Phase 0
Python Beginner
Join our Python Beginner Course, an NCFE endorsed program, learn the essential data structures and algorithms in for solving real-world problems.
School Course Progression
GCSE and A Level
Ideal for students preparing for GCSE or A Level, offering high-quality, structured teaching in small classes, with comprehensive lessons carefully designed to cover all topics required by the syllabus.
Phase 1/Phase 2
Python Explorer
Mastering more sophisticated data structures, algorithms, and programming techniques. Build confidence in solving complex, real-world problems and prepare for higher-level coding challenges.
Competitive Coding
Coding Competition
Designed specifically to prepare students for national and international coding contests. Benefit from expert guidance, systematic problem-solving training, and our proven track record of student success.
AI - No-Code Bootcamp (Block-Based Programming)
Learn essential math, machine learning, and neural networks without writing any code. Build AI projects using our self-developed, visual, block-based platform and TensorFlow.
UK Bebras Coding Challenge Python - PathFinder
Tackle problem-solving tasks in the UK Bebras Coding Challenge with Python—PathFinder, sharpening your computational thinking and coding skills.
AI - Further Mathematics Foundations
Build a further math foundation— from linear algebra to calculus — to prepare for advanced machine learning concepts.
UK Bebras Coding Challenge Python - Trailbalzers
Advance from fundamental theory to hands-on data structure and algorithm mastery, then apply these skills systematically in the UK Bebras Challenge—Trailblazers.
AI - Advanced Python with Further Math
Apply further math concepts in Python to explore and develop machine learning processes and projects.
UK Perse Coding Challenge - Round 2 - Python
Invitation only. This course delves into data structures and algorithms beyond A-level standards—exclusively for students who already possess an advanced understanding of A-level data structures and algorithms.
