Sundog Education · on Udemy

Mastering the System Design Interview

4.6(14,990) on Udemy·110K enrolled
All levels 5 hours English Course Certificate
SkillsSystem designScalabilityCachingDistributed systemsShardingInterview preparation

Is this course right for you?

Our take
This Udemy course drills the core building blocks of system design — horizontal scaling, sharding, caching, CDNs, resiliency and distributed storage — with an added module on designing generative-AI systems like RAG and agents.

Good for: Preparing for system-design interviews.

Skip if: You want deep production architecture or you are a beginner coder.

It's explicitly interview-focused, and that shapes what it's good for: it gives engineers the vocabulary and repeatable patterns to reason through the open-ended 'design Twitter' questions that dominate senior interviews, where there's no single right answer and the point is how you think out loud. The genAI module is a timely addition, since those systems are starting to show up in interview prompts of their own.

It's the wrong course if you want deep production architecture for its own sake, or if you're still a beginner coder without the fundamentals to build on. Udemy lists a high price but it's almost always $12–20 on sale with lifetime access — wait for the discount. The completion certificate is a learning record, not a qualification (as of 2026).

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About this course

This course covers the core technical building blocks of system design (horizontal scaling, sharding/NoSQL, caching, CDNs, resiliency, distributed storage), a dedicated module on designing generative AI systems (RAG, agentic AI), and six full mock interviews — designing a URL shortener, a restaurant reservation system, a web crawler, a top-sellers system, a video-sharing service (YouTube), and a search engine (Google) — each with the clarifying questions, the design process, and a debrief.

Instructor

FK
Frank Kane
Udemy instructor

Frank Kane spent 9 years at Amazon and IMDb as a 'bar raiser' with veto authority over hiring decisions, interviewing 1,000+ candidates and hiring hundreds, holding 17 patents in distributed computing and machine learning.

Frequently asked questions

Experienced software engineers and architects preparing for system-design interviews at large tech companies — not beginners or people new to programming. It assumes you already build software and understand basic architecture, and focuses on the specific skill of designing scalable systems under interview conditions. If you are early in your coding journey, this is aimed at a later stage of your career than where you are now.

Yes, genuinely. The whole premise is preparing for senior-level interviews, so it expects real software-engineering background — you should understand how applications, databases, and networks fit together before starting. It is taught by a former Amazon hiring manager and 'bar raiser' precisely to reflect what those interviews demand, so it lands best for mid-to-senior engineers rather than those without production experience.

The core of system-design interviews: horizontal versus vertical scaling, choosing data structures and storage, designing for massive load, and the architecture patterns interviewers probe — plus the soft skills of how to approach the question. Alongside the tech review it includes several complete mock interviews, so you see the process modelled end to end rather than only learning concepts in isolation.

Not specifically — it focuses on general scalable system design (web-scale services, databases, caching, load balancing) rather than designing machine-learning or AI-specific systems. That reflects what most system-design interviews still test. If your target role centres on ML infrastructure specifically, you would supplement this with material on ML system design, but for standard big-tech interviews the general foundations here are what you need.

It is a course completion certificate, so treat it as a marker of effort rather than a credential that matters to interviewers. What actually helps is walking into the interview able to reason clearly about scale and trade-offs — which the course builds through its mock interviews and worked examples. Focus on genuinely absorbing the approach and practising it aloud, not on the certificate itself.
Paid
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