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Course catalog
The students who go furthest learn early to find a real problem worth solving, build something that works, and put it in front of someone it helps. Three levels, one path — start where your student is.
Stage 01 of 03
Where curiosity becomes capability.
Their first programmable robot — built, sensored, and reacting to the room around it. Students learn what every robot actually does (sense, decide, act) and write the simple logic that makes their build come alive. By week six they’re demoing a working sumo bot or maze-solver to family. The mental model they take with them — machines you can reason about, take apart, and improve — sits underneath every engineering course they’ll take after this.
The world’s most-used kid-coding platform, taught the way it’s actually used: students don’t just snap blocks — they ship a finished, published game to the global Scratch community that family and friends can actually play. Every programming concept here (sequence, loop, conditional, variable, event) transfers directly to every text-based language they’ll touch afterwards. The bigger win: a child who has put a working artifact on the internet knows they can do it again.
Their first real lines of Python — the same language used inside Google, NASA, and YouTube. No installs to wrestle with, no syntax to fear: students go from a one-line "hello, world" to a 60-line interactive program that does something they actually want to use. The moment a young student types print("hello") and watches the computer obey is one every parent will recognize the day it clicks.
An AI literacy course built around using AI well — not how it works under the hood. Students learn to make AI a study partner for hard reading, a brainstorm partner for original writing, and a creative collaborator for art and music. Equally important: they learn the cases where AI is wrong, how to spot it, and when to ignore it. By the end they treat AI as a tool and not an authority — a habit the next ten years of school will reward.
From an idea, to a 3D design, to a real object held in your hand. Students learn parametric thinking in a browser-based CAD tool used by 50M+ kids worldwide, then watch their files become physical objects on a 3D printer. They leave with three printed pieces, at least one that solves a problem at home — and the realization that the pipeline from "imagined" to "real" is shorter than they thought.
A full competition robotics season, the way real engineering teams run it. Students read the game manual, set strategy, build to spec, drive in matches, iterate after every loss, and document everything in a judges-ready engineering notebook. Competition robotics is one of the most respected extracurriculars on a college application — not for the trophies, but for what admissions officers know it teaches: deadlines, teamwork, composure, and the difference between "works in the garage" and "works under pressure."
Stage 02 of 03
Where making becomes a habit.
The bridge from "I followed a tutorial" to "I can engineer a solution." Students go beyond drag-and-drop into real coding, real control loops (the math that makes a robot move smoothly instead of jerking), real CAD-then-build discipline, and the engineering notebook habit that competition teams live by. By the end they can read another engineer’s robot code and explain what it’s doing.
Real Python, the way working developers use it. Variables, functions, files, APIs, libraries — by the end students publish a useful tool to GitHub with a README that lets other people install and use it. A GitHub presence built in middle or early high school becomes a real differentiator on college applications and tech-internship resumes — admissions officers and recruiters can see the work, not just read about it.
The single biggest shift in how software is built in 30 years: AI is now a coding partner. This course teaches students to code with AI — using tools like Claude Code, Cursor, and GitHub Copilot — the way every working software engineer now does. They learn when to trust AI output, when to push back, how to debug what the AI got wrong, and how to use AI to ship 10× more than they could alone. The students who graduate fluent in AI-paired coding now are the ones tech companies will hire five years from now.
Generative AI is already reshaping how creative work happens. This course teaches students to lead that change, not be left behind by it. Hands-on with image generation, video synthesis, voice cloning, music generation, and the prompt-engineering instinct that separates mediocre AI output from work people actually want to look at. Students ship a portfolio piece — a short film, music video, or brand campaign — AI-assisted but with their creative direction running the show.
Most students only know AI as a chat window. This course teaches them to own one. Students set up OpenClaw — an open-source AI agent toolkit — on their own computer, learn how persistent memory works, give the agent custom tools (browser, files, messaging), and watch it accomplish tasks no chatbot can. Beyond the technical chops they walk away with the most important AI literacy fact of this decade: a personal agent that remembers you and operates your tools is a fundamentally different thing than ChatGPT — and being on the building side of that shift is a career-shaping advantage.
Every Innovator project, every robotics season, every internship pitch lands harder when there’s a real video to show. This course teaches students to plan, shoot, and edit short videos that hold attention — story-first, not effects-first. By the end they ship a 60–90 second short film about something they genuinely care about, edited in DaVinci Resolve or CapCut, with audio that sounds clean and pacing that doesn’t lose the viewer.
Most "social media for teens" content is about chasing followers. This course is about something different: how to use social platforms to put real work in front of the people who’d benefit from seeing it — classmates, parents, future schools, future employers, partner organizations. Students learn to find their audience, develop an honest voice, ship a consistent feed over four weeks, and read the analytics to learn what worked. By the end they’ve launched a feed for a real project and grown it from zero with content people actually engage with.
Fusion 360 is the CAD tool engineers at Boeing, Ford, and Tesla use — and Autodesk gives it free to students. This course teaches parametric design (sketches that drive geometry), assemblies, design-for-print, and the iteration loop between CAD model and physical print. Students leave with a multi-part 3D-printed assembly that solves a real problem at home or school — and a CAD portfolio that translates directly to engineering internships and college engineering programs.
A full VEX V5 competition season, run the way real engineering teams run them. Strategy → CAD → fabricate → wire → program → drive → iterate after every match. Students learn to manage a season-long project, debug under deadline pressure, and document their work in the engineering notebook that wins judged awards. Competition robotics is one of the most credible signals on a tech-oriented college application — not for trophies, but for what it demonstrably teaches.
Stage 03 of 03
Where ideas meet real impact.
Ready to enroll?
Pick the course your student is curious about (or "not sure yet") and we’ll get back to you with next steps. Most students start in Explorer or Builder based on age and prior experience — we’ll help you find the right fit.
