Tech & skills training
LMS for DSA and Placement Coding Training
Placement preparation is two jobs at once: timed aptitude rounds and data-structures coding interviews. Sikgen AI runs company-pattern aptitude mocks at scale and pairs DSA lessons with an editor and a lecture assistant, so a placement cell can see which students are ready before recruiters arrive.
College placement cells, placement-training companies and institutes preparing final-year students for campus and off-campus hiring.
What these courses cover
- 1Quantitative aptitude, logical reasoning and verbal ability
- 2Arrays, strings and hashing
- 3Linked lists, stacks and queues
- 4Trees and graphs
- 5Recursion and dynamic programming
- 6SQL and core CS fundamentals
- 7Mock interviews and company-pattern tests
Tools students use
- Java
- C++
- Python
- SQL
Typical projects and assessments
- A topic-wise DSA problem set
- Company-pattern aptitude mocks
- Timed mixed assessments before placement season
How institutes run DSA & Placement Coding courses on Sikgen
Company-pattern aptitude mocks
Timed, proctored aptitude tests at batch scale, with per-student pace and accuracy analytics.
Code beside the lesson
An in-browser editor sits next to each lesson, so students write and run code while the concept is on screen — no installs.
Cohort readiness at a glance
Placement officers see who is ready, who is borderline and who needs intervention, by section.
A lecture assistant that reads the code
Students ask about the moment in the video or the code in the editor; fixes come back as a diff they accept, never over their work.
What Sikgen does not do here
- Coding rounds are practised in the editor; automatic grading of coding answers against test cases is not available yet.
- Automatic grading of coding answers against test cases is planned but not available yet.
The Sikgen modules behind this track
Questions about DSA & Placement Coding courses on Sikgen
- Can we run aptitude tests for a whole batch at once?
- Yes. Proctored, timed aptitude mocks run for hundreds of students at a time, with results and section-wise analytics straight after.