100 real interview questions — theory, practical, and scenario-based — plus 20 project ideas backed by real open-source repos. Filtered by your exact experience level.
Choose the path that matches the role you're preparing for.
Covers Python fundamentals, SQL, Data Analytics, and core Machine Learning — the exact stack tested for Data Analyst, Data Scientist, and ML Engineer roles.
Covers Neural Networks, CV, NLP, LLMs, RAG, LangGraph, CrewAI and MCP — the frontier stack for GenAI Engineer and Agentic AI roles.
Recruiters skim resumes for projects, not question banks. Each idea below is scoped clearly and linked to a real, well-maintained open-source repo so you're never starting from a blank file.
Our structured courses take you from fundamentals to 6-8 deployed capstone projects, live daily classes, and direct mentorship — everything this free page can't replace.