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For the best learning experience, we strongly recommend following the course’s labs and videos instead of experimenting with your own local environment right away. This approach minimizes distractions and ensures a clear, progressive learning path.
The labs and videos have been meticulously designed to equip you with the essential knowledge and skills you need. By working through these resources, you’ll build a solid foundation before setting up your own local development environment later in the course. For instance, when learning Docker, it’s best to start by following the provided commands rather than creating your own configurations prematurely. Consider the following example: 
$ docker images
REPOSITORY                        TAG       SIZE
redis                             latest    105MB
ubuntu                            latest    72.7MB
mysql                             latest    556MB
nginx                             latest    22.6MB
alpine                            latest    5.61MB
nginx                             latest    133MB
postgres                          latest    314MB
kodekloud/simple-webapp-mysql     latest    96.6MB
kodekloud/simple-webapp           latest    84.8MB
This output displays the Docker images available in our course repository. By studying these examples, you can better understand Docker’s functionality and image management. Next, observe the straightforward command to run a Docker container using the Redis image: 
$ docker run redis
By concentrating on these well-structured labs, you will be well-prepared for future exercises that will eventually allow you to experiment with your own setups. Thank you for choosing KodeKloud. We are dedicated to helping you achieve your learning goals and look forward to supporting you every step of the way.

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