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💻 Software EngineeringBeginner LevelEvidence-Based Skill Profile

Hands-on Mastery in API and Backend Engineering

Master REST & GraphQL API architecture, HTTP/HTTPS protocols, middleware pipelines, PostgreSQL persistence, JWT auth, Redis caching, and microservices with an interactive Socratic AI coach.

28 Modules • 5 Production Projects
28 Modules
AI FearFilter Faculty

What You Will Learn

Deconstruct client-server architecture using the restaurant kitchen model, mapping HTTP verbs, headers, status codes, and DNS resolution to backend processes.
Master REST architectural constraints and design idempotent, standardized API endpoints returning precise HTTP status codes and JSON payloads.
Secure API backends against OWASP Top 10 vulnerabilities with bcrypt hashing, JWT access/refresh tokens, and Role-Based Access Control (RBAC).
Enforce strict server-side input validation and data sanitization using Zod schemas and centralized 4-argument error-handling middleware.
Design normalized relational database schemas in PostgreSQL, manage connection pools, and prevent SQL injection via parameterized queries.
Eliminate database bottlenecks by deploying Redis in-memory caching with Cache-Aside, TTL policies, and automated invalidation.
Offload resource-intensive workloads from HTTP threads to asynchronous background queues using BullMQ and message brokers.
Complete 5 production portfolio projects and pass the comprehensive Module 28 Capstone Challenge evaluated by the AI Agent.

Curriculum & Weekly Roadmap

28 Structured Modules

Module 1 — Backend Engineering Fundamentals

  • 1.1 Client-Server Architecture & The Restaurant Kitchen Model
  • 1.2 Core Responsibilities of the Backend Server
  • 1.3 Anatomy of a Backend Execution Lifecycle
  • 1.4 Monolithic vs Distributed Architecture Basics

Module 2 — How the Web and Backend Work

  • 2.1 Domain Name System (DNS) & IP Resolution
  • 2.2 TCP/IP Handshake & Transport Layer Basics
  • 2.3 Port Multiplexing & Socket Bindings
  • 2.4 Packet Flow from Browser to Backend Application

Module 3 — HTTP, HTTPS, Request-Response Lifecycle

  • 3.1 Anatomy of an HTTP Request (Method, Path, Headers, Body)
  • 3.2 Anatomy of an HTTP Response (Status, Headers, Payload)
  • 3.3 HTTP/1.1 vs HTTP/2 vs HTTP/3 Protocol Evolution
  • 3.4 TLS/SSL Encryption & Certificate Handshakes

Module 4 — API Architecture and REST Core Principles

  • 4.1 What is an API? The Waiter Mental Model
  • 4.2 Roy Fielding's REST Architectural Constraints
  • 4.3 Statelessness & Uniform Resource Interfaces
  • 4.4 Designing Clean, Resource-Oriented URIs

Module 5 — HTTP Methods, Status Codes, and Headers

  • 5.1 HTTP Method Semantics (GET, POST, PUT, PATCH, DELETE)
  • 5.2 Idempotency & Safety Guarantees
  • 5.3 Mastering Status Codes: 2xx, 3xx, 4xx, 5xx
  • 5.4 Essential Headers: Authorization, Content-Type, Cache-Control

Module 6 — Data Serialization, JSON, and Payloads

  • 6.1 Data Interchange: JSON vs XML vs Protocol Buffers
  • 6.2 JSON Serialization & Deserialization Mechanics
  • 6.3 Handling Binary Data & Buffers in Node.js
  • 6.4 Safe JSON Parsing & Circular Reference Defense

Module 7 — Authentication and Authorization Fundamentals

  • 7.1 Authentication vs Authorization (Showing ID vs Checking Permissions)
  • 7.2 Password Security & bcrypt Hashing Rounds
  • 7.3 JSON Web Tokens (JWT): Header, Payload, Signature
  • 7.4 Role-Based Access Control (RBAC) Architecture

Module 8 — Input Validation, Sanitization, and Error Handling

  • 8.1 The Golden Rule: Never Trust Client Input
  • 8.2 Schema Validation with Zod & Type Inference
  • 8.3 Sanitizing String Inputs against Injection
  • 8.4 Centralized 4-Argument Express Error Handlers

Module 9 — Backend Architecture (Layered, MVC, Services)

  • 9.1 Separation of Concerns & 3-Tier Layered Architecture
  • 9.2 Controllers: Parsing HTTP & Returning Responses
  • 9.3 Services: Pure Domain Business Logic
  • 9.4 Repositories: Database Abstraction & Persistence

Module 10 — Routing, Request Dispatching, and Controllers

  • 10.1 Radix-Tree Route Matching & URL Dispatching
  • 10.2 Path Parameters (:id) vs Query Strings (?page=1)
  • 10.3 Modular Route Architecture with express.Router
  • 10.4 Controller Action Methods & Dependency Injection

Module 11 — Databases in Backend Engineering (SQL & NoSQL)

  • 11.1 The Storage Room: Relational vs Document Stores
  • 11.2 ACID Properties & Transactional Integrity
  • 11.3 Database Connection Pooling & Resource Limits
  • 11.4 Choosing the Right Persistence Model

Module 12 — Relational Modeling and SQL Fundamentals

  • 12.1 Relational Schema Normalization (1NF, 2NF, 3NF)
  • 12.2 Primary Keys, Foreign Keys & Constraints
  • 12.3 Querying with SELECT, WHERE, GROUP BY, and JOINs
  • 12.4 Parameterized Queries & SQL Injection Immunity

Module 13 — Building Production-Ready CRUD Endpoints

  • 13.1 Creating Resources: POST with 201 & Location Header
  • 13.2 Reading Resources: GET 200 vs 404 Not Found
  • 13.3 Updating Resources: PUT vs PATCH Semantics
  • 13.4 Deleting Resources: DELETE with 204 No Content

Module 14 — Middleware Pipelines and Interceptors

  • 14.1 The Security Checkpoint: Onion Middleware Architecture
  • 14.2 The next() Chain & Asynchronous Flow Control
  • 14.3 Request Timing & Correlation ID Middleware
  • 14.4 Cross-Origin Resource Sharing (CORS) Security

Module 15 — API Security Best Practices and OWASP Top 10

  • 15.1 OWASP API Top 10 Threat Landscape
  • 15.2 Broken Object Level Authorization (BOLA/IDOR)
  • 15.3 Broken Authentication & Credential Stuffing
  • 15.4 Mass Assignment & Excessive Data Exposure Mitigation

Module 16 — API Testing Strategies and Automation

  • 16.1 The API Testing Pyramid: Unit, Integration, E2E
  • 16.2 Writing Integration Tests with Supertest & Vitest
  • 16.3 Asserting HTTP Status Codes, Headers, and Payloads
  • 16.4 Test Database Isolation & Mocking Strategies

Module 17 — API Documentation and Contracts (OpenAPI/Swagger)

  • 17.1 API-First Design vs Implementation-First
  • 17.2 OpenAPI 3.0 Specification Anatomy
  • 17.3 Documenting Paths, Query Params, and Responses
  • 17.4 Serving Interactive Swagger UI Documentation

Module 18 — API Versioning and Evolution

  • 18.1 Backward Compatibility & Breaking Changes
  • 18.2 URI Path Versioning (/api/v1 vs /api/v2)
  • 18.3 Header vs Query Parameter Versioning
  • 18.4 Sunsetting APIs: Deprecation & Sunset Headers

Module 19 — Pagination, Filtering, and Sorting at Scale

  • 19.1 Offset & Limit Pagination Pitfalls with Large Data
  • 19.2 Keyset Cursor-Based Pagination Implementation
  • 19.3 Multi-Column Sorting & Deterministic Order
  • 19.4 Dynamic SQL Filter Builders & Query Sanitization

Module 20 — File Handling, Streaming, and Cloud Storage

  • 20.1 Multipart Form-Data & Multer File Uploads
  • 20.2 Streaming File Pipelines with Node.js pipe()
  • 20.3 Magic Byte Validation & File Type Verification
  • 20.4 Uploading Directly to Cloud Storage (AWS S3 Pre-Signed URLs)

Module 21 — Caching Strategies and Redis Integration

  • 21.1 In-Memory Caching & Database Offloading
  • 21.2 The Cache-Aside Pattern & TTL Expiration
  • 21.3 Cache Invalidation: The Hardest Problem in Computer Science
  • 21.4 Redis Commands: GET, SETEX, DEL, and Hashes

Module 22 — Logging, Observability, and Metrics

  • 22.1 Why console.log Fails in Production
  • 22.2 Structured JSON Logging with Pino & Winston
  • 22.3 Distributed Request Tracing with X-Request-ID
  • 22.4 The RED Method: Rate, Errors, and Duration Metrics

Module 23 — Asynchronous Jobs and Message Queues

  • 23.1 Blocking HTTP Request vs Background Workers
  • 23.2 Message Queue Paradigms (Producer, Broker, Consumer)
  • 23.3 Job Processing with Redis Streams & BullMQ
  • 23.4 Exponential Retries, Backoffs, and Dead-Letter Queues

Module 24 — Webhooks and Event-Driven Integrations

  • 24.1 Push vs Poll: How Webhooks Deliver Real-Time Events
  • 24.2 Designing Outgoing Webhook Dispatch Systems
  • 24.3 Verifying Incoming Webhooks with HMAC SHA-256
  • 24.4 Webhook Idempotency & Replay Attack Defense

Module 25 — Rate Limiting and DoS Defense

  • 25.1 Protecting APIs from Abuse, Scrapers & DoS Attacks
  • 25.2 Token Bucket vs Sliding Window Counter Algorithms
  • 25.3 Distributed Rate Limiting with Redis & Lua Scripts
  • 25.4 Returning 429 Too Many Requests & Retry-After Headers

Module 26 — Microservices, Gateways, and Distributed Systems

  • 26.1 Monoliths to Microservices: Architectural Trade-Offs
  • 26.2 API Gateway Pattern: Routing, Auth, Rate Limiting
  • 26.3 Reverse Proxies with Nginx & Envoy
  • 26.4 Resilient Distributed Systems: Circuit Breaker Pattern

Module 27 — Containerization, Docker, and CI/CD

  • 27.1 Containerization vs Virtual Machines
  • 27.2 Authoring Multi-Stage Production Dockerfiles
  • 27.3 Running as Non-Root User & Security Hardening
  • 27.4 Automated Testing & Linting CI/CD Pipelines

Module 28 — Production Deployment, Monitoring, and Capstone Architecture

  • 28.1 Zero-Downtime Rolling Updates & Health Checks
  • 28.2 Graceful Shutdown Handling (SIGTERM & SIGINT)
  • 28.3 Production Capstone Architecture: Distributed API Gateway
  • 28.4 Capstone Challenge Evaluation by API Backend AI Agent

Who This Course Is For

Aspiring Backend Engineers, API Developers, Full-Stack Engineers, Systems Architects, and CS Students looking to master production API design, relational persistence, in-memory caching, async queues, and distributed deployment.

Key Skills Developed:

API Foundations, HTTP Protocols & RESTful ContractsHTTP/HTTPS Wire Protocol, Headers & Status Code SemanticsREST Architectural Constraints & Idempotent API DesignJSON Serialization, Binary Buffers & Schema GuardsStateless Authentication, Password Hashing (bcrypt) & JWT/RBACInput Validation & Sanitization with Zod Schemas3-Tier Layered Architecture (Controllers, Services, Repositories)PostgreSQL Relational Persistence, Pooling & Parameterized SQLHigh-Throughput In-Memory Caching with Redis & Cache-AsideAsynchronous Job Queuing with BullMQ & Dead-Letter QueuesRate Limiting & Defensive Security against OWASP Top 10Production Distributed Microservices & REST API Gateway Capstone Challenge

Course Faculty & Development

AI FearFilter Faculty

Backend & Systems Engineering Team

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