Document AI: Project & API Writing

Document AI: Project & API Writing teaches you how to communicate AI systems with clarity, structure, and precision - skills that are essential for ML engineering in real organizations. In this course, you’ll learn to document model architectures, data schemas, training procedures, and evaluation summaries in ways that support onboarding, debugging, and reproducibility. You’ll also create developer-facing API documentation with request and response schemas, examples, error behaviors, and usage notes. Through hands-on practice and a full MkDocs documentation lab, you’ll build a complete, developer-ready documentation site for a prediction API. By the end, you’ll be able to turn raw ML projects into professional, discoverable, and maintainable technical documentation that teams rely on

• Document model architectures, data schemas, and training procedures clearly
• Prepare evaluation summaries supporting onboarding, debugging, and reproducibility
• Create developer-facing API documentation with request and response schemas, examples, and error behaviors
• Build a complete documentation site using MkDocs
• Transform raw ML projects into professional, maintainable technical documentation

• Basic familiarity with the topic and its common terminology
• Readiness to practice through applied exercises or case-based work