A recorded MIT workshop that introduces AI to people with little or no background, covering machine vision, data preparation and reinforcement learning. It includes a hands-on activity where you train a simple algorithm yourself.
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 the basic ideas behind machine vision
See why preparing data matters for AI
Grasp how reinforcement learning works
Try training a simple algorithm hands-on
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
A single recorded workshop, not a full course
Recorded in 2021, before ChatGPT, so no generative AI content
No certificate
Length not stated by provider
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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