Welcome to a comprehensive learning journey designed for students of all levels, from absolute beginners to those aiming to compete in programming Olympiads.
Our curriculum focuses on practice using methods, ideas, and concepts as interesting practical tasks. Students are able to use these tools to solve one problem in several ways.
We monitor the progress of students, and after each module, adjustments are made to our curriculum for each student. High performing students are gathered into strong groups and practice more challenging material.
Students develop a competitive spirit through our team and individual competitions which encourages active communication, enhanced performance, and motivation.
Learn the programming language, fundamental concepts, algorithms, and data structures
Develop skills using the most used algorithms and data structures in computer science.
Learn ML intuition, neural networks, and computer vision. Students prepare to participate in Artificial Intelligence Olympiads including IOAI.
Learn advanced algorithms and data structures. Students are prepared to participate in national and international olympiads including IOI.
Advanced Functions and Recursion Basics
Introduction to Data Structures: Stacks, Queues, and Linked Lists
More on Object-Oriented Programming: Inheritance and Polymorphism
Algorithm Basics: Searching and Sorting
Intro to Dynamic Programming Concepts
Practice with Simple Competitive Programming Problems
Developing More Complex Projects and Games
Regular Coding Practice Sessions and Peer Reviews
Students in League 2 bridge the gap between their foundational programming knowledge and Data Science. Here they are introduced to NumPy, Pandas, Matplotlib, and scikit-learn. They learn to evaluate data and develop core machine learning intuition. This stage serves as the perfect intermediate step, combining fundamental coding with foundational data structure manipulations and ML algorithms.
Introduction to Olympiad Programming
Transitioning to Competitive Programming Languages (e.g., C++)
Advanced Algorithms and Data Structures
Graph Theory and Network Flow
Advanced Problem-Solving Techniques
Practice with Real Olympiad Problems
Time and Space Complexity Optimization
Strategies for Different Types of Olympiad Challenges
Mock Competitions and Timed Practices
Reviewing and Analyzing Top Solutions
Students in League 1 focus exclusively on deep neural networks and complex models, counting themselves amongst the most capable young ML engineers. This chapter explores Computer Vision (CNNs, YOLO) and Natural Language Processing (Transformers, LLMs). Students prepare intensively for the IOAI through advanced conceptual assignments and Olympiad-style model benchmarking.
Your path to becoming a tech leader starts here!
Bring a friend. You both get a discount and an extra class.