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 ends in one finished project, and at the end children show what they made — in English.
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
Most of the class runs in English (the teacher speaks roughly 90% English). All presentations and discussions are in English, and children can explain their projects and answer questions in English — building 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.
* Makerlab does not guarantee exam or competition results. For olympiad-style contests (e.g. the Informatics Olympiad), we recommend pairing with a specialist academy.
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.
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