Interview Q&A
Interview Q&A on AI-ML Companion: Tricky scenario-based questions that AI companies ask. 15 interactive modules with live visualizations, quizzes, and hands-on Python coding.
Interview Q&A is free to read: 8 modules are fully open with no account required. 7 more modules are marked "free preview" below: the written material is fully open, and a sample of the interview questions is free, with the full question bank on Premium.
Modules in this track
- AI Engineering Scenario based Q&A (free) - 12 applied scenarios from modern AI Engineer loops - debug a RAG system, cut a 5x bill, bound an agent that can move money
- Forward Deployed Engineering Q&A (free preview) - 161 scenario, behavioral, technical, and live-build questions from Palantir, OpenAI, Anthropic, and Google Cloud FDE loops
- AI Product & Business Scenario Q&A (free) - 24 scenario questions asked of product managers, consultants, and business leaders in AI interviews
- GenAI & Transformers Q&A (free) - 24 scenario-based questions on GANs, VAEs, Transformer architecture, self-attention, embeddings, and sparse vs dense search
- RAG, Prompting & Modern GenAI Q&A (free preview) - 24 scenario-based questions on RAG pipelines, GraphRAG, prompting techniques, MoE, quantization, DPO, multimodal LLMs
- LLM Interview Prep (free preview) - 81 scenario-based questions across 9 tiers - fundamentals, architecture, production, system design, RAG, inference, safety
- LLM Scenario based Q&A (free) - 12 production scenarios testing deep LLM understanding
- Agentic AI Interview Prep (free preview) - 75 scenario-based interview questions across 13 progressive tiers
- Agentic AI Scenario based Q&A (free) - 12 production scenarios testing real-world agentic AI experience
- Classical ML Q&A (free preview) - 55 core machine learning questions that interviewers test first
- Deep Learning Fundamentals Q&A (free preview) - 25 core deep learning questions every ML engineer must know cold
- ML System Design Q&A (free) - 12 end-to-end system design questions that test architectural thinking
- MLOps & Production ML Q&A (free) - 12 production deployment, monitoring, and infrastructure-at-scale questions
- ML Math & Statistics Q&A (free) - 12 mathematical-foundation questions interviewers use as quick filters
- ML Coding Challenges (free preview) - 25 challenges to implement ML algorithms from scratch and prove you understand the math