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โš’๏ธ Level 3

AI Craft

Building Skill - System Design

Design large-scale systems that power AI: recommendation engines, search autocomplete, rate limiters. Learn to think in architectures, not just code.

10
Lessons
~8h
Duration
3/5
Level

๐ŸŽฏ What You'll Learn

  • โœ“Structure system design answers clearly
  • โœ“Design scalable distributed systems
  • โœ“Understand AI-specific infrastructure patterns

Prerequisites: Comfortable with coding interviews

๐Ÿ‘ค Who Is This For?

Mid-to-senior engineers preparing for system design rounds

๐Ÿท๏ธ Topics Covered

Design a URL ShortenerDesign a Rate LimiterDesign a Recommendation Engine
๐Ÿงช

Try Our Interactive Experiments

Put theory into practice with hands-on AI experiments you can run right in your browser.

โ†’

๐Ÿ“š Lessons

1
๐Ÿ—๏ธ

System Design Fundamentals

Master the core components every system design interview expects you to know.

โฑ๏ธ 20mโ†’
2
๐Ÿ”—

Design a URL Shortener

Walk through a complete URL shortener design using the structured interview framework.

โฑ๏ธ 25mโ†’
3
๐Ÿ’ฌ

Design a Chat Application

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โ“ Frequently Asked Questions

AI Craft teaches system design โ€” 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.

AI Craft takes approximately 6โ€“8 hours. System design requires deep thinking and each case study builds on previous concepts.

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.

Yes, AI Craft is completely free. Our goal is to democratise access to high-quality interview preparation resources.

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.

Start First Lesson โ†’

๐Ÿ”’ Sign in to track progress and earn certificates

โ† Back to All Academics

Design a WhatsApp-like chat system handling millions of concurrent users with real-time delivery.

โฑ๏ธ 25mโ†’
4
๐ŸŽฏ

Design a Recommendation Engine

Architect a production recommendation system combining collaborative filtering, embeddings, and real-time serving.

โฑ๏ธ 25mโ†’
5
๐Ÿš€

Design an AI API Platform

Architect a platform like OpenAI's API that serves multiple AI models with authentication, rate limiting, and auto-scaling.

โฑ๏ธ 25mโ†’
6
๐Ÿ›ก๏ธ

Design a Rate Limiter

Learn how to design a distributed rate limiter using token bucket, sliding window, and Redis-backed algorithms to protect APIs from abuse and ensure fair usage.

โฑ๏ธ 20mโ†’
7
๐Ÿ””

Design a Notification System

Design a scalable multi-channel notification system handling push, email, SMS, and in-app notifications with message queues, deduplication, and user preference management.

โฑ๏ธ 22mโ†’
8
๐ŸŽฌ

Design a Video Streaming Platform

Design a scalable video streaming platform covering upload pipelines, adaptive bitrate transcoding, CDN distribution, and live streaming architecture.

โฑ๏ธ 25mโ†’
9
๐Ÿ•ท๏ธ

Design a Web Crawler

Design a distributed web crawler covering URL frontier management, politeness policies, content deduplication with SimHash, and distributed crawling with consistent hashing.

โฑ๏ธ 22mโ†’
10
โšก

Design a Distributed Cache

Design a distributed caching system covering cache strategies, consistent hashing, eviction policies, cache stampede prevention, and Redis Cluster architecture.

โฑ๏ธ 23mโ†’