Building Systematic AI Agents with Claude and Agentic Automation

Standardizing AI workflows requires moving beyond simple prompts to building systematic, reliable agents that can plan, execute, and self-correct. This text-based course guides you from foundational agentic concepts to constructing your own Systematic Development Document (SDD) agents that automate complex programming and operational tasks with precision. What you'll learn: 1. Understand core agentic design patterns including planning, tool use, reflection, and state management. 2. Configure Claude and agentic workflows to automate repetitive development tasks systematically. 3. Build custom SDD agents that follow structured software design documents to generate reliable code. 4. Implement evaluation frameworks to measure and improve your agent's accuracy and performance. 5. Apply error handling, rate limiting, and structured JSON outputs for robust production-ready automation. You will start with the fundamental terminology of agentic workflows and Claude's capabilities, then progress through step-by-step written explanations and code exercises to design, test, and refine your own systematic agents. This course is designed for software developers, automation enthusiasts, and tech-savvy beginners eager to build reliable AI-driven systems. No advanced AI background or prior agent development experience is required. Start reading today to master the art of systematic agentic automation.