Master Data Structures and Algorithms from the fundamentals to advanced topics. This comprehensive path covers everything from arrays and strings to dynamic programming, graphs, and advanced data structures with 28 chapters and 270+ modules.

Master High-Level System Design from fundamentals to designing real-world systems like YouTube, WhatsApp, and Uber. This comprehensive path covers distributed systems, databases, caching, scalability, reliability, and interview preparation with 44 chapters and 270+ modules.

Master Low-Level System Design from OOP fundamentals to designing real-world systems like Parking Lots, Chess Games, and Ride-Sharing Services. This comprehensive path covers SOLID principles, design patterns, DDD, architecture, and interview preparation with 36 chapters and 240+ modules.

Master Database Management Systems from foundational concepts to advanced topics like distributed databases, NoSQL, and data warehousing. This comprehensive path covers relational model, SQL, normalization, transactions, recovery, indexing, and query processing with 48 chapters and 1260+ pages.

Master Computer Networks from fundamentals to advanced protocols. This comprehensive path covers the OSI model, TCP/IP, routing, switching, network security, and modern networking with 46 chapters and 1200+ pages.

Master Operating Systems from fundamentals to advanced concepts. This comprehensive path covers processes, threads, memory management, file systems, I/O, virtualization, and distributed systems with 47 chapters and 1201+ pages.

Master Machine Learning from mathematical foundations to cutting-edge deep learning. This comprehensive path covers linear algebra, probability, classical ML algorithms, neural networks, and modern techniques with 61 chapters and 1389+ pages.

Master Data Structures and Algorithms through 15 chapters of coding patterns. From Two Pointers to Dynamic Programming, this path covers 320 carefully curated problems organized by technique for optimal learning progression.

Master Machine Learning from fundamentals to advanced techniques through 19 comprehensive chapters. This path covers 316 carefully curated problems spanning linear algebra, probability, classical ML, deep learning, reinforcement learning, and more.