One thing to point out: Try not to let your imagination run away, or get overconfident in what AI/ML can do. I worked for a major company on an ML project for

One thing to point out: Try not to let your imagination run away, or get overconfident in what AI/ML can do. I worked for a major company on an ML project for 2 years. By the time I left, I realized that: 1: The project I was working on has no improvement over ordinary statistical methods; yet the ability for people to understand the statistics (over the black box of ML) meant that the project had no tangible improvement over the processes we were trying to replace. 2: A lot of the ML I was working on was a solution in search of a problem. I personally found the ML system I was working on fascinating; but the overconfidence about what it can infer, and the way that non-developers thought ML could make magical inferences, frustrating. --- One other thing: Make sure you understand how to use databases, both SQL and non-SQL. In order to use ML effectively, you will need to be excellent at programming with large volumes of data in a performant manner.