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ML Platform Design Interview
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Choose Your Path
Focused tracks — from fundamentals to interview problems.
Gen AI Native Design
RAG, Agents, LLM Ops & more
Learn to architect applications where AI is the core component. Master RAG, Agents, Vector DBs, Context Engineering, and real-world Gen AI system design.
ML System Design
Recommendations, search, ranking & more
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.
LLM Platform Design
Inference serving, fine-tuning & guardrails
Build the infrastructure powering large language models. Master GPU scheduling, inference optimization, KV caching, fine-tuning pipelines, guardrails, and evaluation systems.
ML Platform Design
MLOps, feature stores & inference
From research to production. Master MLOps, LLMOps, and building scalable ML Platforms.
Gen AI Foundations
Transformers, attention, tokenization & more
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.