Master Python, ML & Shape the Future
Teens write real Python code, build neural networks, work with real-world datasets from Kaggle, and explore AI career pathways — from research scientist to robotics engineer.
Learning Outcomes
Write real Python code in Google Colab — variables, loops, functions, and libraries like NumPy and Pandas.
Build and train neural networks, understanding layers, weights, activation functions, and backpropagation.
Work with real-world datasets from Kaggle — clean, analyze, visualize, and draw insights from data.
Build face detection systems, image classifiers, and understand how self-driving cars "see."
Create intelligent chatbots and sentiment analyzers using natural language processing techniques.
Explore career paths in AI — from ML engineer to AI ethicist — through projects and a career quiz.
Curriculum
Each module includes Python coding labs, real datasets, collaborative projects, and portfolio-ready deliverables.
Teens explore the history of AI from Turing to GPT, understand current capabilities and limitations, and debate AI's impact on society.
"AI Through the Decades" Documentary — Teams create a short video or presentation tracing AI's evolution.
A hands-on introduction to Python programming specifically for AI applications. Teens learn variables, loops, functions, and work with libraries like NumPy.
"AI Quiz Master" — Teens code a Python trivia game that adapts difficulty based on player performance.
Teens implement ML algorithms from scratch — linear regression, decision trees, and k-nearest neighbors — using real datasets.
"Movie Recommender Engine" — Teens build a recommendation system using collaborative filtering on a real movie dataset.
The core of modern AI. Teens build neural networks, understand how they learn, and train image classifiers using TensorFlow.
"Face Detection System" — Teens build a real-time face detection application using OpenCV and a pre-trained model.
A rigorous exploration of AI ethics — algorithmic bias, deepfakes, surveillance, job displacement, and the responsibility of AI creators.
"Responsible AI White Paper" — Teens write and present a policy document on ethical AI deployment.
The grand finale. Teens choose a real-world problem, build an end-to-end AI solution, document it professionally, and present at the Innovators Showcase.
Student's Choice AI Project — A complete, portfolio-ready AI project solving a real problem. Past examples: plant disease detector, music genre classifier, sports analytics dashboard.
Future Ready
Wizi's curriculum maps to real career paths in AI and technology.
Build & deploy machine learning models
Analyze data to discover insights
Build intelligent physical machines
Ensure AI is fair and responsible
Create intelligent game characters
Use AI to improve medical outcomes
Join the next generation of AI creators. Start with 2 free modules today.