Interactive Library Catalog

Master database management from the ground up with this comprehensive guide to SQL. Learn essential querying techniques, advanced table joins, and powerful data manipulation functions using SQL Server and SSMS.

Master modern static typing in JavaScript development through a comprehensive exploration of TypeScript. Learn foundational concepts, advanced generics, object-oriented programming, and seamless integration with React while building robust, enterprise-grade web applications.

Master advanced JavaScript internals and ace technical interviews with this in-depth guide to asynchronous programming, promises, and execution contexts. Gain a rock-solid understanding of core mechanics like closures, promise APIs, and the 'this' keyword to build robust web applications with confidence.

Created by Mukul Raina (Senior Software Engineer & Tech Lead at Microsoft, Oxford MSc), this course uses a ride-sharing platform (Uber-like) as the primary case study to walk you through the complete system design interview process. It covers requirements scoping (functional/non-functional, graceful degradation, consistency tiers), capacity estimation (1.25M GPS writes/sec, ride requests, storage/bandwidth, peak-to-average scaling), high-level architecture (API Gateway vs WebSocket Gateway, Matching Service with spatial indexing, Pricing/Surge logic, Kafka event bus, service boundaries), data flow & state machine (ride matching E2E, trip state transitions, race conditions, latency budgets), database design (Database Per Service, PostGIS for geospatial, Redis for real-time positions, time-series location storage, geographic sharding, indexing strategies), and API design (REST endpoints, WebSocket events, JWT authentication, tiered rate limiting, pagination, versioning). The course includes interview frameworks (4-minute requirements, 2-minute estimation, 5-move database presentation) and common mistakes—equipping you to ace Uber/ride-sharing system design problems at FAANG and beyond.

Master the core fundamentals and hidden mechanics of JavaScript by exploring execution contexts, closures, the event loop, and asynchronous programming. This comprehensive guide equips developers with deep engine-level insights to write optimized code and ace front-end interviews.

Master Java programming from absolute beginner to advanced concepts with this comprehensive guide. Learn essential fundamentals, object-oriented programming principles, memory management, and practical software engineering techniques required for professional placements and technical interviews.

Master data structures and algorithms efficiently by focusing on 25 proven patterns rather than memorizing hundreds of random problems. Learn to identify core technical concepts, apply optimized solutions, and successfully crack coding interviews at top-tier technology companies.

Master low-level design (LLD) and write production-ready, scalable code. This comprehensive guide bridges the gap between object-oriented theory and practical implementation, covering SOLID principles, design patterns, and UML modeling. Through hands-on projects like building a notification engine and document editor, you will develop the clean-coding habits and architectural intuition needed to ace elite backend engineering interviews.

Architect a production-ready, distributed IoT energy tracking platform using Spring Boot microservices. You will master event-driven streaming with Apache Kafka, time-series data storage in InfluxDB, and centralized security using Keycloak OAuth2. Gain enterprise-grade engineering skills by implementing resilient circuit breakers, local AI insights with Ollama, end-to-end observability, and robust Testcontainers integration testing.

Master large-scale distributed architecture by tackling essential system design interview questions, from URL shorteners and global video streaming platforms to real-time chat applications and high-frequency trading engines. You will learn to architect resilient, high-performance systems by strategically applying core primitives like load balancers, distributed caches, sharding, and the CAP theorem through structured, real-world case studies.

Master the architectural blueprints of high-scale distributed systems. This comprehensive guide covers critical fundamentals from load balancing and consistent hashing to message queues, database sharding, and microservices. Through real-world case studies like Tinder, you will learn to design resilient, event-driven architectures, draft precise API contracts, perform capacity planning, and confidently ace your next system design interview.