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Frequently Asked Questions

Find answers regarding courses, eligibility, fee structures, and certifications.

courses Questions

The complete AI/ML track comprises 100 classes / 200 hours across 5 progressive levels: Level 1 (Python & AI Foundation, 18 classes), Level 2 (Data Science & ML, 28 classes), Level 3 (Deep Learning & CV/NLP, 24 classes), Level 4 (Generative AI & LLMs, 18 classes), and Level 5 (AI Engineering & Deployment, 12 classes).
Every weekend class is 2 hours. Saturday is "Learn" (30 min Concept, 30 min Architecture, 45 min Live Instructor Coding, 15 min Q&A). Sunday is "Build" (20 min Revision, 80 min Hands-on Lab, 20 min Coding Challenge). This guarantees 8 hours of concept + 8 hours of hands-on lab work every month.
Students build 5 major capstones: (1) Student Performance Analysis System, (2) House Price & Churn Prediction System, (3) Computer Vision & NLP Classifier, (4) Enterprise RAG Document Assistant, and (5) Cloud-Deployed Production AI Knowledge Platform.

admissions Questions

Yes! Beginners & Class 11+ start at Level 1. If you already know Python, you can take our Python assessment to join Level 2. Developers with Git/API knowledge can enter Level 3, and developers with ML experience can jump directly to Level 4 (Generative AI & LLMs).
We operate 3 campuses: Bagnan Campus (Station Road, Bagnan), Uluberia Tech Branch (OT Road, Uluberia), and Kolkata Hub (Sector V, Salt Lake). Hybrid and live lab options are available.
Students need to bring their own laptop for in-class practical sessions. However, you do NOT need an expensive high-end laptop - any basic, budget-friendly laptop or older PC capable of running Python and VS Code is completely sufficient. Our faculty will help you set up all free coding tools on your first day.