A rushed release goes live with a “quick” diagram. Symbols are improvised, lanes are uneven, and the export is a fuzzy PNG. Support misreads a handoff, engineering debates message timing, and the doc set drifts. One confusing picture multiplies meetings and mistakes. If that feels familiar, this course is for you. In this course, you will explore industry standards and editorial habits that make diagrams useful, consistent, and easy to maintain. Using draw.io as the primary demo tool and Mermaid for “diagrams-as-code” inside repos and pull requests, you’ll choose the right notation for the job (BPMN for processes, UML for structure and behavior), enforce a house style for clarity, apply canonical symbols and layouts, and improve readability with accessible labeling, legends, and captions. You’ll also practice publication workflows: selecting file formats, naming and versioning exports, adding cross-references, and—when using Mermaid—keeping text sources reviewable, diff-friendly, and CI-rendered so images always match the docs.

This course is designed for technical documentation engineers, product teams, and professionals responsible for creating or maintaining technical diagrams, helping them improve clarity, consistency, and long-term maintainability. Learners should be familiar with diagramming tools such as draw.io or Mermaid, have experience with BPMN or UML, and possess a basic understanding of documentation tools like Markdown, Confluence, and Git. By the end of this course, you will leave with a compact decision rubric to pick the right view, a reusable style guide to keep multi-author diagrams consistent, and a practical publishing checklist you can apply to product docs, runbooks, and design reviews.