What Will You Learn?

• Node.js Core Architecture: Understand the engine powering LinkedIn, Uber, and PayPal's backends. Master the event loop, streams, buffers, cluster module, and npm ecosystem — building a mental model of how Node.js handles thousands of concurrent requests.
• Express.js Framework: Build production-grade web servers with Express. Learn routing, middleware architecture, error handling, and the MVC pattern — the foundation of every Node.js API you'll ever build professionally.
• Database Mastery: MongoDB & PostgreSQL: Command both NoSQL and relational databases. Design schemas, write optimised queries, use Mongoose ODM, implement database indexing, and understand when to use which database — a rare skill.
• API Design: REST & GraphQL: Design APIs that developers love. Build RESTful services following industry conventions, implement GraphQL for flexible data fetching, document APIs professionally, and version them correctly.
• Authentication & Security: Protect applications and users. Implement JWT tokens, OAuth2 flows, password hashing with bcrypt, rate limiting, CORS policies, and SQL injection prevention — non-negotiable skills for any backend role.
• Redis Caching & WebSockets: Build fast, real-time applications. Implement Redis for high-performance caching and session management. Build real-time features with WebSockets and Socket.IO — chat systems, live dashboards, collaborative tools.
• Testing with Jest & Mocha: Ship code you trust. Write comprehensive unit tests, integration tests, and API tests using Jest and Mocha. Understand TDD and why tested code is the mark of a professional engineer.
• DevOps: Docker & CI/CD: Containerise and automate deployments. Package applications in Docker, manage environments, and build CI/CD pipelines — skills that make backend developers significantly more employable.
• DSA: Foundations: Build problem-solving fluency. Arrays, strings, linked lists, stacks, and queues — mastered not just theoretically but through timed problem-solving practice on the platforms companies actually use for screening.
• DSA: Trees, Graphs & Advanced Structures: Tackle the interview questions that filter candidates ruthlessly. Binary trees, BSTs, heaps, tries, graph traversal (BFS/DFS), and topological sorting — the data structures that separate average candidates from hired ones.
• DSA: Algorithms: Develop the algorithmic instinct. Sorting and searching algorithms, divide and conquer, greedy algorithms, dynamic programming, backtracking — solved with pattern recognition, not memorisation.
• Coding Challenge Programme: Weekly live sessions on LeetCode and HackerRank — timed practice, problem discussion, and interview simulation that builds the speed and confidence technical rounds demand.