Lesson 1 of 6
What is Artificial Intelligence?
Explanation
Artificial Intelligence (AI) is the broad idea of building software that performs tasks which normally need human judgement: recognizing a face, translating a sentence, recommending a song. Machine Learning (ML) is one way to build AI — instead of a programmer writing every rule by hand, the software learns patterns from examples. Not all AI is machine learning (some AI is just a big pile of hand-written rules), but almost all modern AI you interact with day to day is.
Visual explanation
Read this from left to right: what goes in, what happens, and what comes out.
The picture moves from a goal (AI) to one method (ML) to a useful result.
In plain language
AI is the big idea: software helps make decisions. ML is one tool that helps AI learn from examples.
Remember
AI is the goal; machine learning is one way to reach it.
What to do
Imagine a music app that suggests songs. Which approach can adapt from a listener’s history rather than following only fixed rules?
Choose the system that can learn a listener’s taste from examples of songs they played or skipped.