courseraПрограммирование

Document AI: Project & API Writing

Курс от Coursera

Средний≈ 3.2 чАнглийский

О курсе

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.

Навыки, которые вы освоите

Technical Writing Technical Documentation Model Training Engineering Documentation Software Documentation Generative Model Architectures Technical Communication Software Design Documents Restful API

Программа курса

1 модулей · 18 учебных материалов

01Document AI: Project & API Writing18 материалов

Documenting Models, Data, and Training Pipelines

Welcome & Lesson Introduction VideoВидео What Makes Model Documentation Clear?DIALOGUE How to Write Clear Model Architecture DescriptionsВидео Model Schemas Within the MLOps EcosystemЧтение

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