This Introduction to AI for beginners is ideal for developers aspiring to be AI engineers, as well as for analytics managers, information architects, analytics professionals, and graduates looking to build a career in artificial intelligence or machine learning. Most AI-related roles require at least a bachelor's degree in a related field such as computer science, mathematics, engineering, or a related discipline. Having a degree in a related field provides a strong academic foundation.
A strong background in mathematics is crucial for AI. Topics like linear algebra, calculus, probability, and statistics are fundamental. You'll often use mathematical concepts to build and understand AI models. Prior knowledge of basic machine learning concepts is beneficial. Understanding supervised and unsupervised learning, classification, regression, and clustering can be a head start.