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Interview Q&A

Interview Q&A on AI-ML Companion: Tricky scenario-based questions that AI companies ask. 20 interactive modules with live visualizations, quizzes, and hands-on Python coding.

Interview Q&A is free to read: 10 modules are fully open with no account required. 10 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) - 13 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) - 169 scenario, behavioural, technical, and live-build questions from Palantir, OpenAI, Anthropic, and Google Cloud FDE loops
  • 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) - 17 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) - 22 production scenarios testing real-world agentic AI experience
  • AWS AI/ML & GenAI Q&A (free preview) - Bedrock, AgentCore, Managed Knowledge Bases, SageMaker AI, AWS Transform, Nova, LLMOps, and the enterprise architecture rounds
  • Google Cloud AI/ML & GenAI Q&A (free preview) - Vertex AI, Gemini, ADK and Agent Engine, Vector Search, managed RAG, BigQuery ML, LLMOps, and the enterprise architecture rounds
  • Microsoft Azure AI & GenAI Q&A (free preview) - Azure OpenAI and PTU, AI Foundry and the Agent Service, Azure AI Search, Azure ML, Content Safety, LLMOps, and the enterprise architecture rounds
  • Data Engineering Scenario Q&A (free) - 24 scenarios from real data engineering loops - SQL under pressure, modelling you have to defend, pipeline design, the green-pipeline-wrong-number round, and platform system design
  • LLM Inference & Serving Q&A (free) - 24 scenarios from inference and LLM-infra loops - the bandwidth arithmetic, engine internals, quantisation, multi-GPU topology, production debugging and capacity
  • AI Product & Business Scenario Q&A (free) - 25 scenario questions asked of product managers, consultants, and business leaders in AI interviews
  • Classical ML Q&A (free preview) - 69 core machine learning questions that interviewers test first
  • Deep Learning Fundamentals Q&A (free preview) - 47 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) - 13 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) - 23 challenges to implement ML algorithms from scratch and prove you understand the math