This hands-on course teaches you how to design, build, and deploy Claude-powered coding agents that go far beyond basic autocomplete or chat-based coding. Instead of treating AI as a tool you “talk to,” you’ll learn how to engineer structured AI workflows that can generate code, run tests, debug issues, write documentation, and support real-world development processes.
The course begins by shifting your mindset from simple prompting to AI system design. You’ll understand what makes Claude uniquely powerful for coding—its reasoning ability, long context handling, and structured outputs—and how to leverage those strengths to build reliable workflows. You’ll learn how to transform messy requirements into precise instructions, design effective system prompts, and create repeatable development loops like Spec → Code → Test → Iterate.
From there, you’ll move into building agentic coding systems. You’ll integrate Claude with tools such as file systems, APIs, and code execution environments to create multi-step agents that can plan, act, and improve their own outputs. You’ll implement patterns like ReAct (Reason + Act) and Plan-and-Execute, and build reusable developer copilots that can automate tasks like debugging, refactoring, pull request generation, and documentation.
