AI & Machine Learning for Teens

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About Course

Artificial intelligence is no longer science fiction. It recommends your next video, finishes your sentences, beats world champions at games, and even helps doctors read medical scans. But behind the hype, what actually is AI, and how does a machine “learn” anything at all? This advanced course pulls back the curtain and gives you a real, honest understanding of how modern AI works, from the data it trains on to the neural networks that power tools like ChatGPT.

This is a hands-on course, not a lecture. You’ll train your own AI model in your browser using Google Teachable Machine, watch it succeed and fail, and discover bias and overfitting with your own eyes. You’ll build a gentle intuition for how models adjust themselves to get better, peek inside neural networks, and even read and run real Python machine-learning code. No PhD required, just curiosity.

We finish with the part that matters most: using AI responsibly. You’ll learn how bias sneaks into systems, why deepfakes and misinformation are a real problem, how to protect your privacy, and how to be honest about when you use AI. Then you’ll design your own responsible AI project idea, the same way real engineers plan products that help people.

By the end, you won’t just use AI, you’ll understand it well enough to question it, build with it, and imagine a future where you help shape it. Let’s get started.

What you’ll learn

  • Explain clearly how AI, machine learning, and deep learning differ and relate
  • Train your own image, sound, and pose classifier with Google Teachable Machine
  • Identify bias, overfitting, and bad data in machine learning systems
  • Describe how neural networks and large language models actually work
  • Read and run simple Python code that trains and uses a machine learning model
  • Evaluate AI claims and separate real capabilities from hype and misinformation
  • Spot deepfakes and protect your personal data when using AI tools
  • Design your own responsible, ethical AI project from idea to plan
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Course Content

What Is AI, Really?
Cut through the buzzwords to understand what artificial intelligence actually is, how it differs from machine learning and deep learning, and how to tell real capabilities from hype.

  • AI vs Machine Learning vs Deep Learning
  • AI Is Already All Around You
  • Narrow AI vs General AI
  • A Short History, and Separating Hype From Reality
  • Module 1 Quiz: What Is AI, Really?

How Machines Learn
Discover the raw material of machine learning, data, and meet the three main ways machines learn: supervised, unsupervised, and reinforcement learning.

Hands-On: Train Your Own Model
Use Google Teachable Machine to train a real image, sound, or pose classifier in your browser, then witness bias and overfitting with your own data.

Inside a Model (Gentle Intuition)
Build an intuition for what's happening inside a model: weights, the line of best fit, measuring error, and the training loop that nudges a model toward better answers.

Neural Networks & Deep Learning
Go inside neural networks, understand how image recognition works layer by layer, and learn what generative AI and large language models really do, including their limits.

A Taste of Code
Step gently into real machine learning code: meet Python and its ML tools, then read and run simple programs that train a model and use a pre-trained one.

AI Ethics & Your Future
Tackle the human side of AI, bias, privacy, deepfakes, and honest use, then explore careers and design your own responsible AI project as a capstone.

Final Assessment
Congratulations on reaching the end! You've gone from "what is AI, really?" all the way to training your own models, peering inside neural networks, reading real Python, and thinking hard about ethics and your future. This final assessment pulls together the big ideas from all seven modules. Read each question carefully and draw on everything you've learned and built. Score 70% or higher to earn your AI & Machine Learning badge. You've earned this, go show what you know!

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