Service-based companies track
For mass recruiters. Focus on aptitude, coding-round speed and company test patterns.
- TCS NQT
- Infosys
- Wipro
- Accenture
- Capgemini
- Cognizant
Pilot batches for the 2027 placement season are open. Book a campus demo →
Core program · 6 months
Pre-final year students reach placement season with interview-level DSA, two deployed projects on their resume and mock interviews already done.
Curriculum
Month 1
Complexity, arrays, strings, hashing and recursion, with a weekly contest from week 2.
How AI is used: Solutions are written without AI. An AI tutor gives hints and explanations only.
Month 2
Trees, graphs and dynamic programming at interview level, plus DBMS, OS, networks and OOP.
How AI is used: AI explains concepts and generates extra test cases. Every solution is the student's own.
Month 3
A React, Node.js and MongoDB app with authentication, reviewed and deployed.
How AI is used: Students pair-program with an AI assistant and must explain every change it suggests.
Month 4
Add an AI feature to the app using an LLM API, then build a small document Q&A tool.
How AI is used: Students learn how AI features are built, tested and shipped in real products.
Month 5
Quantitative, logical and verbal aptitude, plus company-pattern coding rounds under time.
How AI is used: Students practice spotting and fixing mistakes in AI-generated code.
Month 6
Technical and HR mock interviews with feedback, GD practice, resume polish and prep for each visiting company.
How AI is used: Includes a timed round without AI and a round where AI tools are allowed, as some companies now do.
Tracks
For mass recruiters. Focus on aptitude, coding-round speed and company test patterns.
For students aiming higher. Deeper DSA, strong projects and technical interviews.
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A 30-minute call with a founder, then a free skill check and trainer demo on your campus.