Curriculum
A structured path from your first line of code to designing scalable systems. Each module includes interactive lessons with code you can run in Python, JavaScript, C++, and Java.
Programming Fundamentals
Start your coding journey. Learn variables, control flow, functions, and debugging — the building blocks of every program.
Understand what programming is, how computers execute instructions, and write your very first program.
Learn how to store and manipulate data using variables. Understand strings, numbers, booleans, and type systems.
Make your programs smart with if/else decisions and powerful with loops that repeat actions.
Organize your code into reusable functions. Learn parameters, return values, and scope.
Data Structures — Linear Collections
Master arrays, linked lists, stacks, and queues. Understand Big-O notation and choose the right structure for any problem.
Object-Oriented Design
Model real-world systems with classes, inheritance, and polymorphism. Apply SOLID principles to write maintainable code.
Trees, Graphs & Hashing
Implement binary trees, BSTs, heaps, hash tables, and graphs. Learn traversals and solve connected-component problems.
Algorithms — Sorting & Recursion
Implement merge sort, quicksort, binary search, and backtracking. Analyze complexity with recurrence relations.
Databases & SQL
Design normalized schemas, write complex SQL queries, understand indexing, and compare SQL vs NoSQL approaches.
Full-Stack Web Development
Build RESTful APIs, responsive frontends, and connect everything to a database. Deploy a working web application.
Software Engineering Practices
Write effective tests, use Git workflows, set up CI/CD pipelines, and conduct code reviews like a professional.
Advanced Algorithms
Tackle dynamic programming, shortest-path algorithms, minimum spanning trees, and NP-completeness.
Systems Programming & Concurrency
Understand memory management, threads, synchronization, and async I/O. Build concurrent applications that don't deadlock.
System Design & Architecture
Design scalable distributed systems. Learn caching, load balancing, message queues, and designing for failure.
Capstone Project
Execute the full software lifecycle: requirements, design, implementation, testing, deployment, and monitoring.