About ai++
We built ai++ because the best way to understand AI is to go deep — layer by layer — not just get a surface-level overview.
AI moves fast. Most learning resources are either too shallow (listicles, YouTube summaries) or too academic (papers, textbooks). There's a gap for people who want real understanding without a PhD.
Every topic has 7 learning layers, each unlocking a different dimension of understanding:
Concepts
Core ideas explained plainly — with analogies, mental models, and the non-obvious insight most people miss.
Math & Theory
The mathematical intuition behind the concept — from geometric intuition at beginner level to full derivations at advanced.
Examples
Real-world deployments: what problem was solved, how it was built, what the results were, and one detail nobody talks about.
Implementation
Build it from scratch. Hands-on Python exercises that run in the browser — no setup required.
Research Papers
The seminal papers that defined the field — summarised by impact, key finding, and why they changed everything.
History
The story of how and why this technology emerged — the people, the dead ends, the lucky accidents, the breakthroughs.
Interview Prep
7 Q&As per topic scaled from beginner to advanced — the way a real interviewer at Google or a top AI startup would ask them.
When the content isn't enough, AI expands any layer on demand — giving you a richer explanation based on exactly what you're studying. Pro subscribers get a full AI chat on every topic, powered by their learning context.
Engineers who want to understand what they're building on top of. Founders navigating AI strategy. Students preparing for technical interviews. Anyone who wants to go beyond the buzzwords and actually know what's happening.