High School
Take as many computer-related classes as possible in high school. Recommended courses include computer science, programming, software development, computer security, and data analytics/science. Mathematics classes are also important. Take algebra, trigonometry, calculus, linear algebra, discrete mathematics, statistics, and applied mathematics courses. Other useful classes include physics, engineering, foreign languages (especially if you plan to work in the field of natural language processing), business, and shop (if you plan to work in robotics).
Postsecondary Education
Artificial intelligence specialists have a variety of educational backgrounds, but most have a minimum of a bachelor’s degree in software design, computer programming, computer science, statistics, software engineering, data science, mathematics, or a related field. Many students combine study in one of the aforementioned fields with a minor, specialization, or certificate in AI, machine learning, machine intelligence, robotics and artificial intelligence, human-computer interaction design, human-computer interaction, or cognitive science. Some companies require applicants to have master’s and even PhDs in one of these fields. Companies are also hiring job applicants with doctoral degrees in epidemiology, physics, plant science, and materials science, among other majors, because they can utilize their knowledge to more effectively develop AI-enabled products. A person with such an educational background would need to augment their subject area expertise by taking AI-related classes or earning a certificate in artificial intelligence or a related area.
A few colleges and universities have launched degree programs in artificial intelligence. In 2018, Carnegie Mellon University in Pittsburgh, Pennsylvania, became the first U.S. school to offer an undergraduate degree in AI. Students in the program must complete classes in computer science, math and statistics, science and engineering, ethics, humanities and the arts, and AI electives (in decision making and robotics, machine learning, perception and language, and human and AI interaction clusters), as well as the following core courses in AI:
- Concepts in Artificial Intelligence
- Introduction to Artificial Intelligence: Representation and Problem Solving
- Introduction to Machine Learning
- Introduction to Natural Language Processing
- Computer Vision OR Natural Language Processing
Other U.S. schools that offer AI-related degrees include Indiana University at Bloomington (bachelor of science in intelligent systems engineering) and Northeastern University (master of professional studies in applied machine intelligence). The University of Limerick in Ireland offers a master of science in artificial intelligence, and the University of Edinburgh in the United Kingdom offers a bachelor of science in AI.
Certification
A growing number of colleges and universities offer certificate programs in AI, machine learning, human-computer interaction, cognitive science, machine intelligence, robotics and AI, and human-computer interaction design. Contact schools in your area to learn about available programs.
Other Education or Training
This field is constantly changing, so you will need to keep your skills up to date by taking continuing education classes and webinars throughout your career. These learning opportunities are offered by professional associations such as the Association for Advancing Automation (AAA), Association for the Advancement of Artificial Intelligence (AAAI), IEEE Computational Intelligence Society, and the International Society of Automation, as well as online learning platforms such as Coursera, edX, and Khan Academy. For example, the AAAI has offered a Symposium on Educational Advances in Artificial Intelligence at its Conference on Artificial Intelligence. The AAA has offered webinars such as The Intersection of AI, Collaborative Robots and Machine Vision; Deep Learning and 3D Vision in Identification; and Are We There Yet? The Collaboration Between Robots and Vision.
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