AI · Robotics · Coding · Grades 3–12

Real AI, Robotics, and Coding Programs for Students in Grades 3–12

Students learn by building real projects — from beginner courses to advanced mentorship for competitions, research, and college preparation.

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Not sure where your child should start? We'll recommend the best path based on age, experience, and goals.

ISEF medalists coached

Princeton · MIT · CMU among student admissions

30+ years industry & teaching experience

USACO · MIT LaunchX award-winning teams

Our students prepare for the top STEM & AI competitions

Regeneron ISEF
Presidential AI Challenge
MIT LaunchX
JSHS
Congressional App Challenge
Conrad Challenge
Samsung Solve for Tomorrow

Find Your Starting Point

Where does your child fit?

Pick what describes your child best. We'll take you to the right page — or recommend the path on a free 30-min call.

My child is

New to coding

Grades 3–5 · explore AI, coding, electronics, and robotics through hands-on projects.

Elementary Discovery My child wants

AI Software & Data Science

Grades 6–12 · machine learning, AI web apps, agents, and applied AI projects.

AI Software & Data Science Program My child wants

AI-Powered Robotics

Grades 6–12 · Arduino, Raspberry Pi, computer vision, and edge AI projects.

AI-Powered Robotics Program I'm

Not sure yet

30-minute video call · we evaluate your child's level and recommend a path.

Book a Free Assessment

How It Works

Learn → Build → Get Mentored → Present

Every AmeriDuo student moves through the same arc — from foundations to a real project they can present.

1 · Learn Python, data, and the core skills for AI or Robotics

2 · Build Apply skills to a real project — model, app, or robotic system

3 · Get Mentored Weekly mentor meetings + monthly expert review

4 · Present Ship a portfolio: code, report, poster, slides, competition entry

What Students Build

Real projects, not just classes

Every AmeriDuo student finishes with tangible work — code on GitHub, a working prototype, a research report, and a polished presentation.

AI Research Project

Train models on real-world data — health, environment, science — and produce a research-quality report and poster.

AI Web App

Build an AI-powered learning coach, chatbot, or interactive data dashboard that solves a real problem.

Robotics System

Design a sensor-driven or computer-vision robot using Arduino, Raspberry Pi, or TinyML edge AI.

Competition Portfolio

Prepare a complete submission — report, poster, slides, presentation — for ISEF, Presidential AI Challenge, MIT LaunchX, and more.

Want to see what your child could build?

Browse real student project examples across both tracks.

See Student Projects

Why Parents Choose AmeriDuo

A premium mentorship designed for outcomes

Project-Based Learning

Students build real systems they can present, document, and improve — not just complete worksheets.

Competition & Portfolio Focus

Projects become reports, posters, GitHub portfolios, and competition entries that strengthen college applications.

Expert Mentor Guidance

Masters and Ph.D. instructors with industry experience provide structured technical feedback every step.

Parent Visibility

Monthly progress updates and clear milestones — you always know what your child is building and why.

Meet Your Mentors

The people teaching your child

The same instructors who design our curriculum teach the classes and mentor the projects.

Founder · AI / CS Master Instructor

Mr. Chen

Dual Master's in CS & Engineering. 30 years of industry experience. Coached students to ISEF and Presidential AI Challenge, MIT LaunchX, USACO medals, and admissions to Princeton, MIT, and CMU.

Robotics & Embedded Systems

Mr. Zheng

M.S. in Electrical & Computer Engineering, MBA. Nearly 20 years in IoT, smart devices, and autonomous systems — including the DARPA Urban Challenge.

Computer Science & ACSL Coach

Dr. Guo

Ph.D. and former research scientist / CTO. Has guided students to multiple ACSL team and individual gold, silver, and bronze awards.

Real outcomes from AmeriDuo families

From first project to top-tier college admissions — what AmeriDuo students have built.

Student Success · 2014–2016

From a Project Idea to MIT LaunchX Global Champion & MIT/Princeton Admissions

Before AmeriDuo's program was fully formalized, Lily received the space, resources, and mentorship to turn her idea into a real hands-on project. That experience helped her build confidence, discipline, and problem-solving skills that later supported her admission to both MIT and Princeton.

— Parent of Lily
Project Mentorship Student

Project: LocaFoods
Competition: MIT LaunchX Global Competition, 2014 — 1st Place
Program: AmeriDuo Mentorship

MIT LaunchX 1st Place 2014 MIT 2016 Princeton 2016

Student Success · 2024

From No Coding Background to Carnegie Mellon CS & Google STEP Internship

Jennifer started learning with AmeriDuo in 9th grade with no programming background. After completing five courses, she built a strong foundation that helped her stand out in her school's Data Structures and Algorithms course and earn admission to CMU's Computer Science program.

— Parent of Jennifer
AmeriDuo Course Sequence, Grades 9 – 12

Courses: 5 AmeriDuo courses across grades 9–12, from Python Programming through Data Structures & Algorithms and Coding Interview prep
School: Excelled in school's Data Structures & Algorithms course
Internship: Google STEP program, freshman year

CMU CS 2024 Google STEP Intern 5 AmeriDuo Courses

Student Success · 2026

From Data Science Project to UPenn Wharton Admission

Xiaohan did not just learn data science — he completed a real environmental research project and published it on Figshare with a DOI. His work became a meaningful part of his college application and helped support his admission to UPenn Wharton.

— Parent of Xiaohan
2025 Data Science Bootcamp · 12th Grade

Project: Predicting Bacteria Levels in San Mateo's Parkside Aquatic Park
Publication: Figshare, with DOI
Program: 2025 Data Science Bootcamp, 12th Grade

Published Research Figshare DOI UPenn Wharton 2026

Flagship Program

8-Month AI & Robotics Project Mentorship

For motivated students in grades 8–12 who want to build a serious AI, Data Science, or AI-Robotics project for competitions, research portfolios, and college applications.

Personal project roadmap and weekly mentor meetings
Monthly expert review of model, code, and methodology
GitHub portfolio, final report, poster, and slide deck
Presentation coaching and competition submission support

Book a Free Assessment

Example Project Ideas

What students build with AmeriDuo

Real project examples from across our AI & Data Science and AI-Robotics tracks.

Rocket telemetry waveforms with anomalies highlighted

AI & Data Science

Rocket Telemetry Anomaly Detection

Time-series ML model that flags abnormal launch behavior from sensor data — built for ISEF.

Grade 11 · Example Project Idea

Satellite view of fragmented wildlife habitat with analysis overlays

AI & Data Science

Wildlife Habitat Fragmentation Analysis

Geospatial data analysis using Python and satellite imagery to study habitat loss patterns.

Grade 10 · Example Project Idea

ESP32 sensor module monitoring kitchen air quality

AI-Robotics

Smart Kitchen Air Quality Monitor

ESP32-based sensor system with TinyML model for detecting indoor air quality patterns in real time.

Grade 9 · Example Project Idea

See more student projects

Ready for a personalized recommendation?

A free 30-minute call. We'll review your child's interests and recommend the right path.

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Common questions from parents

How is AmeriDuo different from other coding classes?

Most coding classes teach syntax and stop there. AmeriDuo guides students from learning fundamentals to building a real, documented project they can submit to competitions or include in college applications. We focus on outcomes, not just instruction hours.

What if my child has no programming experience?

That's fine. We start every student with the right foundation — Python, data thinking, and project skills — before moving to advanced AI or robotics work. The Project Readiness Assessment helps us match your child to the correct starting point.

How does the 8-month mentorship work?

Students work with an assigned mentor on a personal project over eight months. Each month has a clear milestone — topic selection, prototype, validation, final deliverables. Recorded lessons cover the technical material; weekly meetings provide guidance; monthly reviews ensure quality.

What does it cost?

Mentorship pricing depends on the track and scope of the project. After your Project Readiness Assessment we'll share a tailored quote. Foundation courses use standard per-course pricing through our registration portal.

How do I know which track is right?

That's exactly what the Project Readiness Assessment is for. We evaluate your child's interests, background, and goals, then recommend the AI & Data Science track, the AI-Powered Robotics track, or a foundation course to start with.

Find the right path for your child

A free 30-minute call. We'll evaluate your child's background, interests, and goals — then recommend the best learning path.

Book a Free Assessment