Protect school academics and current official rules first, then build AI work the student can question, code, test, and explain.
Protect IB, AP, and IGCSE outcomes first, then extend course knowledge into a distinct, student-owned project with new evidence.
Learn systematically, from AI literacy to machine learning projects and data analysis.
Use pinned public projects from MIT, Stanford, CMU, and other labs, plus RoboMaster, to test perception, planning, control, and robot learning.
Move from image collection and box labels to YOLO training, evaluation, and an object-only webcam demo at the right depth.
AI fundamentals and hands-on practice. Digital literacy education for the ChatGPT era.
Grades 3-5 connect historical evidence, data, memory, brain signals, and fair AI through 12 Scratch museum missions.
Read how YouTube and games move emotion, measure it in numbers, then design it. The same three subjects from grade 3 up, in Scratch, App Inventor, and Python. Student emotion is never measured by machine.
Vibe coding vs. agentic engineering. The engineering mindset to direct and verify agents. One of CIT's two pillars, alongside AI+X.
Current official AP Computer Science A and Principles scope, released-question analysis, and one-on-one code review. Score outcomes are not guaranteed.
IB CS SL/HL and IGCSE CS preparation, including the concepts, development, and testing skills students need to produce their own assessed work.
English-language coding and CS classes tailored for international school students at SIS, SFS, YISS, KIS, and more.
Evidence for AI projects the student can question, code, test, and explain. Each school or application route decides what may be submitted.
Sustained, verifiable activities aligned with the student's courses, intended major, available time, and application route.
Students build and explain their own SDG 3 web app, AI prototype, and Tech Design record with coaching. CIT does not author or submit student work.
Eleven public courses organize KOAI-related Python, mathematics, and machine-learning study into elementary introduction (E), foundation (F), advanced (A), middle-school comprehensive (M), and competition-focus (C) stages. C1-C3 describe the concluded 2026 high-school selection format; the next season's stages, eligibility, and topics require a fresh KITPA official notice.
An 11-course roadmap, annual schedule, and recommended paths by track, all at a glance.
Step-by-step preparation for the USAAIO pathway. KOAI and USAAIO can share Python, math, machine-learning, PyTorch, and computer-vision foundations, but the official materials publish no fixed overlap percentage. USAAIO-only U0-U4 (eligibility confirmation, Math+Colab, Round 1, Round 2, and Camp) is tailored from the current syllabus and student diagnosis.
Shared foundation (F1·F2·A1·A2) + USAAIO-only U0-U4 · recommended paths by track at a glance.
Learning support for the International AI Innovation Olympiad (IAI²O) across three tracks: AIIC, AI4SCI, and AI4BIZ. The 2026 preliminary and final registration windows are closed, and the official homepage lists an in-person Global Final for September 25-27. The September 25 MIT Admissions Information Session at the MIT Welcome Center is a separate event; it does not establish the venue, organizer, sponsorship, or affiliation of the full final. Recheck the next cycle's eligibility, format, and deliverables in a new official notice.
Shared foundation (F1·F2·A1·A2) + IAI²O-only I0-I4 · recommended paths for 3 tracks (AIIC·AI4SCI·AI4BIZ) at a glance.
In a consultation, we map out your child's current level and goals together, so the right starting point becomes clear.
"The director and teacher did such a great job with the consultation that my child said they wanted to take the Python course too."
A free, browser-based interactive Python course: no install. Go from rule-based coding to data and statistics, and build a real foundation for understanding AI.