AI Unlocked: Learn and Build Neural Networks | Saturday 9-10 AM | Grades 7-10

Introduction to AI: From Neurons to Networks
Discover what AI is, how it works, and why it matters—then build one yourself.
This beginner-friendly course blends brain-inspired intuition with practical coding. You’ll explore real-world applications across fields, the ethics and risks of AI, and core learning paradigms. Then you’ll code and train a simple artificial neural network in Python to make a fun, relatable decision: Should you go to that music concert?
What you’ll learn
The big picture: What is AI? Where it’s used today across different fields.
Brain → neuron → artificial neuron: intuitive analogies that make math approachable.
Learning fundamentals: supervised vs. unsupervised learning, training, evaluation, overfitting.
Neural networks: layers, activation functions, loss, optimization—demystified.
Robotics, general intelligence, evolution of AI, and emerging capabilities.
Ethics & safety: responsible AI, bias, privacy, and potential threats.
Hands-on project
Build and train your own neural network in Python to decide on a music concert using simple inputs (e.g., ticket price, date, venue distance, artist rating).
Outcomes
Clear understanding of AI concepts and terminology
Practical experience training and evaluating a basic model
A thoughtful perspective on AI’s impact, ethics, and future
No prior AI experience required; basic Python familiarity is helpful.