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[muniyaakter]

If you want to work in the world of AI, you have to understand data perfectly. But even more important is machine learning , the underlying structure of every single artificial intelligence that allows it to update itself and learn from its mistakes. One of the most important things to understand is that before you study all these things, you need to have a clear idea of ​​what job you would like to do in the AI ​​world . Because the world of AI is so vast that the skills you need to on what kind of job you want to do.

Want to apply the power of AI to your business? Then you france consumer mobile number list probably need to study AI Marketing . Do you want to be the person who discusses AI and tries to regulate its negative impact on the world? Then you need to study the principles of AI ethics , philosophy, or psychology . Want to build your own AI with a team? Then you will need skills in machine learning, data science, and programming. The most important question here is not what skills you want to study, but what kind of AI professional you want to become? Once you have an answer, then you will also know what to study… Where to Study Artificial Intelligence: The Main Universities in Italy Even if our country is always portrayed as the one “behind” compared to others, know that as far as AI studies are concerned there are already dozens of universities throughout Italy that offer courses in artificial intelligence .

First, Bocconi has decided to direct the future of artificial intelligence in Italy by creating a master's degree program in AI. As they say on their website, with this path their goal is “ To train students capable of developing systems and software with AI capabilities and of mastering all the most advanced machine learning applications ”. Luca Trevisan , professor of the master's degree in AI, states, always on their website, what makes this path unique: “ Because these technologies are evolving so quickly, the course also includes a strong quantitative foundation in mathematics and computer science to enable students to address new aspects of the field and understand and drive change.