From first principles → staff-level curveballs

Master every corner of AI — and walk into any interview.

A complete, tiered question bank spanning math, classical ML, deep learning, transformers, LLMs, GenAI, RL, ML system design, MLOps, and the AWS / Azure / GCP AI certifications. Read to learn, drill to remember, search to revise.

445Questions

22Topics

7Chapters

5Question types

Foundational · 54Intermediate · 128Advanced · 158Expert · 105

This interactive guide works best with JavaScript enabled. Below is a text outline of all 445 questions across 22 domains. See also the beginner build-with-AI track.

Foundations

Math & Statistics for ML — 20 questions
Classical ML (Supervised & Unsupervised) — 21 questions
Model Evaluation & Validation — 17 questions
Feature Engineering & Data Prep — 16 questions

Deep Learning

Deep Learning Fundamentals & Training — 31 questions
CNNs & Computer Vision — 17 questions
RNNs, LSTMs & Sequence Models — 13 questions

Transformers & LLMs

Transformers & Attention — 24 questions
NLP, Tokenization & Embeddings — 14 questions
LLM Pretraining, Fine-tuning, PEFT & Alignment — 29 questions
LLM Inference, Decoding, Quantization & Serving — 22 questions

Applied Generative AI

Prompt Engineering, Agents, Tool Use & MCP — 21 questions
Retrieval-Augmented Generation & Vector Search — 20 questions
Diffusion, Multimodal & Generative Models — 19 questions
LLM Evaluation, Hallucination & Guardrails — 22 questions

Reinforcement Learning

Reinforcement Learning — 14 questions

ML Systems & MLOps

ML System Design (RecSys, Ranking, Search, Ads) — 24 questions
MLOps: Serving, Monitoring, Drift & CI/CD — 28 questions
Responsible AI: Fairness, Explainability, Privacy & Security — 17 questions

Cloud AI Certifications

AWS AI/ML Certifications (SageMaker, Bedrock) — 20 questions
Azure AI Engineer (AI-102) — 17 questions
GCP Professional Machine Learning Engineer — 19 questions

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