A focused programming track that develops text-based coding and introduces students to practical AI concepts. Students learn Python through useful mini applications before applying it to chatbots and beginner computer-vision projects.
Learning to code with a real programming language
Students get introduced to Python syntax, writing their first programs and understanding how code executes step by step.
Building the building blocks of programming
Students learn how variables store data and how loops and conditions control program flow, forming the core of software logic.
Applying code to real, useful programs
Students apply their Python skills to small applications like calculators and quizzes, seeing their code produce real results.
Understanding how AI differs from regular code
Students explore the difference between rule-based programming and AI, understanding how machines can learn from data.
Teaching computers to see and recognize
Students experiment with face detection and image recognition tools, gaining a practical introduction to computer vision.
Thinking like a programmer
Students strengthen logical thinking by breaking problems into steps and translating them into working Python code.
Every student takes home models they built — and understood — themselves.
A working calculator built from scratch using Python functions and logic.
A simple rule-based chatbot that responds to user questions.
A webcam-based demo that detects faces in real time using computer vision.
A project that classifies and labels images using basic AI tools.
A mini assistant that combines Python logic with simple AI responses.
The workstation for every coding session.
Where students write and run their code.
Powers the computer vision projects.
Captures live input for vision demos.
Used to train and test recognition demos.
Bridges Python projects with hardware.
By the end of this program, students can write structured Python programs and build simple AI-themed demonstrations.
Adds software intelligence to the learning pathway.
Prepares students for AI-enabled hardware projects.
Builds coding confidence for IoT dashboards and automation.
Give your child hands-on experience in coding, robotics, AI, electronics and IoT through engaging, project-based learning.
