Basics

Deep learning

Machine learning using neural networks with many layers. The layers let the model build up from simple patterns to complex ones, which is why deep learning drives modern speech, image and language systems. It needs a lot of data and computing power.


Where this is taught

1What AI actually is
AI, machine learning, deep learning and generative AI, untangled: what each term means, what it doesn't, and why the hype and the fear both miss.
2A short history of AI
From Turing and the 1956 Dartmouth workshop through two AI winters, deep learning and the transformer to ChatGPT and agents: how we got here, and what it predicts.

Related terms

AGI (artificial general intelligence)

A hypothetical AI that could match or exceed people across most intellectual tasks. There is no agreed definition or t…

AI (artificial intelligence)

Computer systems that do tasks we would normally say need human intelligence, such as understanding language, recognis…

AI assistant

A general-purpose chat tool built on a large language model that can write, answer questions, analyse files and, incre…

Algorithm

A set of step-by-step instructions for solving a problem. In machine learning, the training algorithm is the recipe fo…

Chatbot

A program you talk to in a conversation. Older chatbots followed scripted decision trees; modern ones use large langua…

Computer vision

The field of AI that interprets images and video: reading text in photos, spotting defects on a production line, count…

Beyond the definition

Knowing the word is the easy part

A short assessment scores you across five skill areas and builds a path through 18 modules, skipping whatever you already know. Free, no card.

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