“As the indispensable link between language and technology, the modern localization engineer ensures raw automated pipelines produce culturally accurate global products. This course will teach students to apply i18n standards to prevent issues before they reach users, and trace the ones that slip through back to their root implementation causes. They will learn to communicate i18n requirements to developers in a language they can understand and advocate for i18n early in the development process, so software ships ready rather than fixed after the fact. Python will be a critical tool throughout the course, used for tasks ranging from file conversion and regex-based i18n issue detection to constraining LLM translation output with enterprise terminology, verifying that constraints held, and auditing the agentic QA workflows built on top of the pipeline. This is how humans will stay at the wheel as automation takes on more of the work."