Objective:
Give students a solid foundation in how AI works, how it learns, and how it creates creative content — using tools like Midjourney, RunwayML & more.
Why it matters:
Understanding how AI learns, creates content gives students an edge in academics, creativity, and future careers. This module helps them go beyond using AI — to truly understanding and building with it.
Week 1: Understanding AI & Machine Learning
Introduction to AI
What is AI? Where do we see it in daily life?
Machine Learning Basics
What is Machine Learning?
Types of ML: Supervised and Unsupervised
Pattern Recognition
How AI identifies faces, spam emails, drawings, and health conditions using patterns
AI in Self-Driving Cars
How autonomous vehicles use AI for vision, decision-making, and safety
Project Day – Build an image recognition model.
Week 2: Exploring Generative AI
What is Generative AI?
How is GenAI different from traditional AI?
Real-world examples and applications
AI Art and Images with Midjourney
How AI can create visuals from text prompts
AI Music, Audio, and Video
How AI can compose music, generate voices, and create videos
How Midjourney Works
Behind the scenes of text-to-image generation
Project Day – Create a short movie using multimodal GenAI tools
Week 3: Language and Chatbots
What is NLP (Natural Language Processing)?
How AI reads, understands, and processes human language
What is a Prompt? Why Does Wording Matter?
How prompts influence AI responses and creativity
How ChatGPT Works
Introduction to transformers and conversational AI
Project Day – Build a basic chatbot using no-code platforms
Week 4: AI Tools & No-Code App Building
AI Tools for Students
Explore popular AI tools that support creativity, learning, and productivity
Project Day –
Build a no-code app powered by Generative AI
Week 1: Introduction to AI and Machine Learning
Introduction to AI
Intro to AI Platforms such as ChatGPT and Claude
Understanding Data – Why it’s needed, how it’s gathered, and the world of Big Data
Basics of How AI Works – Data, Patterns, and Algorithms
Machine Learning – What it is, Types of ML: Supervised, Unsupervised, Reinforcement
Applications of AI – AI in Industries, Self-Driving Cars, Spam Detection, Netflix Recommendations
Project Day – Building a Supervised Machine Learning Model
Week 2: Generative AI (GenAI)
What is Generative AI?
How is GenAI Different from Traditional AI?
How GenAI is Built – Intro to AI-generated Art and Images
AI in Music and Audio
AI Video Generation and Voice Synthesis
How Midjourney Works
Project Day – Create a Short Movie Using Multimodal GenAI Tools
Week 3: NLP and ChatGPT
What is NLP (Natural Language Processing)?
Text Processing and Preprocessing
Syntax and Parsing
Semantic Analysis
What is a Prompt? Why Does Wording Matter?
How ChatGPT Works
What are Transformers?
Project Day – Build a Chatbot.
Week 4: AI Tools and Website Building
AI Tools for Students – Overview of Useful Tools for Learning and Creativity
Project Day – Build an AI Website
Objective:
Introduce students to Python programming and help them build logic like an AI developer — through hands-on coding.
Why it matters:
AI systems are built using code, and Python is the language behind it all. With this module, your child won’t just learn to code — they’ll learn to think like a machine.
Week 1: Python Basics and First Code
Introduction to Python & Print Statements
Variables and Data Types
Simple Math Operations
Working with Strings
Project: My Python ID Card
Week 2: Decision Making in Python
If-Else Statements
Comparison Operators
Nested Conditions
Taking Input from Users
Project: Quiz App
Week 3: Loops and Lists
While Loops and For Loops
Introduction to Lists
Looping Through Lists
Project: Fruit Basket Game
Week 4: Functions and Final Project
Basics of Functions
Functions with Parameters
Combining Input, Conditions, Loops, and Functions
Final Project: My First Smart Assistant
Week 1: Core Python Concepts & Control Flow
Introduction to Python & First Code
Data Types: Lists, Tuples, Sets
Operators and Expressions
Conditional Statements and Loops
Project: Number Guessing Game & To-Do List Manager
Week 2: Loops, Input, and Functions
Deep Dive into For and While Loops
Handling User Input
Defining and Using Functions
Integrating Input, Loops, and Conditions
Project: Quiz App
Week 3: Object-Oriented Programming
Math and Date Modules
Classes and Objects
Inheritance in Python
Polymorphism Basics
Project: Fruit Basket Game with OOP & Algorithms
Week 4: Algorithms and Smart Assistant
Basic Algorithms: Search & Sort
Complex Logic and Recursion
Real-World Problem Solving
Final Project: My First Smart Assistant
Two learning tracks: Grades 4–6 and Grades 7–10. No prior coding or AI experience required.
A 2 months program that runs 4 days a week, 90 mins per session — ideal for a balanced summer routine.
The 2 month summer program is only for $499 — Limited Time Offer! Upskill This Summer and Make It Count!
Every student builds a project demo and earns a certificate upon completion
Students currently in Grades 4 to 10 can enroll. The content is age-appropriate and grouped into three levels: Group A (Grades 4–6), Group B (Grades 7–10)
All sessions are conducted live online by experienced educators and tech mentors.
Yes, each module includes project-based learning to help students apply what they learn in real, creative ways.
No prior experience is required. The program is designed to start from the basics and build up based on grade level.
Yes, class recordings will be shared in case your child misses a session.
Yes, every student receives a digital certificate upon successful completion of each module.
No — this is an enrichment program designed to complement school learning and give students future-ready exposure. It offers accelerated learning for a world that’s changing rapidly — because in the age of AI, students need to go beyond textbooks and build skills that keep up with the future.
Sessions are held from 10:00 AM to 12:00 PM, Monday to Friday.