Library / Artificial Intelligence
Claude Code - Interview Questions For AI & Software Engineer
On Udemy
About this course
Walk into your next ML/AI Engineer or Software Engineer interview knowing you've already tackled the hardest questions they could ask about Claude Code — the agentic coding tool that now powers 4% of all public GitHub commits.
This 500-question practice test bank covers the complete Claude Code ecosystem, from foundational concepts to expert-level production patterns. Every question is scenario-based, testing whether you can configure, debug, secure, and optimize Claude Code workflows — not just define what the features are.
What Makes This Different
Scenario-based, not definition-based. Questions test whether you can configure CLAUDE. md, write hooks, design subagent architectures, and secure MCP integrations — real engineering work.500 questions across 20+ topics. From CLI basics to Agent SDK deployment, from permissions to multi-agent code review patterns.
Detailed explanations for every answer. Each explanation teaches the "why" and "when" — not just the "what."
Current as of 2026. Covers Opus 4.6, Sonnet 4.6, Agent Teams, context editing, plugins, and the Agent Skills Open Standard.
Topics CoveredCore Concepts & Agentic Coding Overview
Installation, Setup & AuthenticationCLAUDE md — Configuration, Hierarchy & Best Practicessettings.json — Permissions, Deny Patterns & Tool ScopingCLI Commands — Headless Mode, Piping, Session Management
Built-in Tools — Read, Write, Edit, Bash, Grep, GlobHooks — PreTool
Use, PostTool
Use, Notification, UserPromptSubmitSlash Commands — Custom Commands, Parameterization, Organization
Skills — SKILL .md, Auto-Invocation, Agent Skills Open Standard
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Udemy: 2026-11-07 · Coursera: 2026-11-07 · O'Reilly: 2026-11-07 · 365 Data Science: 2026-11-07
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