A free, short course from the non-profit Khan Academy on how generative AI works, its risks and how to use it responsibly, built around teaching and learning. It includes Code.org videos explaining AI basics.
A plain-language introduction to what AI is, how it solves problems and how machine learning and neural networks work, with no programming or heavy maths. It closes by looking at what AI means for jobs and society. One of the most widely taken free AI courses in the world.
Objectives
Understand in simple terms how AI and large language models work
Recognise the benefits and risks of generative AI
Prepare to use AI responsibly in teaching or training
Help others build basic AI literacy
Explain what AI is and is not, and how it relates to nearby fields
Describe how AI searches for solutions and handles uncertainty using probability
Tell the main types of machine learning apart and give examples
Outline how neural networks are built and what they are good at
Judge claims about AI in the news more critically
Discuss the likely social and workplace effects of AI
Things to know
Aimed at educators, so less relevant for general business roles
Provider describes it as a work in progress
No stated duration and no certificate confirmed for this course
Unit list confirmed from Khan Academy search listings as the page renders with JavaScript
Provider estimates 4 to 8 hours per part across 6 parts, so total time is about 24 to 48 hours
Content predates much of the generative AI wave, so it covers foundations rather than tools like ChatGPT
ECTS credits only available through the Open University of the University of Helsinki
Free account needed to track progress and get the certificate
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