Zero → Offer learning path

The Roadmap

Thirteen levels, in reading order. Start wherever your knowledge ends: Level 0 assumes you have never written a line of code. Linked topics are ready to read; dimmed ones are planned and light up as content lands. Projects and cheat sheets run alongside every level.

  1. 0
    Level 0 — Absolute Beginner
    Basics
    8/8 ready

    Understand what computers, the internet, websites, APIs, databases and the cloud actually are — no prior knowledge assumed.

    How computers workThe internetWebsites & browsersFrontend vs backendWhat is an API?What is a database?What is the cloud?How code runs
  2. 1
    Level 1 — Programming Fundamentals
    Programming
    10/10 ready

    Write real programs in Python, Java and C++ — variables, control flow, functions, OOP, errors and collections.

    Choosing a languageVariables & data typesControl flowFunctionsRecursionMemory managementOOP basicsExceptions & errorsCollectionsFile handling
  3. 2
    Level 2 — Data Structures
    DSA
    10/10 ready

    Know every core data structure — what it is, when to reach for it, and its complexity — in all three languages.

    Arrays & stringsLinked listsStacks & queuesHash tablesTrees & BSTsHeaps & intervalsTriesGraphsUnion-FindSegment & Fenwick trees
  4. 3
    Level 3 — Algorithms & Patterns
    DSA
    9/9 ready

    Recognize the pattern behind a problem in seconds: pointers, windows, search, recursion, greedy and DP.

    Sorting & searchingTwo pointersSliding windowBinary searchBacktrackingGreedyDynamic programmingDP patterns in depthString algorithms
  5. 4
    Level 4 — DSA Interview Prep
    DSA
    5/6 ready

    Turn knowledge into offers: a study plan, a curated problem bank, and the classic lists solved pattern-first.

    Study planProblem bankAlgorithms in your projectsBlind 75 walkthroughNeetCode 150 walkthroughMock-interview drills
  6. 5
    Level 5 — Low-Level Design
    Low-Level Design
    15/15 ready

    Design clean classes under interview pressure: OOP, SOLID, patterns and the classic machine-coding problems.

    OOP & SOLIDDesign patternsApplied patternsAPI designParking lotLRU cacheElevator systemSplitwiseBookMyShowPatterns in depth (creational/structural)Library systemATMNotification systemChat system (WhatsApp LLD)Uber (LLD)
  7. 6
    Level 6 — High-Level Design
    System Design
    17/17 ready

    Design systems that scale: estimation, caching, queues, replication — then full designs of real products.

    Interview approachScalabilityCachingDatabases at scaleMessaging & queuesRate limitingCAP & consistencyCase: ingestion pipelineCase: realtime pricingDesign WhatsAppDesign NetflixDesign InstagramDesign YouTubeDesign UberDesign Twitter/XDesign Google DriveScaling journey: 100 → 1B users
  8. 7
    Level 7 — Backend Development
    Backend
    11/11 ready

    Build production APIs: Node.js, Spring Boot and FastAPI with auth, REST, GraphQL, WebSockets and microservices.

    Node.js & ExpressJava Spring BootPython FastAPIAuthN & AuthZ (JWT, OAuth)REST & GraphQLWebSocketsMicroservicesKafka & RabbitMQAPI gateway & service discoveryDistributed locksDDD & modular monoliths
  9. 8
    Level 8 — Frontend Development
    Frontend
    5/5 ready

    Ship polished UIs: HTML, CSS, JavaScript, TypeScript, React and Next.js, from a blank page to a SaaS product.

    HTML & CSSJavaScriptTypeScriptReactNext.js
  10. 9
    Level 9 — Databases in Depth
    Databases · Fundamentals
    6/9 ready

    Go beyond CRUD: indexing, query plans, transactions, locks, replication and sharding in SQL and NoSQL.

    SQL fundamentalsPostgreSQL & MySQLMongoDB & RedisIndexing & optimizationTransactions & locksDBMS for interviewsMVCCThe query optimizerEvent sourcing & CQRS
  11. 10
    Level 10 — Cloud & DevOps
    Cloud & DevOps
    6/6 ready

    Deploy and run software like a real team: AWS, Docker, Kubernetes, CI/CD pipelines and infrastructure as code.

    Cloud platforms (AWS/Azure/GCP)DockerKubernetesCI/CDTerraformObservability
  12. 11
    Level 11 — AI & Machine Learning
    AI & ML
    9/10 ready

    Understand and build with modern AI: ML foundations, neural networks, LLMs, RAG, agents and vector databases.

    AI vs ML vs deep learningMath foundationsClassical MLNeural networksTransformersLLMsRAGAgentsVector databasesFine-tuning
  13. 12
    Level 12 — Career Preparation
    Career · Behavioral
    7/7 ready

    Convert skill into offers: resume, LinkedIn, behavioral mastery, mock loops and salary negotiation.

    Resume & LinkedInBehavioral frameworkSTAR storiesCommon questionsMock interviewsSalary negotiationThe engineering ladder