Introduction to Internationalization and Localization
The first MOOC to teach internationalization and localization end to end. Learn how a digital product needs to be designed to be world-ready and how it is getting adapted to the needs of all its international target markets. This introductory course covers all the basics!
Created by: Agustn Da Fieno Delucchi
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Course Description
In this introduction to internationalization and localization you will learn Why it makes sense to release an app or a site outside of its original market in the first place
What markets to cover first, for example those that have specific legal requirements around availability of a particular language
The basic concepts and key terms of the industry: for example, how using Unicode and considering different time formats are both part of internationalization, how adapting the user interface of a software application is part of localization and what resource files have to do with localizability
The different types of international releases and their specific challenges
The different localization methods
The history of the industry and important trends
Roles and responsibilities
Localization sourcing models, including outsourcing to so-called language service providers
How to work successfully in the very international localization industry
Instructor Details
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Agustn Da Fieno Delucchi
Agustn Da Fieno Delucchi has been working in the computer industry since 1992, focusing primarily on developing a wide range of enterprise solutions. Originally from Peru, he's been involved in different areas of international software development since 1998, when he moved to Dublin, Ireland. Da Fieno Delucchi has been with Microsoft for 20-plus years, during which time he's a wide range of internationalization roles as terminologist, language specialist, translator, localization engineer, program manager, localization architect, as well as geopolitical risk manager. He has a strong passion for data development and analysis and is currently focusing on global readiness requirements for artificial intelligence and machine learning.
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