Academic subject guide
35 of these 86 AI & Data courses are built on open research and tools those labs published. Students work out what the researchers asked, how they tested it, and what the result cannot prove, then turn one part of it into a question of their own, build it, and explain that work in a college application or interview. Compare online and Apgujeong in-person lessons, one-to-one or small group, by readiness.
CIT currently lists 86 listed courses connected to ai & data for children and teens. Families can learn online or in person in Apgujeong, Gangnam, Seoul, in one-to-one or small-group formats, subject to course availability.
A strong fit for students who want to understand, build, test, or responsibly use AI systems.
Readiness describes the material currently available, not a promised number of lessons.
Learning studio
If you enjoy pushing through hard questions about sodium and sugar in sauces or reformulating recipes, Conrad Challenge Nutrition & AI Project helps you turn that interest into a solution you can test, revise, and explain as your own.
View parent guideLearning studio
If questions about how DNA becomes protein or natural variation in living things keep making you ask why, Read Biology Data with Tables, Graphs, and AI lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLearning studio
If questions about DNA regulatory sequences or public genomics data keep making you ask why, Test a Research Question with Public Genomics Data lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLearning studio
If questions about gene activity data or differences between groups keep making you ask why, Compare and Explain Biology Data with Statistics lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLearning studio
If questions about biological pattern recognition or fair ways to test AI keep making you ask why, Build and Evaluate AI that Learns from Biology Data lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLearning studio
If questions about JavaScript web pages or biology data analysis keep making you ask why, School-Linked Open-Source Bio-Finance Research lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLearning studio
If questions about cell image analysis or protein structure AI keep making you ask why, Stanford, MIT & Columbia Open-Source Bio-Finance Research lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
If questions about sales versus profit or fair surveys and bar graphs keep making you ask why, Smart Money Makers: AI, Data & Mini Business lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLearning studio
If questions about user problems and interviews or screen design in Figma keep making you ask why, AI Product Builder: Planning, UX & Development lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
If questions about store profit and loss or demand forecasts keep making you ask why, AI Money Lab: Forecasting, Pricing & Data Products lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLearning studio
If questions about prices and exchange rates across countries or economic data analysis in Python keep making you ask why, Economics Data Science Portfolio lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLearning studio
If exploring AI pictures that change with words or picking pictures that fit a story makes you want to build instead of only watch or read, Generative AI Art Curator lets you make, test, and improve something of your own.
View parent guideLearning studio
If exploring AI that sorts photos or recognizing family faces makes you want to build instead of only watch or read, Build a Smile Doorbell That Recognizes Family Members lets you make, test, and improve something of your own.
View parent guideLearning studio
If exploring robots that react to sensors or if-then rules makes you want to build instead of only watch or read, Smart Systems & Human Control lets you make, test, and improve something of your own.
View parent guideLesson-ready
If questions about rules that move game characters or anonymous play logs keep making you ask why, AI + Games: Smart Character Maker lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
If questions about LEGO buildings that react to light or graphing sensor readings keep making you ask why, AI + LEGO: Responsive Building Maker lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
If questions about homemade four-beat rhythms or words for the mood of music keep making you ask why, AI + Music: Rhythm and Mood Maker lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
If questions about robots that stop before obstacles or line-following color sensors keep making you ask why, AI + Robotics: Sensor Explorers lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
If questions about success rates in practice logs or how graph axes shape impressions keep making you ask why, AI + Sports: Play Data Lab lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLearning studio
If questions about bias in AI classifiers or robots that follow rules keep making you ask why, AI Makers: Data, Decisions & Responsible Agents lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLearning studio
If questions about wish sentences for an AI agent or how a gift makes someone feel keep making you ask why, Emotion System Design: Grades 3-5 lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLearning studio
If questions about user flows across app screens or accuracy checks for AI responses keep making you ask why, Building and Launching AI Apps lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
If questions about correlation versus causation or misleading graph axes keep making you ask why, Data Science with Python lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
If questions about generative AI or cloud data analysis keep making you ask why, Google Cloud Study Jam: AI Badge Path lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLearning studio
If you enjoy pushing through hard questions about gesture recognition or why recognition models fail, Research Human-AI Interfaces for KSEF helps you turn that interest into a solution you can test, revise, and explain as your own.
View parent guideLearning studio
If you enjoy pushing through hard questions about AI model implementation or AI for scientific research, IAI2O Preparation helps you turn that interest into a solution you can test, revise, and explain as your own.
View parent guideLearning studio
If you enjoy pushing through hard questions about how neural networks learn or image classification errors, KOAI Preparation helps you turn that interest into a solution you can test, revise, and explain as your own.
View parent guideLesson-ready
If questions about safety checks for AI-written code or image classifier accuracy keep making you ask why, Practical AI Tools & Machine Learning Foundations lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLearning studio
If questions about robots as computer systems or encrypted wireless messages keep making you ask why, RoboMaster AI Vision: Safe Robot Control lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
If questions about enemy behavior in games or agents that learn from rewards keep making you ask why, Unity C# & AI Programming lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLearning studio
If you enjoy pushing through hard questions about math derivations by hand or model training under contest rules, USAAIO Preparation helps you turn that interest into a solution you can test, revise, and explain as your own.
View parent guideLesson-ready
If questions about failure modes of multi-agent systems or statistics for AI evaluation keep making you ask why, High School AI Assistants: Build, Test, and Explain lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
e706dd506b36
If questions about which player reaches open space first or the value of a pass keep making you ask why, Tracking Data: Calculate Open Passing Lanes lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
42c80c06b6b6
If questions about finding players in match video or telling teams apart by jersey color keep making you ask why, Computer Vision: Find Players and the Ball in Video lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
c1e17a0cc3e0
If questions about team shape on the pitch or defensive line height keep making you ask why, Player Tracking Data: Analyze Movement and Team Tactics lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
1c9583450672
If questions about rebuilding match data from video or jersey number recognition keep making you ask why, Open Football Video: Rebuild Player, Number, and Position Data lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
9591d6db9e8d
If questions about comparing player-tracking algorithms or ID switches in tracking keep making you ask why, Compare Player-Tracking Methods in Video lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
b0bc9f22dd77
If questions about where shots are taken from or pass networks keep making you ask why, Open Match Data: Build a Shot and Pass Analysis App lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
If questions about NavMesh pathfinding in Unity or reward design for learning agents keep making you ask why, AI + Games: Agent Studio lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
If questions about multi-sensor fusion or marker-based LEGO vision keep making you ask why, AI + LEGO: Intelligent Spatial Systems lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
If questions about expressed versus felt emotion in music or music dataset licensing keep making you ask why, AI + Music: Affective Computing Research lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
If questions about YOLO versus marker detection or multi-frame object tracking keep making you ask why, AI + Robotics: Vision and Autonomy Research lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
If questions about interpreting salary regression residuals or denominators in injury statistics keep making you ask why, AI + Sports: Data and Vision Research lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
If questions about AI product planning or the cost of model errors keep making you ask why, High School AI Product Planning and Testing lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLearning studio
If questions about software architecture for AI apps or fallback paths for LLM output keep making you ask why, High School AI Software: Step-by-Step Assistants lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLearning studio
If questions about measurements from app development or operational definitions of concepts keep making you ask why, AP Research lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
47a9c1848154
If questions about how robots keep their balance or motor force in robot joints keep making you ask why, Caltech AMBER: Robot Balance Experiments lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
2823c9ef3a35
If questions about humanoid robot safety or safe distances around people and obstacles keep making you ask why, Carnegie Mellon SPARK: Human-Shaped Robot Safety lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLearning studio
If questions about command-line work with Git or permissions for AI coding agents keep making you ask why, Codex Cli lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
3ba69b41d070
If questions about AI that predicts the next scene or prediction versus physics simulation keep making you ask why, Columbia AI: Predicting What Happens Next lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
54106c6357e3
If questions about motion captured on video or material stiffness keep making you ask why, Columbia PhysTwin: Turning Video into a Virtual Model lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
ae0900be3e45
If questions about caregiving robots or a robot arm's reach keep making you ask why, Cornell RCareWorld: Safe Assistive Robots lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLearning studio
If questions about emotional design in interactive media or AI agents directed by specs keep making you ask why, Emotion System Design: Grades 9-12 lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
0b81d7e8cc07
If questions about robot training data or dataset bias keep making you ask why, Georgia Tech MimicLabs: Creating Robot Practice Data lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
49315552e7f6
If questions about how robots locate themselves or uncertain sensor readings keep making you ask why, Georgia Tech: Robot Sensors and Position Finding lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
9ec5bab2bbec
If questions about drone obstacle avoidance or reinforcement learning keep making you ask why, Harvard AirLearning: Teaching Drones to Avoid Obstacles lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guidePlanned course
If you want to understand the important ideas behind mathematical modeling instead of memorizing answers, IB Mathematics: Applications and Interpretation connects statistical hypothesis testing to exam-ready reasoning and a record of how you fixed mistakes.
View parent guideLesson-ready
b07bab525ccb
If questions about computing robot joint angles or route planning around obstacles keep making you ask why, MIT Drake: Robot Motion and Route Planning lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
cdb8c90f402c
If questions about how robot arms grasp objects or reading objects with a camera keep making you ask why, MIT Robot Arms: See, Grasp, and Plan lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
26e9a5bbb5b9
If questions about balancing unstable robots or the physics rules behind motion keep making you ask why, MIT: How Unstable Robots Regain Balance lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
9cf80fb42687
If questions about the simulation-to-reality gap or tuning physics values keep making you ask why, Princeton AdaptSim: Closing the Simulation-to-Reality Gap lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
78980ee463b9
If questions about household robot chores or tracking object states keep making you ask why, Stanford BEHAVIOR-1K: Teaching Household Tasks lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
1dc7ebe4ca1f
If questions about crash risk at intersections or safety rules for self-driving cars keep making you ask why, Stanford CARLO: Safe Intersection Experiments lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
d309eaecc18a
If questions about learning from human demonstrations or demonstration quality keep making you ask why, Stanford robomimic: Learning Robot Actions from Demonstrations lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
5ce6643f3092
If questions about robot arm grasping or what a robot's cameras see keep making you ask why, Stanford robosuite: How Robot Arms Pick Up Objects lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
1fa2af7496be
If questions about robots that learn from little practice or helpful human demonstrations keep making you ask why, UC Berkeley SERL: Learning with Less Practice Data lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
62ff3a5896b4
If questions about training many robots at once or robot learning success rates keep making you ask why, UCSD ManiSkill: Teaching Many Simulated Robots at Once lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
c3e38133450b
If questions about mobile robots with arms or how floor friction changes motion keep making you ask why, UIUC LeKiwi: Build and Test a Simulated Robot lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
eeb361ef02bc
If questions about language-guided drones or maps built from camera views keep making you ask why, UPenn HALO: Finding Drone Targets from Language lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
If questions about NPC state machines or anonymous play telemetry keep making you ask why, AI + Games: Systems Builder lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
If questions about light-sensor calibration or combining several sensors keep making you ask why, AI + LEGO: Multi-Sensor Architecture Lab lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
If questions about measurable features of music or disagreement between emotion labels keep making you ask why, AI + Music: Data and Emotion Lab lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
If questions about grid-map path planning or marker-based object detection keep making you ask why, AI + Robotics: Autonomous Systems Lab lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
If questions about match event coordinate data or player salaries versus performance keep making you ask why, AI + Sports: Analysis and Pose Lab lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLearning studio
If questions about the mood a space creates or AI agents that build from a design table keep making you ask why, Emotion System Design: Grades 6-8 lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLearning studio
If questions about how Python code runs step by step or fallbacks for wrong AI answers keep making you ask why, Python AI Systems Builder lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
60998b5c3935
If questions about the forces on a wing or wingtip vortices keep making you ask why, Aerodynamic Analysis: Compare Wing Designs and Flight Performance lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
441418f2f4e1
If questions about spacecraft attitude dynamics or feedback control toward a target keep making you ask why, Make a Spacecraft Hold Its Own Heading lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
3e7b7fee0da4
If questions about electromagnetic wave reflection or interference patterns between waves keep making you ask why, Electromagnetic Waves: Test Reflection and Interference lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
0dfb3f1dd4f8
If questions about thrust that changes over time or chamber pressure inside a motor keep making you ask why, Rocket Motor Internals: Compare Pressure and Thrust lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
133b558de556
If questions about rocket stability or drag from fins and nose cones keep making you ask why, Fly a Rocket On Screen: Test the Physics of Flight lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
9faf13dd8f11
If questions about planetary rover mobility or wheel slip on loose ground keep making you ask why, Physics Models: Compare Moon and Mars Rover Motion lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
5bde04e274d5
If questions about propellant mixture ratios or gas acceleration in a nozzle keep making you ask why, Combustion Analysis: Compare Fuel Conditions and Propulsion Performance lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
9bd6ad3af8f9
If questions about weather effects on rocket trajectories or rocket motion in six degrees of freedom keep making you ask why, Python Flight Analysis: Compare Trajectory and Weather Uncertainty lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
2300d7fe3d7d
If questions about satellite orbits under gravity or small forces that disturb orbits keep making you ask why, Calculate Satellite Orbits and What Disturbs Them lets you investigate the question with evidence, then build and defend an extension of your own.
View parent guideLesson-ready
Ever wondered whether growth-mindset feedback changes the choice to retry after a mistake, why peer feedback gets so much attention in adolescence, or how the brain learns to revise a strategy? Social Brain Lab turns Stanford and Harvard research questions into privacy-safe behavioral experiments, data analysis, and a GitHub research record.
View parent guideClear the filters or choose another age group.
35 of these 86 AI & Data courses open a public code repository in class. Each is pinned to a single commit so students see the same version every lesson; open the pinned version on a card to read it.
metrica-sports/sample-data
e706dd506b36
roboflow/sports
42c80c06b6b6
SkillCorner/opendata
c1e17a0cc3e0
SoccerNet/sn-gamestate
1c9583450672
AtomScott/SportsLabKit
9591d6db9e8d
hudl/open-data
b0bc9f22dd77Caltech-AMBER/ambersim
47a9c1848154intelligent-control-lab/spark
2823c9ef3a35WangYixuan12/interactive_world_sim
3ba69b41d070Jianghanxiao/PhysTwin
54106c6357e3empriselab/RCareWorld
ae0900be3e45GaTech-RL2/mimiclabs
0b81d7e8cc07gtbook/robotics
49315552e7f6harvard-edge/AirLearning
9ec5bab2bbecRobotLocomotion/drake
b07bab525ccbRussTedrake/manipulation
cdb8c90f402cRussTedrake/underactuated
26e9a5bbb5b9irom-princeton/AdaptSim
9cf80fb42687StanfordVL/BEHAVIOR-1K
78980ee463b9Stanford-ILIAD/CARLO
1dc7ebe4ca1fARISE-Initiative/robomimic
d309eaecc18aARISE-Initiative/robosuite
5ce6643f3092rail-berkeley/serl
1fa2af7496bemani-skill/ManiSkill
62ff3a5896b4SIGRobotics-UIUC/LeKiwi-sim
c3e38133450bKumarRobotics/HALO
eeb361ef02bc
peterdsharpe/AeroSandbox
60998b5c3935
AVSLab/basilisk
441418f2f4e1
NanoComp/meep
3e7b7fee0da4
reilleya/openMotor
0dfb3f1dd4f8
openrocket/openrocket
133b558de556
projectchrono/chrono
9faf13dd8f11
sonofeft/RocketCEA
5bde04e274d5
RocketPy-Team/RocketPy
9bd6ad3af8f9
tudat-team/tudatpy
2300d7fe3d7dThe preview cards are the images GitHub generates for each repository. CIT downloaded them on 2026-09-02. CIT is not affiliated with the people who publish these repositories and designed the courses separately. Usage terms differ by repository; each card copies what was recorded at review.
The student can explain what university researchers asked, how they tested it, and what their evidence cannot prove. The student then identifies the question, decision, result, and limit that belong to their own extension. Useful evidence may include a documented dataset, baseline comparison, model evaluation, error analysis, and a clear record of the student's own decisions.
Use age as a starting point, then compare current knowledge, independence, and the work the student wants to sustain. This guide lists 86 listed options and their prerequisites.
Yes. CIT offers online and in-person lessons at its Apgujeong academy in Gangnam, Seoul, with one-to-one and small-group options. A free readiness consultation confirms availability for the selected course.
Depending on age and readiness, families can explore paths such as AI coding classes, machine learning for students, and data science projects. Only currently listed courses appear in the catalog.
The student should explain the researchers' question, why it matters, how it was tested, and what the evidence cannot prove. Then the student should extend one method through an independent question and document their decisions, result, and limits. Useful evidence may include a documented dataset, baseline comparison, model evaluation, error analysis, and a clear record of the student's own decisions. A university name tells a reader who published the original work; the student's own account is what carries the application.
CIT first reviews the student's goal, readiness, preferred location, class size, and current availability. The consultation and level check are free; the proposed schedule and tuition are explained before enrollment.