Master the Core Concepts • Build Strong Foundations • Excel in Technical Interviews
Comprehensive learning path covering essential computer science topics from basic algorithms to advanced system design. Perfect for students, self-taught programmers, and professionals looking to strengthen their CS foundations.
Master essential algorithms (sorting, searching, graph algorithms) and data structures (arrays, linked lists, trees, hash tables, heaps). Includes time/space complexity analysis, implementation patterns, and when to use each structure.
Learn how to design scalable systems from scratch. Covers load balancing, caching, databases, microservices, and distributed system concepts. Essential for senior engineering roles and system design interviews.
Understand processes, threads, memory management, file systems, and CPU scheduling. Learn how operating systems manage resources and provide services to applications. Critical for system programming and performance optimization.
Comprehensive coverage of relational databases, SQL optimization, ACID properties, normalization, indexing, and transaction management. Also covers NoSQL databases, CAP theorem, and modern database architectures.
Deep dive into networking fundamentals: TCP/IP, HTTP/HTTPS, DNS, routing, and network security. Understand how modern internet infrastructure works and how to build network-aware applications.
Explore P vs NP, complexity classes, reducibility, and approximation algorithms. Understand the theoretical foundations of computer science and why some problems are inherently difficult to solve.
Learn how programming languages are implemented: lexical analysis, parsing, semantic analysis, code generation, and optimization. Build your own interpreter and understand language design principles.
Master multi-threading, parallel algorithms, synchronization, deadlock prevention, and performance optimization. Essential for modern multi-core systems and high-performance computing.
Explore 3D graphics, rendering algorithms, computer vision, and visualization techniques. Learn OpenGL, shader programming, and the mathematics behind computer graphics.
Understand encryption algorithms, digital signatures, hash functions, and security protocols. Learn how to build secure systems and protect against common vulnerabilities.
Step-by-step guide to implementing a simple relational database from scratch. Learn storage engines, query processing, indexing, and transaction management by building working code.
Create a minimal operating system kernel with process management, memory allocation, and file system support. Understand OS internals through hands-on implementation.
Build a complete compiler for a simple programming language. Covers lexing, parsing, semantic analysis, code generation, and optimization techniques.
Implement a distributed hash table with consistent hashing, replication, and fault tolerance. Learn distributed systems concepts through practical implementation.
Master common algorithm patterns: sliding window, two pointers, dynamic programming, backtracking, and graph traversals. Includes 200+ practice problems with detailed solutions.
Comprehensive preparation for system design interviews. Learn the systematic approach to designing large-scale systems like Twitter, Instagram, and Netflix.
Prepare for behavioral interviews with the STAR method. Covers leadership scenarios, conflict resolution, project management, and career growth questions.
Tailored preparation guides for top tech companies: Google, Meta, Amazon, Microsoft, Apple, Netflix. Includes company culture, common questions, and insider tips.