Frequently Asked Questions

The core bootcamp is 2 days (weekend, 8 hours/day). There's an optional 3rd day for an extended capstone project, deployment overview, and career roadmap session.

No prerequisites! We cover Python and JavaScript fundamentals on Day 1. Students just need a laptop with internet access. We provide all code, datasets, and notebooks.

The bootcamp covers 4 tracks: Programming Fundamentals (Python/JS), Full Stack Development (React, Node.js, databases), Big Data & Data Engineering (Hadoop, Spark, ETL pipelines), and AI/LLM Applications (prompt engineering, RAG, LLM APIs). Students build a mini product end-to-end.

Every participant receives a completion certificate, a GitHub portfolio with 2–3 projects, hands-on experience with industry tools, a capstone demo, and a clear career roadmap. Optional: alumni community access.

We offer two models: Student-Paid and College-Sponsored. Pricing depends on batch size, duration, and delivery format. Contact us for a custom quote.

A computer lab or student laptops, stable internet, a projector with audio, and a coordinator for attendance. We handle everything else — curriculum, trainer, labs, project guidance, and certificates.

Absolutely. The curriculum is standardized so it can be delivered consistently across multiple batches. Many institutions run 2–5 batches per semester. We provide all trainer assets for consistent quality.

Yes! We offer a free 1-hour live demo session for faculty and students before you commit. Book your free demo here.

Students don't just learn concepts — they build an end-to-end data workflow with a real output: API/dashboard + documentation + portfolio narrative. The trainer has 14+ years of industry experience, and the curriculum is designed with an industry-first approach using real tools like Hadoop, Spark, and LLM APIs.