Professional area
Localization QA & Review
Localization QA is the discipline of evaluating localized output before release: linguistic quality, functional quality, terminology consistency, UI context, and accessibility.
What professionals focus on
- Linguistic quality models and error typologies
- Functional QA: layout, truncation, placeholders, UI context
- Terminology consistency and glossary enforcement
- Reviewing AI-assisted and machine-translated output
Learn this area in a track
These tracks contain published lessons that build the skills behind localization qa & review.
AI & Automation
AI Workflows
Learn how AI-assisted localization actually works: LLM capabilities and limits, prompt engineering, terminology extraction, QA automation, and the human-AI collaboration model.
10 published lessons · Free to start
Technology
TMS Fundamentals
Understand translation management systems from the ground up: workflows, translation memory, terminology, file formats, connectors, and how to choose a TMS.
10 published lessons · Free to start
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