization.

In this module, we will explore Docker Compose, a powerful tool for defining and managing multi-container applications. We will set up and dockerize a 2-tier Emoji web app, showcasing how Docker Compose simplifies container orchestration. By the end of this section, you’ll have hands-on experience deploying and managing multi-container environments efficiently.

In this module, we will explore the practical application of Docker Compose by showcasing a fully functional 3-tier Quotes web app. We will also get hands-on experience running the Emoji 2-tier web app, reinforcing the concepts of containerized application deployment. By the end, you’ll have a deeper understanding of how to manage and scale multi-container applications efficiently.

In this module, we will dive into automating Docker workflows using CICD principles. We will set up a GitHub Actions pipeline, configure AWS environment secrets, and deploy a Dockerized application to AWS Elastic Beanstalk. By the end of this section, you will have a working CICD pipeline that streamlines deployments in a real-world DevOps environment.

In this final module, we will summarize the key takeaways from the course and provide guidance on where to go next. Whether you're looking to deepen your Docker expertise, explore Kubernetes, or integrate Docker into production workflows, this session will help you chart your learning and career path forward.