The dilemma: with or without AI? with correction

Objective #

This lab aims to understand how you can get the most out of AI in a business setting.

CAUTION: we recommend using AI at work, but watch out for data leaks. Many employees use private data on public AI tools. We therefore recommend favoring on-premise solutions. Many vendors offer solutions that can be deployed internally.

1. The task

   For our Docker course (See the free course), we ask students to complete hands-on labs (See the lab). One of the labs is to build the configuration needed to deploy the following architecture: . For a beginner, this takes several hours. Can you provide a solution to deploy this in a few seconds with the help of AI?

   CAUTION: current AI tools can make mistakes. This warning is repeated across many products. On ChatGPT, for instance, you'll read: 'ChatGPT can make mistakes. Consider checking important information.' We therefore recommend verifying any generated information.

   Many AI solutions are available:

   • ChatGPT
   • Google Gemini
   • ...

   Since this diagram is public, you could for example do this on ChatGPT by uploading the architecture file along with a question:

Difficulty level : ●●●○○ (3/5)