Choose a Subject

Explore detailed roadmaps for programming languages and core CS subjects. Start your journey at Beginner level, grow to Intermediate, and finally master Advanced concepts.

6-12 months

Pyhton

A beginner-friendly language for data, AI, and web development.

10-18 months

Java

A powerful, object-oriented programming language widely used for enterprise applications, Android, and backend development.

6-10 months

C

A foundational programming language for system programming, embedded systems, and performance-critical applications.

8-14 months

C++

A high-performance, object-oriented programming language widely used for system programming, game engines, and competitive programming.

6-12 months

JavaScript

JavaScript is the language of the web. It powers interactivity in websites, web apps, and is now used in backend (Node.js), mobile, and even desktop apps.

9-15 months

Data Structure & Algorithm

DSA (Data Structures & Algorithms) builds problem-solving and optimization skills for coding interviews, CP, and real-world systems.

9-18 months

Machine Learning

Machine Learning is a subset of AI that focuses on building systems that learn from data to make predictions or decisions.

4-8 months

Database Management System

Database Management Systems (DBMS) are software systems that manage data efficiently, ensuring security, consistency, and concurrent access.

8-12 months

Data Science

Data Science combines statistics, programming, and domain expertise to extract insights and build predictive models from data.

9-15 months

Web Development

Learn how to build modern, scalable, and responsive websites and applications using frontend, backend, and full-stack technologies.

8-12 months

MERN Stack Development

Master full-stack development using MongoDB, Express.js, React, and Node.js. Learn to build scalable, production-ready web applications.

9-15 months

Cloud Computing

Master Cloud Computing fundamentals, services, and deployment models. Learn AWS, Azure, GCP, DevOps practices, and advanced cloud-native architecture.

9-18 months

AI & LLMs

Master Artificial Intelligence, Machine Learning, Deep Learning, and Large Language Models (LLMs) including transformers, fine-tuning, and deployment.

9-15 months

Cyber Security

Learn the fundamentals of Cyber Security, Ethical Hacking, Network Security, Cryptography, Cloud & Application Security, and advanced Threat Intelligence.

8-12 months

DevOps

Learn how to integrate development and operations by mastering CI/CD, cloud, automation, monitoring, and infrastructure as code.

6-10 months

Operating System

Learn how operating systems work: process management, memory management, file systems, concurrency, and advanced OS concepts.

6-12 months

Software Engineering

Learn the principles of software engineering including SDLC, design patterns, requirements engineering, testing, project management, and advanced practices.

6-10 months

Computer Networks

Learn computer networking fundamentals, OSI & TCP/IP models, routing, switching, protocols, network security, and advanced distributed systems concepts.

6-12 months

Data Engineering

Learn how to design, build, and manage large-scale data pipelines, warehouses, and big data systems for analytics and AI.

6-12 months

Blockchain & Web3

Learn blockchain fundamentals, smart contracts, Ethereum, dApps, DeFi, NFTs, and Web3 security for decentralized application development.

6-12 months

UI/UX & Frontend Engineering

Master design principles, user experience, and frontend engineering with modern frameworks to build engaging and accessible applications.

6-12 months

System Design

Learn how to design scalable, reliable, and efficient systems. Covers fundamentals, distributed systems, scalability patterns, and real-world case studies.

5-10 months

Computer Architecture

Learn how computers are structured internally, covering processors, memory, instruction sets, pipelining, and modern architectures.

5-9 months

Compiler Design

Learn how compilers translate high-level code into machine code. Covers lexical analysis, parsing, semantic analysis, intermediate code generation, optimization, and runtime environments.