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In this article, we emphasize the importance of following the provided labs and video lectures in this course. While it might be tempting to set up your own local environment right away, our structured approach is designed to guide you step-by-step through the core concepts without distractions.
Focus on the course content as provided to maximize your learning efficiency and avoid unnecessary detours.
Following the labs and lectures in the intended order ensures a seamless learning experience, allowing you to build foundational skills before moving on to more advanced topics such as configuring your local environment. This method helps you optimize your study time and develop the necessary skills more effectively. Below is an example output from the command that lists all Docker images available on your system: 
$ docker images
REPOSITORY                       TAG     SIZE
redis                            latest  105MB
ubuntu                           latest  72.7MB
mysql                            latest  556MB
nginx                            latest  22.6MB
alpine                           alpine  5.6MB
nginx                            latest  133MB
postgres                         latest  314MB
kodekloud/simple-webapp-mysql    latest  96.6MB
kodekloud/simple-webapp          latest  84.8MB
This output showcases the various Docker images installed, which will become increasingly relevant as you progress through the labs. For now, please proceed with the lab that involves running the following command: 
$ docker run redis
This lab is specifically designed to build your foundational Docker skills. Additional resources and detailed guidance—such as instructions on setting up your local environment—will be provided later in the course. Thank you for choosing our course. We are excited to support you on your journey to mastering Docker and related technologies.

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