VivaPrep

All modules

Syllabus-mapped curriculum — work through in order, or jump to your weak spot.

Module 127 Q

ML Fundamentals

Supervised/unsupervised, bias-variance, regularization, evaluation metrics.

Module 222 Q

Neural Networks & Deep Learning

Forward/backprop, activations, batch norm, vanishing gradients, CNN/RNN basics.

Module 319 Q

NLP Essentials

Tokenization, TF-IDF vs embeddings vs transformers, attention intuition.

Module 418 Q

Math for AI

Linear algebra, probability, statistics, calculus intuition — no heavy proofs.

Module 517 Q

DSA Refresher

Arrays, strings, linked lists, trees, complexity — the "small code" viva slice.

Module 617 Q

Python / SQL / Data Manipulation

pandas fluency, basic SQL (SELECT/JOIN/GROUP BY), numpy from-scratch drills.

Module 715 Q

Scenario & System Design for ML

Open-ended design questions — CCTV counting, fraud detection, model diagnosis.

Module 85 Q

Research Paper Reading

How to dissect a paper + defend your own thesis/project under questioning.

Module 911 Q

Viva Soft Skills

Self-intro, "why bKash", CV deep-dive prep, questions to ask the panel.