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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.
Duration 5 Months
Institution Coursera
Format Online

Eligibility Criteria

school

Academic Foundation

A recognized Bachelor’s degree or high school equivalent required for admission into Coursera.

language

Language Proficiency

English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.

Detailed Fees Breakdown

Base Tuition Fee $226
Total Est. Investment $226

Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.

Academic Trajectory

Program Outcome

Graduates of the Document AI: Project & API Writing program at Coursera are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.

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