AI & ML Interview Topics

445 questions with answers across 22 subjects. Browse by subject, then learn interactively.

Open the full interactive app →

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 Fundamentals & Training — 31 questions CNNs & Computer Vision — 17 questions RNNs, LSTMs & Sequence Models — 13 questions Transformers & Attention — 24 questions NLP, Tokenization & Embeddings — 14 questions LLM Pretraining, Fine-tuning, PEFT & Alignment — 29 questions LLM Inference, Decoding, Quantization & Serving — 22 questions 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 — 14 questions 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 AWS AI/ML Certifications (SageMaker, Bedrock) — 20 questions Azure AI Engineer (AI-102) — 17 questions GCP Professional Machine Learning Engineer — 19 questions