The robots are coming. The robots are coming.

And they’re coming soon. And they’re coming to a store, a car, an office, a clinic, a school, a library, a museum, a kitchen, a living room near you.  If you want to capitalize on this inevitable movement, or if you’re just getting a little bored with your current career, you might want to consider switching to AI and deep machine learning.

According to many recruiters and tech pros, AI and machine learning top the list of the hottest growth areas in IT.  The wage-consulting company Paysa estimates that the salary for AI and deep learning engineers ranges from $97.9K to $229K, with a national average of $160K.

These high salaries – some say almost too high – are being driven by the usual market forces of demand and supply: massive amounts of work with few qualified workers.

On the off chance that some of these terms are a little fuzzy, think of AI as a broad category, inside of which is machine learning, inside of which is deep learning. Artificial Intelligence is what happens when we program computers to do tasks that would require intelligence in human beings. In machine learning, we provide computers with the ability to learn a task they have not been specifically programmed to do. Machine learning allows computers to change when exposed to new data.

Deep learning takes this process one step further. Based on artificial neural networks, deep learning uses algorithms to mimic what the brain d0es naturally. Deep learning allows computers to learn unsupervised from data that is unstructured or unlabeled. The more data the machine is given. The more it learns.

All of this requires massive amounts of data. The real breakthrough may be discovering how to build machine learning models when only a limited amount of data is available. Working on that problem could really set your career apart.