To start, the undergraduate Computer Science: Artificial Intelligence program is nearly as comprehensive as many graduate degrees, with courses in computational biology, speech recognition, cognition, and machine learning, among others.
In the field of artificial intelligence, the most difficult problems are informally known as AI-complete or AI-hard, implying that the difficulty of these computational problems, assuming intelligence is computational, is equivalent to that of solving the central artificial intelligence problem-making computers as intelligent as people, or strong AI. To call a problem AI-complete reflects an attitude that it would not be solved by a simple specific algorithm.

Machine learning is an application of Artificial Intelligence (AI) that provides systems with the ability to learn and improve from experience without being explicitly programmed. The more data we have, the better results we can expect.

To take your first steps down the artificial intelligence career path, hiring managers will likely require that you hold at least a bachelor's degree in mathematics and basic computer technology. However, for the most part, bachelor's degrees will only get you into entry-level positions.