Design systems that scale AI
Learn system design for modern AI products: model gateways, retrieval services, async workloads, streaming, caches, rate limits, tenancy, and resilient APIs.
Prerequisites: Comfort with APIs, databases, and distributed-system basics
Mid-to-senior engineers designing distributed AI systems
Thinking about an AI career? We break down every major role — ML Engineer, Data Scientist, AI Researcher, Prompt Engineer, MLOps, and more — with honest salary ranges, required skills, and how to get started.
⏱️ 4 min readPrepare for your AI job interview with 30 essential questions and detailed answers — covering beginner, intermediate, and advanced topics.
⏱️ 4 min readLearn what Retrieval-Augmented Generation (RAG) is, how it works step by step, and why it's transforming AI applications — explained in plain language.
⏱️ 4 min readAI Craft teaches system design - how to architect large-scale distributed systems. You'll design recommendation engines, search autocomplete, rate limiters, and other systems that power modern AI products.
Yes, AI Craft assumes you're comfortable with coding interviews and basic distributed systems concepts. It's designed for mid-to-senior engineers preparing for system design rounds.
Yes! System design rounds are a critical part of senior-level interviews at major tech companies. AI Craft teaches you to structure answers clearly and design scalable systems.
The first lesson of AI Craft is free to try. Pro unlocks the rest of the programme, along with every other academy, track, and certificate.
You'll design a URL shortener, rate limiter, recommendation engine, and more. Each system is explained with trade-off analysis, scalability considerations, and AI-specific infrastructure patterns.
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
Design a WhatsApp-like chat system handling millions of concurrent users with real-time delivery.