I have no degree on AI, or any sort of specialization, apart from studying by myself. But I do work with AI, using different approaches and techniques. /disclai

I have no degree on AI, or any sort of specialization, apart from studying by myself. But I do work with AI, using different approaches and techniques. /disclaimer My view of AI is that it is as complex as it is fascinating. It might seem easy to just download an artificial neural network library, feed data to it and then see what it spits back, but what data should you feed it? And you want it learn? Or should you use a genetic algorithm instead of neural networks? Those seem like easy questions to answer with a handful of math formulas, but the formulas will help you more on giving you a firmer assessment on the scope of the solution space, how to measure if it is really progressing, when the AI is in learning plateaus, etc. But the big reward is in how to creatively use AI. By "seeing" data in a new way you can ask different questions, and might get some interesting answers. I'm telling you all this because my view on how and when to use AI evolves constantly to this days, and I've been working with it for about 7 years. So start studying right now if you really like this field. Not only will the formal AI education become easier, but you will probably be able to get more from it if you get there with some experience.