The fact is that artificial intelligence is not a discipline that you can teach yourself as many developers do. A survey conducted by Stack Overflow found that 86.7% of developers were, in fact, self-taught. However, that is for languages such as Java, Python and PHP, not the esoteric art of artificial intelligence.
It requires advanced degrees in computer science, often a doctorate. In a report, Paysa discovered that 35 percent of AI positions require a Ph.D. and 26 percent require a master's degree. Why? Because AI is a rapidly growing field and when you study in Ph.D. leveling and participating in academic projects, tend to be innovative, if they are not avant-garde, and that gives the student the experience he needs for the work environment.
In addition, it requires multiple disciplines, including Python, C ++, STL, Perl, Perforce and API such as OpenGL and PhysX. Also, because AI is doing important calculations, training in physics or some kind of life sciences is necessary.
Therefore, to be an effective and requested AI developer, you need many skills, not just one or two. Indeed it lists the 10 main skills you need to know for AI:Best engineering
1) Machine learning
2) Python
3) Statistics
4) Data science
5) Hadoop
6) Big Data
7) Java
8) Data mining
9) Spark
10) R
As you can see, that is a wide range of skills and none of them are learned overnight. According to The New York Times , there are fewer than 10,000 qualified AI specialists in the world. Element AI, a Montreal company that consults on machine learning systems, published a report earlier this year that there were 22,000 doctoral level computer scientists in the world who are capable of building artificial intelligence systems. Either way, that's too little for the demand reported by Machine Learning News.
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