Patterns for solving harder problems
Practise the algorithmic patterns that recur in production services, search, recommendation, data processing, and technical interviews.
Prerequisites: AI Sketch or equivalent data-structure knowledge
Engineers with programming fundamentals
You don't need to master Python to use it for AI. Here's the minimal subset of Python that will get you reading, writing, and understanding AI code fast.
⏱️ 4 min readNeural networks explained simply — biological vs artificial neurons, layers, training, backpropagation, activation functions, and the difference between CNNs, RNNs, and Transformers. No maths required.
⏱️ 4 min readPrepare for your AI job interview with 30 essential questions and detailed answers — covering beginner, intermediate, and advanced topics.
⏱️ 4 min readYou should have completed AI Sketch or have equivalent knowledge of basic data structures (arrays, hash maps, strings). AI Chisel builds on those foundations with intermediate patterns.
AI Chisel covers two pointers, sliding window, BFS/DFS graph traversal, tree traversals, stacks, queues, and monotonic patterns - all tied to real AI and ML applications.
The first lesson of AI Chisel is free to try. Pro unlocks the rest of the programme, along with every other academy, track, and certificate.
Absolutely. The patterns covered in AI Chisel appear frequently in medium-difficulty interview questions at major tech companies. Each lesson includes interview-style practice problems.
Graph traversal powers knowledge graphs and social network analysis. Tree structures underpin decision trees and random forests. Two pointers optimise data processing in ML pipelines. Every pattern connects to real AI applications.
Choose a plan to unlock every academy, every lesson, progress sync, and completion certificates. Start building skills that compound.
Try Pro free for 7 days →Free for 7 days. Cancel anytime, no questions asked.
🔒 Sign in to track progress and earn certificates
Learn the traversal and shortest-path algorithms that power maps, social networks, and web crawlers.