System Design Interview Preparation
Stop improvising architecture on the whiteboard. Start mastering the frameworks.
This course is generated on-demand — tailored to your learning style with podcasts, flashcards, case studies, and assessments.
Want to adjust the focus, depth, or number of modules? You can customize before generating.
30-Day Learning Guarantee — If the course doesn't meet your expectations, we'll refund you. No questions asked.
Course overview
What you'll learn
System design interviews feel like walking into a room where the interviewer expects you to architect Google in 45 minutes. You're asked to design scalable systems under time pressure, juggling trade-offs between consistency and availability, debating SQL vs. NoSQL, and sketching distributed architectures while your interviewer probes every decision. The problem? Most engineers prepare by skimming random blog posts about CAP theorem or watching YouTube videos on load balancing — then freeze when asked to design Instagram's feed or a URL shortener from scratch.
This course replaces scattered googling with a structured prep program that covers every angle of system design interview questions. You'll work through the foundational building blocks — databases, caching strategies, message queues, CDNs — then apply them to real-world scenarios interviewers actually ask about. Through podcast-style explanations, you'll internalize concepts like horizontal vs. vertical scaling and eventual consistency. Flashcards drill you on frameworks: how to approach capacity estimation, when to denormalize, how to handle single points of failure. Written case studies walk you through designing Twitter, Netflix, or ride-sharing systems with full architectural diagrams. Timed practice problems simulate the pressure of whiteboarding while AI feedback critiques your approach, pointing out missed bottlenecks or over-engineering.
This course is for software engineers interviewing at mid-to-senior levels, particularly at companies known for rigorous system design rounds (FAANG, startups scaling rapidly). Whether you're rusty on distributed systems or have never designed beyond your team's monolith, you'll walk into the interview room with mental models, vocabulary, and a repeatable problem-solving process — not just hoping you remember something from that article you skimmed last week.
Course curriculum
8 modules, designed for mastery
Foundations: Core Building Blocks of Scalable Systems
~85 minMaster the fundamental components interviewers expect you to know cold: load balancers, databases (SQL vs. NoSQL trade-offs), caching layers (Redis, Memcached), CDNs, and message queues. Learn when to reach for each tool and how they interact in real architectures.
The System Design Framework: How to Tackle Any Problem in 45 Minutes
~75 minLearn the structured approach that prevents you from diving into implementation details too early. Covers requirements clarification, capacity estimation (back-of-the-envelope calculations), high-level design, deep dives, and handling follow-up questions about failure modes and bottlenecks.
Scalability Patterns: Horizontal vs. Vertical Scaling, Sharding, and Replication
~80 minUnderstand the strategies for handling millions of users: when to scale up vs. out, database sharding techniques (consistent hashing, range-based partitioning), master-slave vs. multi-master replication, and how to avoid single points of failure.
Consistency, Availability, and Partition Tolerance: Trade-Offs in Distributed Systems
~70 minDecode the CAP theorem and apply it to real scenarios. Learn about eventual consistency, strong consistency, and when to sacrifice availability for consistency (or vice versa). Covers real-world examples like DynamoDB, Cassandra, and Spanner.
Classic Problems Part 1: URL Shortener, Pastebin, and Rate Limiter
~90 minWork through three foundational system design questions interviewers love. Practice designing a URL shortener (bit.ly), a text storage service (Pastebin), and an API rate limiter — covering hashing strategies, database schema design, and throttling algorithms.
Classic Problems Part 2: Design Twitter, Instagram Feed, or YouTube
~85 minTackle high-complexity social media systems. Design Twitter's timeline (fan-out strategies), Instagram's photo storage and feed ranking, or YouTube's video streaming architecture — handling read-heavy workloads, storage optimization, and recommendation engines.
Real-Time Systems: Chat Applications, Uber, and Notification Services
~75 minDesign systems requiring low-latency updates: messaging apps (WebSockets vs. long polling), ride-sharing location tracking (geospatial indexing, ETA calculation), and push notification services at scale. Learn about pub-sub patterns and event-driven architectures.
Timed Practice: Simulated Whiteboard Sessions with AI Feedback
~60 minFace four timed problems under realistic conditions (45 minutes each). Design a file storage service like Dropbox, a search autocomplete system, a news feed aggregator, and a distributed task scheduler. Get detailed feedback on your approach, completeness, and communication style.
Total estimated time: ~10 hours across 8 modules
Everything you need
Six learning formats, one complete experience
Every module delivers content across multiple formats — each chosen for a specific learning science reason.
AI-Generated Podcasts
Two voices — an expert and a curious learner — break down complex topics in engaging conversations. Listening activates different cognitive pathways than reading, deepening comprehension.
Structured Key Concepts
Clear, pedagogically-framed core knowledge organized for progressive understanding. Each concept builds on the last, creating a coherent mental model.
Real-World Case Studies
Applied examples from actual scenarios show how theory works in practice. Case-based learning bridges the gap between knowing a concept and using it.
Interactive Flashcards
Active recall — testing yourself — is proven to improve retention by 50%+ compared to passive review. Flashcards make retrieval practice effortless.
Quizzes & Assessments
Multiple-choice questions with detailed explanations test understanding and reveal knowledge gaps before you move on. Mastery-based progression ensures nothing is skipped.
Written Assignments
Writing forces deeper processing than multiple choice. Synthesize your learning by applying concepts to realistic scenarios, with instant AI-powered feedback on your analysis.
Built on learning science
Every format is here for a reason
Erudia courses combine five proven learning methods into one seamless experience — so knowledge sticks, not just passes through.
Spaced Exposure
Content revisited across multiple formats — audio, text, flashcards, quizzes — reinforces memory through varied repetition. Each encounter strengthens the neural pathway differently.
Retrieval Practice
Flashcards and assessments force active recall — proven to improve retention by 50%+ versus passive reading. Every quiz is a memory-strengthening event.
Synthesis Through Writing
Written assignments require deeper processing than multiple choice. When you explain a concept in your own words, you discover what you truly understand and what you don't.
Multi-Format Learning
Audio, reading, case studies, and interactive practice mirror how people naturally absorb complex information. Each format activates different cognitive pathways, building richer understanding.
Mastery-Based Progression
You can't skip ahead until you've demonstrated understanding. This isn't arbitrary — it's how lasting learning works. Each module builds on the foundations laid by the previous one.
What learners are saying
Real courses, real feedback
“I expected a surface-level overview, but the course actually got into altitude-specific soil biology, frost-resilient guild planting, and water management for mountain terrain. The case studies were specific enough that I could apply them to my own site. The podcast episodes were perfect for listening while working in the garden.”
Victoire Coustou Hibert
Passionate Gardener · High Altitude Permaculture in Switzerland
“I've read the book twice, so I was skeptical a course could add anything. It did. The module on counter-strategies completely changed how I think about defensive positioning, and the written assignments forced me to actually apply the laws to situations I'm dealing with at work — not just passively absorb them.”
Mauritz Burenius
Author of Never Piss Off HR · The 48 Laws of Power
“This covered territory I haven't seen in any other course — residual valuation models for streaming libraries, probabilistic forecasting for franchise IP, portfolio construction across film, TV, and gaming assets. The quizzes caught gaps in my understanding I didn't know I had. Genuinely useful for anyone working in media finance.”
Andrew Kotliar
Media & Entertainment Finance · Advanced Valuation and Portfolio Management of Media IP
Start learning today
This course is generated on-demand — built for you in approximately 20 minutes.
Want to adjust the focus, depth, or number of modules? You can customize before generating.
30-Day Learning Guarantee — If the course doesn't meet your expectations, we'll refund you. No questions asked.
Single course: €9 · Unlimited access: €19/month
Full course with podcasts, flashcards, case studies & AI-graded assessments
FAQ
Frequently asked questions
Yes. The course focuses on foundational concepts (CAP theorem, sharding, caching) and technologies (Redis, Kafka, Cassandra, S3) that remain industry-standard. While specific tools evolve, the architectural patterns and trade-offs you'll learn apply universally — whether you're discussing AWS, GCP, or Azure in your interview.
Absolutely. Most engineers haven't architected systems at Google scale, but interviewers aren't looking for production experience — they're evaluating your ability to think through trade-offs, ask clarifying questions, and justify decisions. This course teaches the frameworks and vocabulary to reason about scalability problems you haven't personally solved.
Practicing with a friend helps if they already know what to look for — but most peers aren't trained interviewers. ChatGPT can generate problems but won't systematically teach you capacity estimation, identify when you've over-engineered, or drill you on the specific trade-offs (eventual vs. strong consistency) interviewers probe. This course structures the knowledge progression, then provides timed practice with targeted feedback on gaps in your approach.
Yes — and often richer than traditional single-format courses. Every course is built from curated web sources and structured using proven pedagogical frameworks: spaced exposure, retrieval practice, and mastery-based progression. A supervisor agent reviews all generated content for accuracy, consistency, and depth before it reaches you. The multi-format approach — podcasts, case studies, flashcards, written assignments with AI feedback — creates a more complete learning experience than most human-created courses that rely on video lectures alone.
Each course is divided into modules that take approximately 45-90 minutes each, depending on topic complexity. You can work through them at your own pace — there are no deadlines. Most learners complete a full course within 1-3 weeks depending on depth and schedule.
Every course includes AI-generated two-voice podcasts, structured key concepts, real-world case studies, interactive flashcards, multiple-choice quizzes, and written assignments with AI-powered feedback. All content is generated specifically for your course topic.
Yes. Erudia is fully responsive and works on any device — phone, tablet, or desktop. Listen to podcasts on the go, review flashcards during a commute, or complete assignments on your laptop. Your progress syncs across all devices.
We offer a 30-day learning guarantee. If you complete a course and don't feel you've genuinely learned something new, we'll refund your purchase — no questions asked. We're that confident in the science behind every course.
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