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🚀 Preview Version – Official website launching soon.
Course catalog
A complete path with free resources
Twelve courses across three levels — Explorer, Builder, Innovator. Every course maps to free, vetted online resources so any family can self-study at their own pace.
A friendly first encounter with robotics. Students put together their first programmable robot, learn how sensors and motors talk to each other, and write the logic that makes their robot react to the world.
Programming concepts (sequence, loop, conditional, variable, event) by snapping blocks together to build games and stories in Scratch. The goal isn't syntax — it's thinking in code.
A gentle Python introduction for younger students. Variables, types, simple input/output, loops, conditionals, lists — nothing more. By the end students write a 30–60 line program that does something fun: a quiz, a math game, a story generator.
What AI is, where it shines, where it trips up. How to use AI to help with reading, creative writing, art, and music — and when not to use it. Healthy skepticism with hands-on demos.
How to model a 3D object in a browser, export it, and print it (or send it to a library/maker-space to print). The whole pipeline: idea → CAD → STL → slicer → printer → tangible thing.
Season-long competition robotics. Students design, build, and drive a tournament robot — learning to iterate under real deadlines and against real opponents.
Real engineering practice on a robotics platform — sensors and actuators, control loops, CAD-then-build, debugging, and the engineering notebook habit. Bridge from "drag-and-drop in Blocks" to "I can write the program in text and reason about why it works."
Mobile app development with block-based code. For older newcomers who never did Scratch, or Scratch graduates who want to ship a real Android app. Students build apps that use sensors, cameras, AI, and the web.
Real Python. Variables, control flow, data structures (list, dict, set), functions, files, simple OOP. By the end students write a 100-line program that does something real — pulls data, transforms it, writes a result.
How to build with LLMs and other AI tools — how to prompt them well, chain them, ground them with real data, and ship a small tool. Includes a serious AI ethics and safety thread.
Professional parametric CAD. Sketches that drive geometry, constraints, assemblies, design-for-print (overhangs, tolerances, supports), slicer settings that actually matter. The bridge from "shapes in a browser" to "things that fit other things."
What it takes to run a competition robotics season at the V5 / FTC / FRC level — strategy, CAD, fabrication, code (Python/Java/C++), driver practice, scouting, and the engineering notebook that wins judged awards.
Students who’ve done Explorer and Builder courses bring it all together by tackling a real problem — for their family, school, or community — with the tech they’ve learned.