Learn Probability Theory and Statistical Methods. AI can do the heavy-lifting when it comes to the coding part, but interpreting data and testing hypotheses requires actual knowledge of Statistics. Making sense of large sets of data requires actually knowing what kind of stuff you're dealing with and how you can find meaningful relationships between what you study, such as in drug tests, quality assurance, and also studying samples of a human population for sociological or economic purposes. If lucky, you could even make new discoveries just by re-mixing and re-sampling data from other experiments that have been published before.

Also, learn to scrap data.

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Full homomorphic encryption.