Artificial Intelligence Specialists

There are many ways to learn more about AI. First read books such as Artificial Intelligence For Dummies, by John Mueller and Luca Massaron, and review the terms in AI glossaries (such as those at https://www.analyticsinsight.net/understanding-artificial-intelligence-a-comprehensive-glossary-of-terms-and-definitions). Additionally, the data analytics software company, SAS, provides an overview of AI—including how it works, how it is used in a variety of industries, and its pros and cons—at https://www.sas.com/en_us/insights/analytics/what-is-artificial-intelligence.html.

Take classes in AI and related subject areas via online learning platforms such as Udacity, Coursera, and edX. Udacity offers a free Introduction to Artificial Intelligence class that provides a good primer on the field. It also offers fee-based classes that explore AI and other topics—such as natural language processing, machine learning, and computer vision—in greater detail.

High school students can learn more about AI projects and machine learning by visiting the Science Buddies Web site, https://www.sciencebuddies.org/science-fair-projects/science-projects/artificial-intelligence/high-school.

One of the best ways to prepare for this career is to learn how to code. The following online learning platforms offer free or low-cost classes in coding: Codeacademy (https://www.codecademy.com), edX (https://www.edx.org), Coursera (https://www.coursera.org), and Khan Academy (https://www.khanacademy.org).

Participate in open data science, programming, and related competitions for high school, students, college students, and professionals. Here are two competitions to check out:

• Kaggle: https://www.kaggle.com
• American Statistical Association (ASA) DataFest: http://ww2.amstat.org/education/datafest