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Production Debugging: Fix Real Bugs in a Live-Looking AppThe Engineering Playbook45-Day Interview Preparation Bootcamp

45-Day Interview Preparation Bootcamp

intermediate

A full-stack engineer interview preparation track (3+ years experience), split into independent subjects you can study in any order or pick just the ones your own interview loop covers. Data Structures & Algorithms covers every core pattern from arrays to dynamic programming with practice tests along the way. System Design starts with the foundations (estimation, caching, sharding, CAP, messaging, consensus, resilience) and builds up to full case-study designs of real products. Low-Level Design covers OOP, SOLID, the classic design patterns, and building systems like a parking lot or an elevator from scratch. Backend goes deep on Python, Django, FastAPI, PostgreSQL, Redis and queues, and API design. Frontend covers JavaScript and CSS fundamentals through React internals, performance, and TypeScript. Behavioral prep covers STAR stories, company research, and interview-day logistics. Every subject ends with mock interview rounds and a rubric to grade yourself against.

By Nayan Jaiswal · 13 sections · 177 lessons

Start Here

  • How to Use This Course

Data Structures & Algorithms

  • Arrays and Hashing
  • Two Pointers
  • Sliding Window
  • Sliding Window: Harder Problems
  • Binary Search
  • Stacks
  • Practice Test: Arrays, Pointers, Windows, Search and Stacks

Foundations

  • 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

Case Studies

  • 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

Low-Level Design

  • 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

Python

  • 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

Django

  • 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

FastAPI

  • FastAPI, ASGI, and Async
  • FastAPI Dependency Injection
  • FastAPI Background Tasks
  • Lab: FastAPI Async — Concurrent Aggregation
  • Practice Test: FastAPI

Databases (PostgreSQL)

  • Indexing
  • Query Optimization
  • Transactions and Isolation
  • Migrations and Schema Changes
  • Hierarchical Data and Safe Concurrent Updates
  • Practice Test: Databases

Caching, Queues & Distributed Systems

  • Redis Caching
  • Redis Advanced Patterns
  • Celery and Background Workers
  • Kafka and Message Queues
  • Async Pipelines
  • Distributed Systems Basics
  • Distributed Locks

APIs, Security & Deployment

  • 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

Frontend

  • 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

Behavioral & Interview Day

  • 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
Start learning
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
  • 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
  • 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
  • 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
  • Practice Test: Caching, Queues and Distributed Systems
    Mock Backend Round
  • Practice Test: APIs, Security and Deployment
  • 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
  • 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