Nearly 200
students advanced to in-person Round 2
- Round 2 cutoff
- 98 / 300
- High Honor Roll
- 146 / 300
- Distinguished Honor Roll
- 201 / 300
AIClub AI Olympiad
USAAIO 2027
Preparation Map
A grounded path from your first practice problem to the USA-North America AI Olympiad and, for top qualifiers, Team USA selection.
Competition pathway
How the pathway unfolds
Round 1 is open to everyone. Advancement to later stages is based on qualification and eligibility rules set by USAAIO.
Round 1 benchmarks
Recent qualification results, organized by competition cycle.
76 of 393
students advanced to Round 2
- Round 2 cutoff
- 53 / 300
- Advancement rate
- 19.3%
-
01
Round 1
February 19, 2027
Foundations, coding, and core AI. -
02
Round 2
March or April 2027
All syllabus topics and deeper modeling. -
03
USAAIO Camp
June 2027
Round 3 and Team USA selection. -
04
Team USA
International representation
IOAI and IAIO.
Preparation sequence
The learning dependency map
Follow the sequence where one chapter supplies the tools for the next. Chapters placed side by side can be studied in parallel.
Chapter 1Welcome and competition orientation
↓
Chapter 2Python and Google Colab
↓
Chapter 3Linear AlgebraCan be studied in parallel
Chapter 4Probability and CalculusCan be studied in parallel
↓
Chapter 5Optimization
↓
Chapter 6Supervised LearningCan be studied in parallel
Chapter 7Unsupervised LearningCan be studied in parallel
↓
Chapters 8-9scikit-learn in Practice and Topic Check
Volume 2
Deep learning and advanced AI
Build from the Volume 1 foundations into the concepts that recur in later-round problems.
PyTorch Fundamentals
Tensors, autograd, modules, optimizers, training loops.
→
Neural Network Foundations
MLPs, activations, backpropagation, regularization.
↓
Computer Vision and CNNs
Convolutions, U-Net, transfer learning, inverse problems.
Transformers and Attention
Attention, positional encoding, efficient attention, ViTs.
↓
Natural Language Processing
Tokenization, embeddings, BERT, fine-tuning, prompts.
↓
Generative AI and Advanced Vision
Autoencoders, VAEs, GANs, diffusion, CLIP.
↓
Competition Integration
Strategy, Round 2 patterns, bridge exam, and full Round 1 mock.