Interview Q&A

Modules in this track

• Forward Deployed Engineering Q&A - 161 scenario, behavioral, technical, and live-build questions from Palantir, OpenAI, Anthropic, and Google Cloud FDE loops
• GenAI & Transformers Q&A - 24 scenario-based questions on GANs, VAEs, Transformer architecture, self-attention, embeddings, and sparse vs dense search
• RAG, Prompting & Modern GenAI Q&A - 24 scenario-based questions on RAG pipelines, GraphRAG, prompting techniques, MoE, quantization, DPO, multimodal LLMs
• LLM Interview Prep - 81 scenario-based questions across 9 tiers - fundamentals, architecture, production, system design, RAG, inference, safety
• LLM Scenario based Q&A - 12 production scenarios testing deep LLM understanding
• Agentic AI Interview Prep - 75 scenario-based interview questions across 13 progressive tiers
• Agentic AI Scenario based Q&A - 12 production scenarios testing real-world agentic AI experience
• Classical ML Q&A - 55 core machine learning questions that interviewers test first
• Deep Learning Fundamentals Q&A - 25 core deep learning questions every ML engineer must know cold
• ML System Design Q&A - 12 end-to-end system design questions that test architectural thinking
• MLOps & Production ML Q&A - 12 production deployment, monitoring, and infrastructure-at-scale questions
• ML Math & Statistics Q&A - 12 mathematical-foundation questions interviewers use as quick filters
• ML Coding Challenges - 25 challenges to implement ML algorithms from scratch and prove you understand the math