10 weeks. 50 lessons.
48 real projects.
Every week builds on the last. Every lesson ends with something that works. By the end, your teen has a portfolio that most college students don’t have.
The Setup
Install Python, write your first lines of code, build a personal stats tracker. No experience needed — we start from zero.
Python Kickoff
Data structures, file I/O, error handling. Build a match stats analyzer that reads real data files and produces reports.
API Playmaker
Connect to live sports APIs, pull real data, build a Sports Data Hub. Your first app that talks to the internet.
The Analyst
Pandas, matplotlib, data visualization. Turn raw numbers into charts and insights. Build a full analytics dashboard.
ML Tryouts
Train your first machine learning model. Decision trees, random forests, model evaluation. Predict match outcomes with real data.
ML Deep Dive
Feature engineering, cross-validation, model comparison. Go beyond basics into the techniques that make models actually work.
AI APIs
Connect to OpenAI and other AI services. Build an AI Scout Report Generator that analyzes player data and writes natural-language reports.
The App
Build a real web application with Streamlit. Wire in your AI Scout Report tool, deploy it to the internet. A real app anyone can use.
The Agent
AI agents and automation. Build workflows that run on their own — pull data, analyze it, send reports. The same tech companies pay six figures for.
Championship Week
Capstone project. Build your portfolio. Present your best work. Learn to teach what you know. The course becomes your credential.
