Interview Q&A Course
Interview Q&A course: Tricky scenario-based questions that AI companies ask. 20 interactive modules with live visualizations, Python coding, and quizzes.
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) - Scenario questions on RAG, cost, and agent safety
- Forward Deployed Engineering Q&A (free preview) - Scenario, behavioural, and live-build questions
- GenAI & Transformers Q&A (free) - Questions on GANs, VAEs, attention, embeddings
- RAG, Prompting & Modern GenAI Q&A (free preview) - Questions on GraphRAG, MoE, quantisation, DPO
- LLM Interview Prep (free preview) - Architecture, RAG, inference, and safety questions
- LLM Scenario based Q&A (free) - 17 production scenarios testing deep LLM understanding
- Agentic AI Interview Prep (free preview) - Tiered questions from agent basics to advanced
- Agentic AI Scenario based Q&A (free) - Production scenarios from real agent deployments
- AWS AI/ML & GenAI Q&A (free preview) - Bedrock, AgentCore, SageMaker AI, LLMOps
- Google Cloud AI/ML & GenAI Q&A (free preview) - Agent Platform (formerly Vertex AI), Gemini, ADK, Vector Search, BigQuery ML
- Microsoft Azure AI & GenAI Q&A (free preview) - Azure OpenAI, Foundry, AI Search, Content Safety
- Data Engineering Scenario Q&A (free) - SQL, data modelling, pipeline and platform design
- LLM Inference & Serving Q&A (free) - Bandwidth maths, quantisation, multi-GPU, debugging
- AI Product & Business Scenario Q&A (free) - Questions asked of product managers and consultants
- Classical ML Q&A (free preview) - Core ML questions interviewers ask first
- Deep Learning Fundamentals Q&A (free preview) - Core questions every ML engineer should know
- ML System Design Q&A (free) - End-to-end designs that test architectural thinking
- MLOps & Production ML Q&A (free) - Deployment, monitoring, and infrastructure at scale
- ML Math & Statistics Q&A (free) - Foundation questions used as quick filters
- ML Coding Challenges (free preview) - Implement ML algorithms from scratch