Beginner → Job-ready
An exam-focused learning path aligned to the official GATE Computer Science and Information Technology subject structure: General Aptitude, Engineering Mathematics, Digital Logic, Computer Organization and Architecture, Programming and Data Structures, Algorithms, Theory of Computation, Compiler Design, Operating Systems, Databases, and Computer Networks. Each subject becomes independently enrolable only after its complete assessed course is published.
Use this overview to understand the sequence. Open each stage below for course details.
Included published courses are activated together. Your course certificates remain individual, and completing every required certified course unlocks the roadmap distinction.
Required courses build the core skill. Optional courses let you specialise.
Develop verbal, quantitative, analytical, and spatial aptitude for the common GATE section.
Prepare verbal, quantitative, analytical, and spatial aptitude through structured concepts and assessed practice.
Build the discrete mathematics, linear algebra, calculus, probability, and statistics foundation used across GATE CS.
Study discrete mathematics, linear algebra, calculus, probability, and statistics for computer science problem solving.
This sample mirrors the issued certificate. Your name, verified results, QR code, and verification ID appear only after every required course certificate is earned.
Study Boolean algebra, number representations, computer arithmetic, and combinational and sequential circuits.
Learn Boolean algebra, circuit minimisation, sequential logic, number systems, and computer arithmetic.
Understand processor datapaths, control, pipelining, memory hierarchy, storage, interrupts, DMA, and I/O.
Work through machine instructions, datapaths, control, pipelines, memory hierarchy, storage, and I/O.
Practise C programming, recursion, arrays, linked structures, stacks, queues, trees, heaps, and graphs.
Use C programming and recursion while implementing the data structures named in the official syllabus.
Analyse complexity and apply searching, sorting, hashing, greedy, dynamic programming, divide-and-conquer, and graph algorithms.
Analyse time and space and solve searching, sorting, hashing, design-technique, and graph problems.
Learn automata, formal languages, grammars, push-down automata, Turing machines, pumping lemmas, and undecidability.
Develop rigorous understanding of automata, languages, grammars, machines, pumping lemmas, and decidability.
Study lexical analysis, parsing, syntax-directed translation, runtime environments, intermediate code, and optimisation.
Follow the compiler pipeline from lexical analysis through parsing, translation, code generation, and optimisation.
Master processes, threads, IPC, concurrency, deadlocks, scheduling, memory, virtual memory, and file systems.
Solve systems questions covering processes, concurrency, scheduling, deadlocks, memory, and files.
Cover data models, relational algebra, SQL, constraints, normal forms, indexing, transactions, and concurrency control.
Study relational foundations, SQL, normalization, storage, indexing, transactions, and concurrency.
Understand layered networks, switching, Ethernet, routing, IP, transport control, sockets, and application protocols.
Cover layered communication, switching, Ethernet, routing, IP addressing, transport, sockets, and application protocols.
Awarded for meeting the published learning and assessment requirements. Preview only — it has no verification ID and cannot be used as a credential.