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Soft Skills and Thinking

Artificial Intelligence

No black box. Your child trains, tests, and improves real AI models, then builds a chatbot, an image classifier, and more. For Grade 7 to 10.

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What is Artificial Intelligence?

Kids build real AI: training models, testing bias, no black boxes.

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Not Magic, Just Data

Your child learns exactly how AI makes decisions, using real, kid-friendly tools, not a mystery box.

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Ethics Built In From Day One

Fairness and bias are covered early, so your child understands what AI gets wrong, not just what it gets right.

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Eight Real AI Projects

From a Rock-Paper-Scissors AI to a working chatbot, every project is trained and tested by your child, not pre-built.

“AI stops being a mystery once your child has trained one themselves.”

What Your Child Will Build

Every project is built live in class — not copied from a tutorial.

Project 1

Rock-Paper-Scissors AI

A game where the computer learns to predict the player's next move

Project 2

Image Classifier

A model trained to recognize and sort pictures (e.g. cats vs dogs)

Project 3

Teachable Machine App

A custom AI trained using the child's own webcam images or sounds

Project 4

Chatbot Buddy

A simple rule-based and AI-enhanced chatbot that holds a conversation

Project 5

Emotion Detector

A program that reads facial expressions and guesses the emotion

Project 6

Recommendation Engine

A mini "Netflix-style" system that suggests movies or games based on preferences

Project 7

AI Art Generator

Creating original artwork and patterns using generative AI tools

Project 8

Final AI Project

An original AI application combining data, training, and prediction, designed solo

How the Course Works

A clear learning path from first concept to final project.

Day 1 - 8

Introduction to AI

What AI actually is, where it shows up daily, and the ethics behind it.

Day 9 - 15

Training Your First AI Model

Hands-on training using Teachable Machine, with images, sound, and gestures.

Day 16 - 23

Machine Learning with Python

Moving from no-code tools into real Python-based prediction models.

Day 24 - 29

Computer Vision

Teaching a computer to "see," from face detection to a working emotion detector.

Day 30 - 35

AI That Talks, NLP and Chatbots

Building a chatbot that holds a conversation and has a personality.

Day 36 - 41

Generative AI and Recommendations

AI-generated art and stories, plus how recommendation systems work.

Day 42 - 45

Final Project and Showcase

Planning, building, and presenting an original AI project solo.

Skills They Walk Away With

These are the same skills that power every app on your phone.

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AI Literacy

Understanding what AI is, how it works, and where it's used

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Data Thinking

Recognizing how data trains and shapes AI decisions

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Critical Thinking

Questioning AI accuracy, fairness, and bias

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Problem-Solving

Training, testing, and improving a model through trial and error

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Creativity

Using AI as a tool to generate art, stories, and ideas

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Ethical Awareness

Understanding responsible and fair use of AI

Meet Your Instructor

Our instructors are specialists who chose to teach children.

Bhuwan Basnet

Lead Instructor: Robotics and AI

Robotics

Bhuwan Basnet holds a Bachelor's degree in Electronics Engineering and has 1.5 years of experience teaching kids to build real projects. He specializes in Robotics and AI, helping students learn through hands-on, project-based activities where they design, build, and program their own robots. His practical teaching approach encourages creativity, logical thinking, and confidence while enabling students to bring their robotics ideas to life in a fun and supportive learning environment.

Course Details

Everything you need to know. In one place.

Duration45 days

Classes per day1 class

Class length60 minutes

Total classes45 classes

FormatLive online and in-person (Kathmandu)

Platform / toolsTeachable Machine, Scratch AI extensions, Python (scikit-learn), web-based AI tools

Device neededLaptop or desktop with webcam and stable internet

Batch sizeMaximum 8 students

CertificateYCA AI Completion Certificate

Questions Parents Ask

This is YCA's course for children ready to learn how AI actually works, not just use it, designed for Grade 7 to 10. Your child trains real AI models using kid-friendly tools, then moves into Python-based machine learning, computer vision, chatbots, and generative AI.

Some Python background helps for the machine learning modules, but it isn't required. The course opens with visual, no-code tools like Teachable Machine before introducing Python in Module 3, with a quick refresher built in for anyone who needs it.

Yes. Module 1 includes a kid-friendly introduction to AI ethics and bias, and Ethical Awareness is one of the six core skills the course is built around. Your child learns to question an AI's accuracy and fairness, not just trust it.

The course runs 45 days of live classes, one class a day at 60 minutes each, 45 classes in total, moving through 7 modules from AI basics through to an independent final project.

Eight real projects across the course: a Rock-Paper-Scissors AI, an image classifier, a custom Teachable Machine app, a chatbot, an emotion detector, a movie recommendation engine, AI-generated art, and a final AI project your child designs independently.