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UKAIO National Qualifier

UKAIO National Qualifier consists of two rounds designed to evaluate both theoretical understanding and practical skills in AI.

  • Round 1: AI Fundamentals Challenge

Participants will solve a series of math, algorithmic and coding problems related to core AI concepts. Questions may involve mathematical reasoning, equations, and intuitive understanding of algorithms and machine learning principles.

  • Format: 25 multiple-choice questions (2 marks each) and 10 fill-in-the-blank questions (5 marks each)

  • Programming Language: Python

  • Total Score: 100

  • Duration: 90 minutes

  • Focus: Mathematical logic, basic coding, algorithmic thinking, and AI foundations

  • Round 2: Applied Problem Solving

In this round, participants will tackle a practical problem using Google Colab. The problem includes a dataset, and participants are expected to preprocess the data, apply suitable machine learning algorithms, and submit both the trained model and their code.

  • Format: One practical problem (computer based), 50 marks

  • Note: Students are required to bring their own laptops for the in-person exam. Limited internet access will be provided during the test. The use of AI tools (e.g., ChatGPT or similar) is strictly prohibited.

  • Programming Language: Python

  • Total Score: 50

  • Duration: 90 minutes

  • Evaluation Criteria:

    1. Model performance (e.g., recision, recall, f1 score, roc & auc, etc.)

    2. Code quality (e.g., clarity, structure, etc.)

This round assesses participants’ ability to apply AI knowledge in real-world scenarios and produce functional solutions.

UKAIO National Training Camp

The National Training Camp will take place over three consecutive Saturdays in January 2026. This invite-only program includes two rounds of testing, modeled after the UKAIO National Qualifier but with more challenging questions to push participants further.

In Round 2, the focus will be on reinforcement learning and recommender systems, giving students the opportunity to apply AI concepts to real-world scenarios. The camp also features expert-led lectures, hands-on exercises, and collaborative team activities to enhance both technical and problem-solving skills.

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