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PIONEERSLAB

Integrate and Innovate

Future Prototypes (Spring)

A year’s skills come together in a polished, future-ready project.

Ages 13+

Apr 11th - Jun 20th, 2026

Saturdays, 12:30 PM - 2:00 PM

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PIONEERSLAB

Future Prototypes (Spring)

Integrate and Innovate

Future Prototypes is about integration — combining all the skills of the year into a first polished demo. Students learn how digital assets, coding structures, and user experience come together in a professional pipeline. They import their work into a real engine, use C# scripting to code interactions, and take their first step into AI by building a simple predictive model.

The emphasis is on prototyping, learning how to transform an idea into something testable, shareable, and future-ready. Teens also document their process, create trailers, and explain their decisions, developing communication and presentation skills alongside technical expertise.

By the end of Spring, they will have produced an integrated Unity demo and an AI experiment that demonstrates their readiness to enter specialization streams. This isn’t just a class project; it’s the first time they’ll feel like developers and innovators preparing for real careers.

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What makes it fun

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See their own assets running inside a Unity scene they coded. 


Add interactions, menus, and polish to create a professional feel


Experiment with AI — their first taste of “teaching a computer.”

What makes it enriching

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Connects multiple disciplines: coding, design, and AI, into one project


Prepares students for future pathways in game development or machine learning


Teaches communication by having students present trailers and write-ups

Learning outcomes

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Export a complete engine-ready Asset Pack from Blender with correct naming conventions, topology, and PBR materials


Code Unity interactions in C# using components, events, and scene management systems


Develop a predictive AI model in Python, implementing a linear regression classifier and visualizing results with data plots


Gain exposure to basic machine learning terminology: datasets, training, testing, and loss/error analysis


Document and present projects with trailers, one-page technical breakdowns, and professional vocabulary

Term & EXPO

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Integrated Unity demo with student-created assets


AI mini-project presentation with visual results


Portfolio artifacts shared with families

Winter Term

$450

450

Valid for 3 months

ENROLL HERE

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