wunder beta🤖 How AI Works
AI isn't magic and it isn't a robot brain. It's pattern-finding math, at massive scale.
What you’ll learn
- Explain what AI and machine learning are and why training data matters.AI is software that finds patterns in data to perform tasks that usually need human intelligence. Machine learning learns from examples rather than hand-written rules, and today's AI is narrow, meaning it is skilled at specific tasks and shaped entirely by its training data.
- Describe how neural networks learn using weights, layers, and backpropagation.Neural networks are made of layered neurons connected by weights. They learn by comparing predictions to correct answers and using backpropagation to adjust the weights. Deep learning stacks many layers to capture complex patterns and powers most modern AI.
- Recognize how language models work, where AI appears in daily life, and how to use it wisely.Large language models predict likely text rather than looking up facts, so they can be confidently wrong. AI already runs recommendations, filters, and assistants, and it can absorb bias from data. Using AI wisely means verifying its output and understanding its limits.
Questions this course answers
How does machine learning differ from traditional programming?
Machine learning systems learn patterns from many examples rather than following rules a programmer writes by hand.
What is training data?
Training data is the set of examples a model learns from, which is why the quality of that data strongly shapes the model.
What does it mean that most AI today is narrow?
Narrow AI performs one specific kind of task well and is not capable outside that task, unlike a hypothetical general AI.
What are the small connected units in a neural network called?
A neural network is made of many small units called neurons, connected in layers, loosely inspired by the brain.
What does a neural network adjust as it learns?
Learning happens by adjusting the weights, the numbers on connections, to reduce the network's prediction error.
What is backpropagation used for?
Backpropagation sends the output error backward through the network to determine how to nudge each weight to reduce mistakes.
Grounded in trusted sources
- Amazon Web Services, What is a Neural Network?, https://aws.amazon.com/what-is/neural-network/
- Google for Developers, Machine Learning Crash Course: Neural networks, https://developers.google.com/machine-learning/crash-course/neural-networks
- Coursera, How Do Neural Networks Work? (2026 Guide), https://www.coursera.org/articles/how-do-neural-networks-work
- New York Institute of Technology, Neural Networks 101, https://online.nyit.edu/blog/neural-networks-101-understanding-the-basics-of-key-ai-technology
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