What are AI and Machine Learning?

Concept

Artificial Intelligence (AI) means teaching a computer tasks that usually need human intelligence. Machine Learning (ML) is one method of AI, where the computer learns by itself from data instead of memorizing rules. This learning process is called training, and what is produced by the learning is called a model. Generative AI is a kind of model that can create new text, images or code. AWS offers all three kinds: ready-made AI services, a platform to build your own models, and generative AI services.

Simple example

Show a child a thousand pictures of cats, and the child learns to recognize a new cat by itself — not by memorizing rules, but by seeing examples.

Why it’s needed

For many tasks it is impossible to write the rules by hand — such as recognizing faces or understanding language. A model that learns from data can do these.

Where it’s used

Chatbots, recognizing images, turning speech into text, product recommendations, catching fraud. Generative AI creates new text, images and code.

Azure equivalent

Azure AI Foundry / Azure Machine Learning

Remember

ML = learning from examples. Model = the “brain” created by learning.

Learn more

For details and the latest information, see the official documentation:

• What are AI and Machine Learning? — AWS official page ↗