Most colleges need help in one of three areas — finding good trainers, developing current content, or building a testing infrastructure. We provide all three as an integrated package, or individually based on what you're missing.
Every session is led by a handpicked practitioner — not a generic instructor. They've built production systems, solved competitive coding problems, and know how to teach in a college classroom.
The curriculum isn't generic — it's reverse-engineered from how 150+ companies actually hire. What TCS tests is different from what Google tests. Our content adapts accordingly.
Students practice on our coding and aptitude platform. TPOs track readiness on a dashboard. AI generates reports. No spreadsheets, no manual tracking, no guessing who's ready.
The same trainers, content, and platform — deployed in the format that matches your academic calendar, student level, and placement timeline. Each format has a recommended duration, customisable to your needs.
The complete placement preparation program — aptitude, coding, technical subjects, company-specific mocks, GD/PI, and interview skills — designed to make students placement-ready before recruiters arrive. Covers every stage from the online test to the final interview round.
Quant, verbal, reasoning, data interpretation — mapped to company-specific patterns
Programming, DSA, core CS, DBMS, OS, CN — the subjects interviews test
Full-length tests mirroring TCS, Infosys, Wipro, Cognizant, and 150+ recruiters
Mock GDs, mock interviews, STAR method, self-intro, body language, communication
Students walk into every placement drive having practised the exact test format, solved 200+ coding problems, completed company-specific mocks, and rehearsed interviews. Zero surprises on drive day.
A full-semester curriculum embedded into regular academic schedules — either as credit-bearing modules or value-added certification courses. Builds skills progressively over 14–16 weeks, aligned to university calendar cycles.
Programming fundamentals, core CS, aptitude basics — building the base
Full Stack, Data Science, GenAI, Cloud, or Cybersecurity — pick a track
Advanced DSA, system design, capstone projects, portfolio building
Company mocks, interview prep, GD/PI training, mock placement drives
Students build skills progressively over 2–3 semesters. By the time placement season arrives, they have a track specialisation, portfolio projects, and months of practice — not a last-minute crash course.
High-intensity, immersive training compressed into 2–4 weeks. Ideal during semester breaks, summer vacations, or pre-placement windows. 6–8 hours per day, focused on one skill area with hands-on labs every session. Maximum learning in minimum time.
200+ problems in 3 weeks. Arrays → trees → graphs → DP. Daily contests.
Build & deploy 2 complete apps in 4 weeks. React + Node + DB + cloud.
From prompt engineering to deploying a RAG application in 2 weeks
AWS/Azure + Docker + K8s + CI/CD — deploy a live project in 3 weeks.
Students gain a demonstrable skill in 2–4 weeks — a completed project, a cloud deployment, or 200 DSA problems solved. Ideal for summer internship preparation or a pre-placement sprint.
Preparation laser-focused on specific companies visiting your campus. We study the company's hiring process — test format, coding round style, interview patterns — and build a training plan that maps to exactly what students will face. Typically deployed 4–6 weeks before the company's campus drive.
Hiring process decoded: test format, sections, difficulty level, interview structure
Full-length tests mirroring that company's exact format and question distribution
Problems tagged by what that company specifically asks — not generic DSA
Mock interviews with questions this company has historically asked on campus
Students sit for the company's test having already taken 3–5 identical-format mock tests. They've seen the question types, managed the time pressure, and rehearsed the interview questions. Selection ratios improve measurably.
Two distinct training paths for two distinct hiring patterns. Service companies (TCS, Infosys, Wipro) emphasise aptitude, verbal, and basic coding. Product companies (Google, Amazon, Flipkart) emphasise DSA, system design, and advanced problem-solving. Students are placed in the right track based on their target companies.
Aptitude mastery, verbal skills, logical reasoning, basic coding, company-pattern mocks (TCS, Infosys, Wipro, Cognizant, Accenture, HCL)
Advanced DSA, competitive coding, system design, technical interviews, product-company mocks (Google, Amazon, Microsoft, Flipkart)
Core CS, communication skills, resume building, and GD/PI prep — shared across both tracks
Students placed into tracks based on a diagnostic assessment — ensuring everyone gets the right preparation
No wasted effort. Students targeting TCS don't spend weeks on advanced graph algorithms. Students targeting Amazon don't spend weeks on verbal reasoning. Both tracks optimise for their target companies' actual test patterns.
Students learn by building real applications — not by watching lectures. Every concept is taught in the context of a project they're constructing. By the end, they have 2–3 portfolio-ready projects they can showcase in interviews, on GitHub, and on their resumes.
E-commerce or SaaS app — React frontend, Node.js backend, PostgreSQL, deployed to cloud
RAG chatbot, document Q&A system, or AI content generator — using LLM APIs + LangChain
End-to-end ML project — data cleaning, model training, evaluation, and dashboard visualisation
Containerised app with Docker + K8s, CI/CD pipeline, monitoring — deployed on AWS/Azure
When an interviewer asks "Tell me about a project you've built," students have a real answer — with architecture decisions, code on GitHub, and a live deployment they can demo. Projects are the #1 talking point in technical interviews.
Each program targets a specific career path — because preparing for TCS and preparing for Google require fundamentally different strategies.
End-to-end preparation for mass IT service recruiters — aptitude, coding fundamentals, company-specific mock tests, GD and interview rounds. Covers every stage from online test to final offer.
Deep problem-solving and coding fluency for competitive technical interviews. DSA, system design, and behavioral rounds — built to match the rigor of top-tier product company hiring.
From Python fundamentals to machine learning, deep learning, and NLP — with capstone projects using real-world datasets. Students learn to clean data, build models, evaluate performance, and present findings. The skills tested in data science and analytics roles.
Three depth levels: Prompt Engineering for all branches (no coding), Agentic AI for building autonomous systems, and Full-Stack GenAI Engineering for deep technical roles. Students learn to build AI-powered applications — chatbots, RAG pipelines, AI agents, and multimodal systems. Curriculum updated quarterly.
Hands-on training across AWS, Azure, and GCP — covering compute, storage, networking, CI/CD pipelines, containerisation with Docker & Kubernetes, and infrastructure-as-code. Students deploy real applications to the cloud, not just learn theory. Every major employer now expects cloud literacy.
Covers network security, ethical hacking, vulnerability assessment, cryptography, incident response, and security operations. Students work through real-world attack scenarios in lab environments and learn the defensive strategies used by enterprise SOC teams. One of the fastest-growing hiring segments.
End-to-end web application development — frontend (React/Angular), backend (Node.js/Spring Boot), databases (SQL & NoSQL), REST APIs, authentication, and cloud deployment. Students ship 2–3 complete projects, not toy exercises. Portfolio-ready work that matters in interviews.
Structured thinking, logical reasoning, data interpretation, and problem decomposition — the cognitive skills that separate students who can follow instructions from those who can solve ambiguous problems. Applicable to every role, every industry, and every placement round that tests thinking beyond syntax.
Understand your student demographics, target companies, academic calendar, and existing gaps
Recommend the right format + tracks. You approve or customise.
Build the syllabus — modules, pace, assessments, project milestones — aligned to your dates
Handpick trainers matched to the tracks, delivery mode, and your campus culture
Training begins. AI analytics track progress. We adjust mid-program based on data, not assumptions.
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| Feature | Campus Placement | Semester | Bootcamp | Company-Specific | Service / Product | Project-Based |
|---|---|---|---|---|---|---|
| Duration | 120–200 hrs | 60–100 hrs/sem | 40–80 hrs | 20–40 hrs | 80–150 hrs | 60–120 hrs |
| Timeline | 4–6 months | 14–16 weeks | 2–4 weeks | 2–4 weeks | 3–5 months | 6–12 weeks |
| Intensity | Medium | Low–Medium | Very High | High | Medium | Medium |
| Best for | Pre-placement | Year 2–3 | Semester breaks | Before a drive | Pre-placement | Any semester |
| Covers aptitude? | ✓ | ✓ | Optional | If company tests it | ✓ Service track | — |
| Covers coding? | ✓ | ✓ | ✓ (if topic) | If company tests it | ✓ Product track | ✓ Applied |
| Interview prep? | ✓ | ✓ (Sem 7) | Optional | ✓ | ✓ | Project walkthrough |
| Portfolio projects? | Optional | ✓ (Sem 6) | 1 project | — | Optional | 2–3 projects |
| Ideal outcome | Placements | Progressive skill | Skill spike | Drive-specific prep | Targeted placement | Internships + interviews |
Generic syllabi waste hours on topics no recruiter asks. Our content is reverse-engineered from 150+ company hiring patterns. Every hour of training maps to a skill that will be tested during a placement drive.
Students who've taken 5+ TCS-pattern mocks before the actual TCS drive don't face format surprises. Familiarity alone improves scores by 15–20%. That's the difference between the shortlist and the rejection pile.
2,500+ coding questions across DSA and Advanced DSA build the problem-solving speed that placement coding rounds demand. A student who's solved 200+ problems doesn't freeze — they recognise patterns and execute.
When an interviewer asks "Tell me about something you built," the student has an answer — architecture decisions, trade-offs, a live deployment. Projects are the #1 talking point in technical interviews.
The TPO dashboard flags students below the placement threshold weeks before drives. That's enough time for targeted intervention — extra coaching, practice assignments, or mentorship — while it can still make a difference.
Technically strong students who fail GD or freeze in HR interviews are the biggest placement loss. Mock GDs, mock interviews, and communication training convert shortlists into final offer letters.
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