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Interview Preparation Bootcamp

Course progress

0%
0 of 177 modules complete
Start Here0/1
  • How to Use This Course
Data Structures & Algorithms0/27
  • Arrays and Hashing
  • Two Pointers
  • Sliding Window
  • Sliding Window: Harder Problems
  • Binary Search
  • Stacks
  • Practice Test: Arrays, Pointers, Windows, Search and Stacks
  • Trees: Traversals and Core Patterns
  • Binary Search Trees and Rebuilding a Tree
  • Tries (Prefix Trees)
  • Heaps and Priority Queues
  • Graphs: BFS and DFS
  • Topological Sort and Cycle Detection
  • Union-Find (Disjoint Set Union)
  • Practice Test: Trees, Heaps and Graphs
  • Dynamic Programming Basics
  • Dynamic Programming: Two Dimensions
  • Dynamic Programming: Hard String Matching
  • Backtracking
  • Backtracking: Constraint Satisfaction
  • Greedy Algorithms
  • Interval Problems
  • Bit Manipulation
  • Math and Geometry
  • String Manipulation
  • Pattern Recall and Mock Coding Rounds
  • Practice Test: DP, Backtracking, Greedy and More

System Design

Foundations0/16
  • The System Design Interview Framework
  • Back-of-the-Envelope Estimation
  • Networking and Protocols for Design
  • API Design and Idempotency
  • Load Balancing, Proxies, and Scaling Out
  • Caching and CDNs
  • Choosing a Database: Storage, Indexes and Transactions
  • Replication, Partitioning, and Sharding
  • CAP, PACELC, and Levels of Consistency
  • Messaging, Queues, and Event-Driven Architecture
  • Distributed Transactions and Data Integrity
  • Coordination, Consensus, and Distributed Locks
  • Reliability, Resilience, and Rate Limiting
  • Observability, Security, and Cost
  • System Design Cheat Sheet
  • Practice Test: System Design Foundations
Case Studies0/23
  • Design a URL Shortener
  • Design a Rate Limiter
  • Design a Notification Service
  • Design a Job Queue System
  • Design a Chat App (WhatsApp)
  • Design an Analytics Pipeline
  • Design a Multi-tenant SaaS Architecture
  • Design a Social Media Feed (Twitter/X)
  • Design a Search Autocomplete System
  • Design a File Storage Service (Dropbox)
  • Design Google Docs
  • Design a Code Review System
  • Design Netflix
  • Design YouTube
  • Design Spotify
  • Design Uber/Lyft
  • Design Airbnb
  • Design Ticketmaster (Eventbrite)
  • Design an E-commerce Cart, Checkout, and Catalog
  • Design a Payment System
  • Design a Logging and Monitoring System
  • Mock Design Rounds
  • Practice Test: System Design Case Studies
Low-Level Design0/19
  • The LLD Interview Framework and UML
  • OOP Foundations for Design
  • SOLID Principles
  • Creational Patterns
  • Structural Patterns
  • Behavioral Patterns I — Strategy, Observer, Command, State, Template Method
  • Behavioral Patterns II and Anti-Patterns
  • Concurrency in Low-Level Design
  • Design a Parking Lot
  • Design an Elevator System
  • Design a Movie Ticket Booking System
  • Design an Expense-Sharing App (Splitwise)
  • Design a Vending Machine and an ATM
  • Design a Rate Limiter and a Logging Framework
  • Design a Notification Service and an In-Memory Cache
  • Design Games — Tic-Tac-Toe, Snake and Ladder, Chess
  • Database Design for LLD
  • LLD Cheat Sheet and Recall Drill
  • Practice Test: Low-Level Design

Backend

Python0/5
  • How Python Runs Your Code
  • Functions Deep Dive: Closures, Generators, Context Managers, Scope
  • Classes Deep Dive: Method Types, MRO, Metaclasses
  • Standard Library and Serialization
  • Practice Test: Python
Django0/6
  • Django Request Lifecycle
  • Lab: Django Middleware — Request ID & Response Time
  • Django ORM and Querysets
  • Django's Cache Framework
  • Practice Test: Django
  • Django in Production: Debugging Labs
FastAPI0/5
  • FastAPI, ASGI, and Async
  • FastAPI Dependency Injection
  • FastAPI Background Tasks
  • Lab: FastAPI Async — Concurrent Aggregation
  • Practice Test: FastAPI
Databases (PostgreSQL)0/6
  • Indexing
  • Query Optimization
  • Transactions and Isolation
  • Migrations and Schema Changes
  • Hierarchical Data and Safe Concurrent Updates
  • Practice Test: Databases
Caching, Queues & Distributed Systems0/8
  • Redis Caching
  • Redis Advanced Patterns
  • Celery and Background Workers
  • Kafka and Message Queues
  • Async Pipelines
  • Distributed Systems Basics
  • Distributed Locks
  • Practice Test: Caching, Queues and Distributed Systems
APIs, Security & Deployment0/9
  • REST API Design
  • API Versioning and Error Handling
  • API Security and Authentication
  • WebSockets and Real-Time Systems
  • Docker and Containers
  • File Storage with S3
  • Testing Strategies
  • Mock Backend Round
  • Practice Test: APIs, Security and Deployment
Frontend0/38
  • HTML Document Structure and Semantics
  • CSS Box Model, Flexbox and Grid
  • CSS Architecture and Theming
  • CSS and Rendering Performance
  • Variables, Scope, Hoisting, and Truthiness
  • Functions, this, and Binding
  • Objects and Prototypal Inheritance
  • JavaScript Utility Patterns: Cloning, Caching, and Memory
  • Promises From Scratch
  • The Event Loop and Browser Rendering Pipeline
  • The DOM: Nodes, Events, and Traversal
  • Practice Test: HTML, CSS and JavaScript
  • React Rendering Fundamentals
  • React Hooks Internals
  • React Performance
  • Lab: React — Stateful Counter Component
  • State Management
  • State Machines in React
  • React Custom Hooks and Composition Patterns
  • TypeScript for React
  • React Testing
  • Practice Test: React
  • HTTP and Caching
  • Network Performance and Web Vitals
  • Code Splitting and Bundles
  • Virtualization
  • GraphQL and Data Fetching
  • Web Security
  • WebSockets and Real-time
  • SSR and Next.js
  • Micro-frontends
  • Build Tools and Bundling
  • Accessibility
  • Error Handling
  • Internationalization
  • Animation
  • Rapid Recall and Mock Frontend Rounds
  • Practice Test: Performance, Architecture and Production
Behavioral & Interview Day0/14
  • Resume and Project Walkthroughs
  • The STAR Method and Refining Your Stories
  • Conflict and Difficult Coworkers
  • Failures, Incidents, and Obstacles
  • Leadership, Mentorship, and Ownership
  • Teamwork, Communication, and Feedback
  • Growth and Handling Ambiguity
  • Career Goals, Why This Company, and Negotiation
  • Situational Questions
  • Company Research
  • Mock Behavioral Rounds
  • Interview Day
  • After the Interview
  • Practice Test: Behavioral and Interview Day
Mock Design Rounds
Course contents

Interview Preparation Bootcamp

Course progress

0%
0 of 177 modules complete
Start Here0/1
  • How to Use This Course
Data Structures & Algorithms0/27
  • Arrays and Hashing
  • Two Pointers
  • Sliding Window
  • Sliding Window: Harder Problems
  • Binary Search
  • Stacks
  • Practice Test: Arrays, Pointers, Windows, Search and Stacks
  • Trees: Traversals and Core Patterns
  • Binary Search Trees and Rebuilding a Tree
  • Tries (Prefix Trees)
  • Heaps and Priority Queues
  • Graphs: BFS and DFS
  • Topological Sort and Cycle Detection
  • Union-Find (Disjoint Set Union)
  • Practice Test: Trees, Heaps and Graphs
  • Dynamic Programming Basics
  • Dynamic Programming: Two Dimensions
  • Dynamic Programming: Hard String Matching
  • Backtracking
  • Backtracking: Constraint Satisfaction
  • Greedy Algorithms
  • Interval Problems
  • Bit Manipulation
  • Math and Geometry
  • String Manipulation
  • Pattern Recall and Mock Coding Rounds
  • Practice Test: DP, Backtracking, Greedy and More

System Design

Foundations0/16
  • The System Design Interview Framework
  • Back-of-the-Envelope Estimation
  • Networking and Protocols for Design
  • API Design and Idempotency
  • Load Balancing, Proxies, and Scaling Out
  • Caching and CDNs
  • Choosing a Database: Storage, Indexes and Transactions
  • Replication, Partitioning, and Sharding
  • CAP, PACELC, and Levels of Consistency
  • Messaging, Queues, and Event-Driven Architecture
  • Distributed Transactions and Data Integrity
  • Coordination, Consensus, and Distributed Locks
  • Reliability, Resilience, and Rate Limiting
  • Observability, Security, and Cost
  • System Design Cheat Sheet
  • Practice Test: System Design Foundations
Case Studies0/23
  • Design a URL Shortener
  • Design a Rate Limiter
  • Design a Notification Service
  • Design a Job Queue System
  • Design a Chat App (WhatsApp)
  • Design an Analytics Pipeline
  • Design a Multi-tenant SaaS Architecture
  • Design a Social Media Feed (Twitter/X)
  • Design a Search Autocomplete System
  • Design a File Storage Service (Dropbox)
  • Design Google Docs
  • Design a Code Review System
  • Design Netflix
  • Design YouTube
  • Design Spotify
  • Design Uber/Lyft
  • Design Airbnb
  • Design Ticketmaster (Eventbrite)
  • Design an E-commerce Cart, Checkout, and Catalog
  • Design a Payment System
  • Design a Logging and Monitoring System
  • Mock Design Rounds
  • Practice Test: System Design Case Studies
Low-Level Design0/19
  • The LLD Interview Framework and UML
  • OOP Foundations for Design
  • SOLID Principles
  • Creational Patterns
  • Structural Patterns
  • Behavioral Patterns I — Strategy, Observer, Command, State, Template Method
  • Behavioral Patterns II and Anti-Patterns
  • Concurrency in Low-Level Design
  • Design a Parking Lot
  • Design an Elevator System
  • Design a Movie Ticket Booking System
  • Design an Expense-Sharing App (Splitwise)
  • Design a Vending Machine and an ATM
  • Design a Rate Limiter and a Logging Framework
  • Design a Notification Service and an In-Memory Cache
  • Design Games — Tic-Tac-Toe, Snake and Ladder, Chess
  • Database Design for LLD
  • LLD Cheat Sheet and Recall Drill
  • Practice Test: Low-Level Design

Backend

Python0/5
  • How Python Runs Your Code
  • Functions Deep Dive: Closures, Generators, Context Managers, Scope
  • Classes Deep Dive: Method Types, MRO, Metaclasses
  • Standard Library and Serialization
  • Practice Test: Python
Django0/6
  • Django Request Lifecycle
  • Lab: Django Middleware — Request ID & Response Time
  • Django ORM and Querysets
  • Django's Cache Framework
  • Practice Test: Django
  • Django in Production: Debugging Labs
FastAPI0/5
  • FastAPI, ASGI, and Async
  • FastAPI Dependency Injection
  • FastAPI Background Tasks
  • Lab: FastAPI Async — Concurrent Aggregation
  • Practice Test: FastAPI
Databases (PostgreSQL)0/6
  • Indexing
  • Query Optimization
  • Transactions and Isolation
  • Migrations and Schema Changes
  • Hierarchical Data and Safe Concurrent Updates
  • Practice Test: Databases
Caching, Queues & Distributed Systems0/8
  • Redis Caching
  • Redis Advanced Patterns
  • Celery and Background Workers
  • Kafka and Message Queues
  • Async Pipelines
  • Distributed Systems Basics
  • Distributed Locks
  • Practice Test: Caching, Queues and Distributed Systems
APIs, Security & Deployment0/9
  • REST API Design
  • API Versioning and Error Handling
  • API Security and Authentication
  • WebSockets and Real-Time Systems
  • Docker and Containers
  • File Storage with S3
  • Testing Strategies
  • Mock Backend Round
  • Practice Test: APIs, Security and Deployment
Frontend0/38
  • HTML Document Structure and Semantics
  • CSS Box Model, Flexbox and Grid
  • CSS Architecture and Theming
  • CSS and Rendering Performance
  • Variables, Scope, Hoisting, and Truthiness
  • Functions, this, and Binding
  • Objects and Prototypal Inheritance
  • JavaScript Utility Patterns: Cloning, Caching, and Memory
  • Promises From Scratch
  • The Event Loop and Browser Rendering Pipeline
  • The DOM: Nodes, Events, and Traversal
  • Practice Test: HTML, CSS and JavaScript
  • React Rendering Fundamentals
  • React Hooks Internals
  • React Performance
  • Lab: React — Stateful Counter Component
  • State Management
  • State Machines in React
  • React Custom Hooks and Composition Patterns
  • TypeScript for React
  • React Testing
  • Practice Test: React
  • HTTP and Caching
  • Network Performance and Web Vitals
  • Code Splitting and Bundles
  • Virtualization
  • GraphQL and Data Fetching
  • Web Security
  • WebSockets and Real-time
  • SSR and Next.js
  • Micro-frontends
  • Build Tools and Bundling
  • Accessibility
  • Error Handling
  • Internationalization
  • Animation
  • Rapid Recall and Mock Frontend Rounds
  • Practice Test: Performance, Architecture and Production
Behavioral & Interview Day0/14
  • Resume and Project Walkthroughs
  • The STAR Method and Refining Your Stories
  • Conflict and Difficult Coworkers
  • Failures, Incidents, and Obstacles
  • Leadership, Mentorship, and Ownership
  • Teamwork, Communication, and Feedback
  • Growth and Handling Ambiguity
  • Career Goals, Why This Company, and Negotiation
  • Situational Questions
  • Company Research
  • Mock Behavioral Rounds
  • Interview Day
  • After the Interview
  • Practice Test: Behavioral and Interview Day
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Mock Design Rounds

System Design60 min
Sign in to open the interactive design canvas for this exercise.

You've now studied a full set of case studies one at a time, with time to think. A real interview gives you none of that: one prompt, 40 minutes, and someone watching how you think out loud. This lesson is about closing that gap. There is no new system design content here, only the script, the timing, and the rubric for turning what you've learned into something you can actually perform under pressure.

How to run a full 40-minute mock round

Pick any case study from this section and treat it as if you'd never seen it before. Set a timer. The shape below is the same one every lesson in this section already follows, which is exactly the point: the framework should feel automatic by now.

  1. Clarify (2-4 minutes). Ask before you design. What's in scope, what's out? What's the read:write ratio? Is strong consistency required anywhere specific? What's the rough scale? A strong candidate spends this time extracting constraints instead of jumping straight to a diagram, and lets the interviewer's answers shape the design that follows, rather than just going through the motions of asking questions and then ignoring the answers.
  2. State requirements out loud (1-2 minutes). Functional, then non-functional. This is fast because you just clarified it.
  3. Estimate (3-5 minutes). Real numbers: requests/sec, storage, read:write ratio. Say the arithmetic out loud. This number should drive design choices later, not sit unused.
  4. Define the API (2-3 minutes). The contract between client and system. This forces you to nail down what data flows where before you draw boxes.
  5. Design the data model (3-5 minutes). Tables or documents, and which field is the natural sharding or partition key.
  6. Draw the high-level design (5-8 minutes). Boxes and arrows, then narrate the request path through them out loud.
  7. Deep-dive (10-15 minutes). Go deep on whatever the interviewer steers toward, or the single hardest part of the system if they don't steer you anywhere. This is where most of the signal comes from; don't stay shallow here to save time elsewhere.
  8. Trade-offs and follow-ups (3-5 minutes). Name what breaks first, and how you'd fix it. Answer curveballs by adapting your existing design, not restarting from scratch.

Remember: the clock is not your enemy, vague scope is. Almost every mock round that runs out of time ran out because the first five minutes were spent drawing boxes instead of asking questions.

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The 40-minute grading signals: what a strong round actually looks like

Grade yourself, or a study partner, against these signals after every mock round:

  • Time on requirements and estimates stays under about 10 minutes total.
  • You drive the conversation and propose the next step yourself, rather than waiting to be asked "so what's next?"
  • The deep dive gets real detail on one component, a data model, an algorithm, a protocol, not just more boxes on the same diagram.
  • You make at least two explicit "I chose X over Y because Z" statements during the round, not just a list of technologies.
  • You handle a curveball (the interviewer changes a requirement mid-design) by adapting your existing design, not by starting over.

For confident systems, ones you could explain start to finish in under 10 minutes out loud with no pause longer than 3 seconds, that fluency is the actual target for every case study in this section. For weaker areas, the honest goal is different: nail requirements, the API, and the high-level design even if the deep dive is where you slow down. Knowing which of your systems are which is more useful than pretending they're all equally solid.

A general-purpose scoring rubric

Use this rubric for any case study in this section, not just the ones it was originally written for:

  • Asked clarifying questions before designing, and let the answers actually shape the design.
  • Covered both functional and non-functional requirements explicitly, and used the non-functional ones to justify later design choices.
  • Named at least two real trade-offs, with a reasoned pick, not just a list of options.
  • Handled a follow-up ("what if this server dies," "what if traffic goes up 10x") confidently, with a concrete change to the design.
  • Was honest about weaknesses in the design instead of pretending it was complete. A senior answer names what it would do with more time, rather than hand-waving past a gap.

Remember: an interviewer isn't grading whether you can recite a known-good architecture. They're grading whether you can reason about trade-offs live, including admitting where your design is weaker.

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The 15-minute speed round: a warm-up drill

Before a full 40-minute mock, or as a standalone drill, run this fast variant on two different case studies back to back:

  1. State functional and non-functional requirements out loud, 60 seconds.
  2. Draw the high-level box diagram (client, load balancer, service, cache, database), 3-4 minutes.
  3. Name the single hardest part of the system and describe, in two sentences, how you'd approach it, without actually solving it, 2 minutes.
  4. Stop. Move to the next design.

This drills structuring a design under real time pressure without freezing on where to start. Think of it as a warm-up, not a substitute for the full 40-minute round: it builds the habit of moving fast through the parts of the framework that shouldn't take long, so you have more time left for the parts that should.

The hard part, per system: a recap table

For each case study in this section, the interview almost always narrows to one genuinely hard decision. If you can name it from memory before opening the lesson, you've internalized the design.

System The hard part
URL shortener Collision-free code generation at scale (a Key Generation Service beats checking for collisions on every write)
Rate limiter Distributed counting without a single point of failure
Notification service Fan-out to many channels plus delivery and read tracking, without one slow channel blocking the others
Job queue Delivery guarantees (at-least-once, not exactly-once) and what that means for handler design
Chat / messaging Message ordering and delivery guarantees across devices, without the server ever seeing plaintext
Analytics pipeline Reconciling a fast approximate stream with a slow exact batch job for late-arriving data
Multi-tenant SaaS Choosing an isolation model (Pool, Bridge, Silo) and enforcing it at the database layer, not just in code
Social feed / Twitter Fan-out on write vs. fan-out on read for celebrity accounts
Search autocomplete Precomputing top-K per trie node instead of ranking live on every keystroke
File storage (Dropbox) Content-addressed chunking for resume, dedup, and safe ref-counted deletion
Google Docs Choosing and correctly implementing OT or CRDT-based conflict resolution
Code review system Re-validating mergeability atomically at merge time, not trusting a stale display state
Netflix CDN-first delivery and proactive edge placement for a predictable catalog
YouTube Elastic, unpredictable upload and cache demand for a catalog too large to pre-place
Spotify CDN-bound audio delivery plus licensing enforcement that must propagate in seconds
Uber / ride-sharing Real-time geospatial matching (geohash or a quadtree) at scale
Airbnb Preventing double-booking with an atomic database constraint, not a check-then-write
Ticketmaster Converting extreme contention into a controlled admission queue, not just rate limiting
E-commerce cart/checkout A crash-safe checkout state machine that survives an external payment call it can't roll back
Payment system Idempotency at two layers, plus an immutable audit log as the real source of truth
Logging/monitoring Never letting the write path block the very applications it's observing

Trade-offs and follow-up questions

Q: How do I know if I'm ready to stop drilling and just take the real interview? A: When you can run the 40-minute script on any case study in this section without checking notes, and your deep dive consistently goes into real detail rather than staying at the box-diagram level. If you're still pausing to remember requirements or the API shape, that's a sign to run a few more speed rounds on that specific system, not the whole section again.

Q: The interviewer keeps interrupting with follow-up questions before I finish my planned structure. Is that a bad sign? A: No. Interviewers change a requirement mid-design specifically to see whether you adapt your existing design or panic and restart. Treat an interruption as a chance to show that skill, not as a derailment. Adjust the part of the design the new constraint actually affects, and say out loud what changes and why.

Q: I finished a design in 25 minutes with time to spare. Did I move too fast? A: Probably. Extra time almost always means the deep dive was too shallow. Use remaining time to go one level deeper into whatever component you glossed over, discuss a second failure mode, or walk through a concrete numeric example, rather than just stopping early.

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Course progress

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On this page

  • How to run a full 40-minute mock round
  • The 40-minute grading signals: what a strong round actually looks like
  • A general-purpose scoring rubric
  • The 15-minute speed round: a warm-up drill
  • The hard part, per system: a recap table
  • Trade-offs and follow-up questions