USA AI Olympiad Free Level Test

Contextual Diagnostic

Only the current step is emphasized

The page guides the student from profile details to grade-based questions, then reveals the result roadmap and shortened core-hours timeline.

1Student profileRequired details and grade
210-question diagnosticGrade-matched question set
3Submit resultScore and recommended route
4Core hoursShortened lessons + self-learning

Student Information

These details let CIT review the result and reply with a recommended route.

Student name *

Parent / guardian name

Phone number *

Use digits and hyphens. Include country code for non-Korean numbers.

Date of birth *

School *

Grade / year *

Target

Prior AI learning basis *

The USAAIO format-core estimate assumes the shared AI/Python/PyTorch base is already complete.

Eligibility context *

U.S./Canadian citizen or permanent resident Full-time middle/high school student in the U.S. or Canada Need eligibility review

GitHub / Kaggle / notebook links

AI project background *

Current step Select grade to reveal the right questions

The highlighted item shows what needs attention before submission.

Select grade to load 10 questions

0/10

Result

Recommended starting point:

Online self-learning option: mobile AI-assisted Mistake Notes and Memory Notes keep wrong-answer review and retention practice moving between lessons, shortening study time while improving the learning experience.

Shorter 1:1 core hours + online self-learning option

The starting estimate should use the core path only. Repeated review and retention practice can move into mobile AI-assisted Mistake Notes and Memory Notes, so 1:1 time stays focused on reasoning, implementation, and feedback.

1:1 ~60 hrs

Shared AI core

Total 88h core with ~28h shifted to mobile review.

1:1 ~16 hrs

USAAIO format core

Shared core complete basis. Total 24h U0/U1 path with ~8h shifted to self-learning.

1:1 ~16 hrs

If already on KOAI

Usually U0+U1 first, then only targeted add-ons.

1:1 +44-48 hrs

Optional add-ons

Total +66h if U2/U3/U4 are all selected; ~18-22h shifts into self-learning.

Shorten

Online self-learning

Mobile AI-assisted Mistake Notes and Memory Notes automate review and retention routines.

Estimate Basis

USAAIO 16h format core assumes the shared AI core is complete

Students who have already covered Python, classical ML, PyTorch, CV, NLP, and notebook-based AI work can start from U0/U1. Students starting fresh add the shared AI core first, and any confirmed prior course or project experience is discounted after the level test and consultation.

Starting fresh Shared AI core + U0/U1 1:1 ~76h + self ~36h

Shared core complete U0/U1 USAAIO format 1:1 ~16h + self ~8h

Partial prior work Skip confirmed modules Adjusted after diagnosis

Mobile AI Assisted

Move repetition out of 1:1 time, keep mentoring focused

Mistake Notes organize missed concepts and reattempts. Memory Notes keep high-decay formulas, definitions, and notebook patterns in a short recurring loop.

Online self-learning Short concept review and mini checks between sessions

AI-assisted Mistake Notes Wrong-answer causes and reattempt tasks organized

Memory Notes Spaced recall for formulas, code patterns, and terms

Shared AI core 88h → 60h 1:1

Before 88h 1:1 After 60h 1:128h self

USAAIO format core 24h → 16h 1:1

Before 24h 1:1 After 16h 1:18h self

KOAI dual-track bridge 24h → 16h 1:1

Before 24h 1:1 After 16h 1:18h self

The total learning load is not removed; repeated review is moved into structured mobile self-learning so live mentoring can focus on higher-value corrections.

Shared Core

F1 Classical ML 20h

F2 PyTorch Basics 28h

A1/A2 CV·NLP·Audio 40h

USAAIO Core

U0 Eligibility Setup 4h

U1 Math + Colab 20h

Optional

U2 Round 1 Mock +20h

U3 Round 2 Depth +26h

U4 Camp Prep +20h

Module	Core topics	Total volume
Core shared base
F1 Foundations I	NumPy/Pandas/scikit-learn — regression, classification, clustering	~20 hrs
F2 Foundations II	PyTorch — MLP and a mini transformer, built from scratch	~28 hrs
A1 Computer Vision	CNN to diffusion — classify, detect, segment, generate	~20 hrs
A2 NLP & Audio	BERT, LLM APIs, Whisper — text and audio end-to-end	~20 hrs
USAAIO format core
U0 Eligibility + registration	Citizenship/visa check, portal/account/proctor-site setup	~4 hrs
U1 Math + Colab boost	By-hand math derivations + standardized Colab markdown answers	~20 hrs
Optional add-ons after target is clear
U2 Round 1 Mock Bootcamp	3-hour / CPU-only format — stamina, speed, accuracy, error log	+~20 hrs
U3 Round 2 Bootcamp	MIT / GPU L4 env — Transformers, NLP, CV, generative practice	+~26 hrs
U4 Camp prep	Team USA selection simulation + IOAI/IAIO finals exposure	+~20 hrs

Timeline by starting point

Grade 5/6 start AI literacy → F1 preview

Lower weekly load and more time for public project evidence.

Grade 7-9 start 60h shared 1:1 + U1 16h

Build the shared base, then learn notebook answer discipline.

Grade 10-12 start 60h core + targeted mocks

Compressed preparation; target choice matters earlier.

Early-start advantage

Lower weekly pressureHigh

Reusable KOAI/USAAIO baseVery high

Project evidence before applicationsHigh

Less last-minute bootcamp timeMedium-high

※ Shortened card hours are examples with mobile online self-learning. Table hours show total learning volume and vary ±30–50% per student. The USAAIO format core assumes the shared AI/Python/PyTorch base is complete. Starting fresh adds the shared core first; confirmed prior courses or projects are discounted after consultation. The optional-add-on card's 1:1 +44-48 hrs is the shortened 1:1 estimate when U2-U4's full +66h volume is all selected.