In the future, meaning right now, we were supposed to have flying cars, empty hospitals, and computers that think. At least the latter, sort of, isn't too bad.
Artificial intelligence is widely misunderstood even by some who claim to be active in the field. Essentially, AI is just software that can modify itself, adjusting to new circumstances and changing its behavior. It is not magic but engineering.
Learning enough about it to be able to do useful work usually starts with a bachelor's degree comprising a specialization in AI or Machine Learning. Shorter, intensive courses that run for six months to a year are also available for postgraduates.
Theory and applications, including robotics, smart control systems, and autonomous vehicles, are generally presented side by side. These devices provide test beds for demonstrating algorithms for automatic learning, data analysis, process optimization, and decision-making.
Becoming competent at these tasks requires strong logic, mathematics, and programming skills. Conversely, being able to think creatively and take intuitive leaps is strongly associated with discovering new innovations. As always, good communication skills and some knowledge of the industry as a whole are definitely worth having.