AI for Technical Writing & Documentation
Technical writers and docs teams learn to produce and maintain technical documentation with AI. The course covers drafting from sources, API docs, structure and style, updates, and accuracy. Participants finish able to keep docs current with far less effort.
What this course covers
The course runs across 7 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.
- Setting Up the AI Environment for Technical Writing — Configure your AI assistant interface and establish system prompts for consistent technical style, tone, and audience targeting.
- Drafting Technical Docs from Source Material — Incorporate raw engineer notes, product requirement documents (PRDs), and code comments to draft clear, structured user documentation.
- Automating and Refining API Reference Documentation — Generate and format accurate API endpoint descriptions and code schemas using AI, ensuring OpenAPI/Swagger alignment.
- Enforcing Style Guides and Structural Consistency — Feed existing style guides (e.g., Microsoft, Google) into the AI tool to automatically audit, edit, and restructure draft content.
- Updating and Maintaining Legacy Documentation — Use AI to identify deprecated features, compare old docs against new code commits, and rapidly push batch updates.
- AI Fact-Checking and Accuracy Verification — Implement verification workflows to catch AI hallucinations, validate technical steps, and ensure absolute accuracy before publishing.
- Comprehensive Hands-On: The Docs Maintenance Lifecycle — End-to-end practical challenge: take a piece of outdated documentation, ingest a new feature spec, and output a fully updated, verified document.
Skills you build
Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick. This course maps to Technical Writing, API Documentation Writing, Content Strategy for Technical Documentation, Technical Documentation, XML & DITA for Technical Documentation, Working with AI Tools.
- Technical Writing
- API Documentation Writing
- Content Strategy for Technical Documentation
- Technical Documentation
- XML & DITA for Technical Documentation
- Working with AI Tools
Who it is for
Technical writers, docs teams. The material is pitched at intermediate level, and takes roughly 90 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.
It sits in the Function: Technical Writing track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.
How it is delivered and assessed
Delivery is conversational and interactive, including guided lab, code lab, branching scenario exercises. There is no video to sit through and no slide deck to click past.
Understanding is checked with a lab assessment of 5 items, with a pass mark of 70%.
Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.
Related
- Browse the full Vero AI Catalog
- How the OneRange platform assesses and measures skill
- What OneRange Vero is
Frequently asked questions
How long does this course take?
It runs roughly 90 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.
How is it assigned to a team?
An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.
Can we customise it with our own documents and terminology?
Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.
Course code FUN-TW.