Your Child's Gateway to a Tech-Driven World

Empower your child with a 15-week AI & Machine Learning course designed for ages 11-14, building the skills to shape tomorrow's world.

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MS KL BN
50+ students enrolled this month
15-week comprehensive curriculum
4 interactive sessions weekly
Expert instructors & mentors
Ages 11-14 focused learning
Personalized 1-on-1 Live Sessions

Why This Course is Special

In today's world, technology is everywhere—from video games to helpful apps.
Learning tech skills early is like giving your child a superpower.

Industry Expert Sessions

Featuring industry experts. These experts will share insights on how AI is transforming their fields

Regular Parent-Teacher Interaction

Stay connected with regular parent-teacher interaction sessions, featuring industry experts. These experts will share insights on how AI is transforming their fields, engage parents, and allow students to showcase their learning achievements.

Regular Doubt Sessions

Clear all your queries with personalized doubt sessions after every module. Tougher problems are addressed, concepts are revised, and doubts are thoroughly resolved

Engaging Quizzes

Boost confidence with fun, well-targeted quizzes and tailor-made challenges that help kids remember key facts.

Exciting Projects

Hands-on projects let students apply their skills, fostering creativity and practical understanding.

Thrilling Competitions

Spark motivation with thrilling competitions that challenge kids to excel and showcase their talents.

Learning Certificates

Celebrate success with certificates for every amazing skill mastered, perfect for showcasing to the world.

Live Personalized Classes

Master concepts faster with one-on-one attention from highly qualified teachers trained to make learning effective and impactful.

Gamified Learning Experience

Make learning fun with interactive gamified tools. Students can earn points, badges, and rewards by completing quizzes and projects.

The 15-Week Adventure

Our comprehensive curriculum guides students through an exciting journey of AI and machine learning concepts, with hands-on projects and real-world applications.

Each week includes four fully customizable sessions tailored to your child's learning pace and interests.

1

Introduction to Artificial Intelligence and Machine Learning

Students begin their AI journey by exploring the basics of artificial intelligence and machine learning, understanding how computers can perform smart tasks and learn from examples.

These sessions can be customized to match your child's learning style, interests, and pace.

Session 1: Understanding Artificial Intelligence

Students learn what Artificial Intelligence (AI) is—computers doing smart things like recognizing patterns, making choices, or solving problems. They talk about AI in everyday life, like movie suggestions or chatbots, and do fun activities to see how AI works.

Vocabulary:
Artificial Intelligence (AI): When computers act smart and do tasks like recognizing things or guessing what might happen.

Session 2: Introduction to Machine Learning

Students discover machine learning, a part of AI where computers get better by learning from examples. They do hands-on activities, like teaching a virtual robot to spot fish by looking at things like color, and use a step-by-step method to understand how machines learn.

Vocabulary:
Machine Learning: When computers learn from examples to find patterns and make choices without being told exactly what to do.
Problem Solving Process: A clear way to tackle problems by finding the issue, picking data, training a computer, checking results, and thinking about how it affects people.

Session 3: Building Mental and Machine Learning Models

Students think about how they learn new things and compare it to how computers learn. They do a color activity to group things without labels, like computers do, and talk about how computers spot patterns using details.

Vocabulary:
Model: A computer program that makes choices or guesses based on information.
Unsupervised Learning: When a computer finds patterns in information without being given examples with answers.
Features: The details or traits a computer uses to make choices.

Session 4: Supervised and Unsupervised Learning

Students play a game called 'Green Glass Door' to learn how computers use examples with answers to find patterns. They also look at examples to understand the difference between learning with and without human help.

Vocabulary:
Supervised Learning: When a computer learns from examples with answers provided by people.
Training: Giving a computer example to help it get better at making guesses or choices.
Label: The answer or group a computer tries to figure out.
2

AI Innovations and Societal Impact

Students explore how AI is changing society through real-world applications and discuss the ethical considerations and potential unintended consequences of these technologies.

These sessions can be customized to match your child's learning style, interests, and pace.

Session 1: Exploring AI Applications

Students explore real-world AI tools, like Seeing AI, which helps people who can't see well. They look at how AI solves problems, what information it uses, and how it works with people, while talking about a step-by-step way to use AI for big challenges.

Vocabulary:
Seeing AI: An AI tool that helps people who can't see by describing things, reading text, or naming objects.

Session 2: Researching AI Innovations

Students research cool AI tools, looking at what problems they solve, what information they use, and how they affect people. They share what they find and talk about good things and unexpected problems, like fairness or new uses.

Vocabulary:
Innovation: Using AI to make new tools or improve how things work, making tasks easier or better.
Unintended Consequence: Surprising results from AI tools that can be good, bad, or lead to new ideas.

Session 3: Understanding AI Decision Models

Students learn how AI makes choices by looking at a shoe recommender app. They try a simple app that picks shoes randomly, talk about its problems, and suggest ways to make it better, learning how computers use information to guess.

Session 4: Improving Models with Data Patterns

Students improve their understanding of how AI makes choices by trying a better shoe recommender that uses a decision tree and survey answers. They look at patterns in the answers to suggest shoes and learn how details help make good guesses.

Vocabulary:
Decision Tree: A way for a computer to make choices by asking a series of questions based on details.
3

Classification Models in Machine Learning

Students dive into classification models, learning how AI can categorize data and apply these skills in practical, engaging activities.

These sessions can be customized to match your child's learning style, interests, and pace.

Session 1: Introduction to Classification

Students learn how computers sort things into groups, like separating fruits from vegetables. They do a fun activity to pick details like sweetness to sort foods, acting like a computer that groups things.

Vocabulary:
Categorical Data: Information that can be put into groups, like fruits or vegetables.
Classification: Sorting information into groups based on its details.

Session 2: Building and Testing Classification Models

Students do an activity where they plot foods on a graph using sweetness and ease of eating, then draw a line to separate fruits from vegetables. They test their sorting with different foods and talk about how to make it better.

Session 3: Exploring AI Lab for Classification

Students start using AI Lab, a tool where they pick details to teach a computer to sort shapes. They try different sets of information, spot patterns in details like color, and teach the computer to get good results, talking about how choosing details matters.

Vocabulary:
AI Lab: A tool for building and testing computer programs by picking details and teaching with information.
Accuracy: How often a computer's guesses are correct, shown as a percentage.

Session 4: Building Recommendation Models

Students use AI Lab to teach a computer to suggest things, like pizza toppings, based on survey answers. They look at information to find strong connections, teach the computer to get at least 80% correct, and talk about how human choices affect results.

Vocabulary:
Recommendation Model: A computer program that guesses what people might like based on patterns in information.

Download the Full 15 WeekCurriculum

Get the complete 15-week AI & Machine Learning course details.

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Artificial Intelligence Careers Imagine Your Child's Future

Artificial Intelligence (AI) is transforming industries and creating exciting career opportunities. At SparkNix, our AI & machine learning course for kids introduces them to the skills needed to thrive in this dynamic field. Here are three inspiring examples of how your child could shape the future with AI

Your child could become a Natural Language Processing Engineer working on tools like Microsoft Copilot. These engineers develop AI that understands and responds to human language, helping users write emails, create presentations, or even code by simply describing what they need. For instance, AI can suggest full sentences or fix grammar mistakes in real-time, making work faster and easier.

Microsoft

Imagine your child as a Robotics AI Engineer contributing to Amazon’s delivery systems. These engineers design AI that powers robots in warehouses or even delivery drones. The AI helps robots navigate crowded spaces, pick up packages accurately, or plan the fastest delivery routes, ensuring your orders arrive quickly and safely.

Amazon

Your child could grow up to be a Personalization Algorithm Engineer at Spotify. These engineers create AI that analyzes your music tastes and listening habits to curate perfect playlists. For example, if your child loves pop music, the AI learns this and recommends new songs or artists they’ll likely enjoy, making every listening session feel tailor-made.

Spotify

What Kids Can Achieve After Our Course

Our 15-week AI and Machine Learning course empowers kids with skills to thrive in a tech-driven world. Here’s what your child will gain and be able to do:

Fun & Engaging
Real-World Impact
Future-Ready Skills
Flexible & Personalized

Skills Developed

  • Problem-Solving: Break down complex challenges into simple steps, useful in coding and life.
  • Critical Thinking: Analyze and solve problems logically, applicable in any field.
  • Coding Basics: Learn programming with fun tools like Scratch.
  • Creativity: Design unique projects.
  • Soft Skills: Develop communication, presentation, and professional skills for success in any setting.

What Kids Can Do

  • Use AI Tools: Simplify tasks with AI, like organizing data.
  • Solve Real-World Problems: Apply AI to areas like healthcare.
  • Create AI Apps: Build smart AI apps.
  • Develop AI Tools and Products: Design innovative AI tools and projects, like language translators or recommendation systems.
  • Stand Out: Share exciting AI projects for school or future careers.

Future Opportunities

Opens doors to careers in AI, app development, and tech innovation, preparing kids to lead and create in a digital world.

Exciting Projects Your Child Will Build

Throughout the course, students will create amazing AI-powered applications that showcase their skills and creativity.

Pokémon Image Classifier

Pokémon Image Classifier

Train an AI to identify different Pokémon species from images.

Smart Classroom Assistant

Smart Classroom Assistant

Create an AI assistant that helps organize classroom activities.

Voice Tuner Game

Voice Tuner Game

Design a game that responds to voice commands and pitch.

Make Me Happy Character

Make Me Happy Character

Build an AI character that responds to sentiment in text input.

Catch the Ball Game

Catch the Ball Game

Build a game where AI predicts the trajectory of a moving ball.

Snap! Card Game

Snap! Card Game

Create a card game that recognizes and categorizes different cards.

School Library Recommender

School Library Recommender

Design an AI system that recommends books based on student preferences.

Tourist Info App

Tourist Info App

Create an app that recommends tourist destinations based on preferences.

Storyteller Generator

Storyteller Generator

Build an AI that creates unique stories based on user inputs.

What Parents Are Saying

Hear how SparkNix is preparing children for an AI-powered future by turning screen time into valuable learning experiences.

★★★★★

"My son used to spend hours playing video games with no clear direction. After joining SparkNix, he's not just consuming technology – he's creating it! Now he understands how AI works and is building his own projects. It's incredible to see him develop skills that will give him a real advantage in this fast-changing world."

Sarah Johnson
Parent of Alex, 12
★★★★★

"In today's AI-driven world, I wanted my daughter to be more than just a passive user of technology. SparkNix has given her the confidence to understand and work with AI systems. She's now thinking about problems in ways I never did at her age, and she's actually excited about her future career possibilities!"

Michael Chen
Parent of Lily, 13
★★★★★

"We were worried our son was wasting his potential on mindless screen time. SparkNix transformed that screen time into valuable learning. Now he's not just playing games – he's learning how to create them and understand the AI behind them. These are the skills that will keep him relevant in tomorrow's job market."

Priya Patel
Parent of Aiden, 11

Explore Our AI & ML Course

Watch this video to see how SparkNix brings AI and Machine Learning to life for kids!

Ready to Enroll?

Start your child's journey into the exciting world of AI and tech!

15
Week comprehensive curriculum
4
Customizable sessions weekly
Expert
Instructors & mentors
Enroll Now