What they learn
In this stage, children pick up these strengths with their hands.
Manage code with GitHub like a real developer.
Read the truth beyond the numbers with data.
Build their own AI and dig into how language models like ChatGPT work.
Build code that runs on its own, and ship a graduation project.
Eight terms, deepening step by step
Each term is 11 weeks — it ends in one finished project, and in the final week children present what they made at an English Demo Day.
GitHub and real code
Data science
A machine-learning studio
Connected inventions
How language models work
Using AI while verifying it
Code that runs on its own
Their portfolio
English at this stage
The class runs entirely in English. All presentations and discussions are in English, and children explain their projects and field questions in English — young engineers who work in English, with presentation confidence that shines in school assessments and interviews.
How we handle AI
Now they use AI “critically” — but with a rule: “read it yourself, explain it line by line, and it only ships once it passes the tests.” AI may help with parts, but handing it a whole assignment is not allowed. Every project keeps an “AI-use log.” (Accounts are used only for ages 13+ and with a guardian’s consent.)
What they walk away with
A public-ready English engineering portfolio, a GitHub profile, an AI-agent project, and a graduation portfolio book.
Class details
Shall your child start with PIONEER?
Just tell us your child’s grade and interests and Adriana will personally say whether PIONEER is the right fit and where to start.
Request a consult