All Courses

Interview Paths

Explore focused tracks for ML System Design, LLM Platform Design, Gen AI Native Design and more. Each path is designed to take you from fundamentals to confident whiteboard delivery.

Gen AI Foundations

Master the internals of large language models. Understand transformers, attention, tokenization, prompt caching, KV caching, and the full model landscape — the bedrock every AI engineer needs.

Gen AI Native Design

Learn to architect applications where AI is the core component. Master RAG, Agents, Vector DBs, Context Engineering, and real-world Gen AI system design.

LLM Platform Design

Build the infrastructure powering large language models. Master GPU scheduling, inference optimization, KV caching, fine-tuning pipelines, guardrails, and evaluation systems.

ML Platform Design

From research to production. Master MLOps, LLMOps, and building scalable ML Platforms.

ML System Design

Design ML-powered products end-to-end. Recommendation systems, search ranking, fraud detection, pricing ML, and more — the patterns senior ML engineers use in production.

More Content Coming Soon

We're drafting modules on Engineering Strategy, Behavioral Interviews for Leaders, and advanced LLD at Scale.