


Claude Code is changing how developers, architects, and AI practitioners design, build, refactor, and reason about software with AI-assisted coding workflows. This course is designed to help you prepare for Claude Code Architect-style practice questions by strengthening both your conceptual understanding and your practical decision-making skills.
This practice-focused course covers the core ideas behind using Claude Code effectively in real-world software engineering and architecture scenarios. You will work through questions related to AI-assisted development workflows, codebase understanding, prompt design, context management, debugging, refactoring, documentation, testing, security, and architectural decision-making. The goal is not just to memorize answers, but to understand how to think like an AI-assisted software architect.
Throughout the course, you will learn how Claude Code can be used to analyze existing code, generate implementation plans, work with repositories, improve developer productivity, support test-driven development, and assist with complex software modernization tasks. You will also explore important topics such as responsible AI usage, tool boundaries, human-in-the-loop review, secure coding practices, and how to evaluate AI-generated code before using it in production.
This course is ideal for software developers, solution architects, technical leads, DevOps engineers, AI engineers, and learners who want to build confidence with Claude Code and modern AI coding assistant workflows. Whether you are preparing for a practice test, improving your architectural thinking, or learning how AI coding tools fit into enterprise software delivery, this course will help you approach Claude Code questions with clarity and confidence.