Courses for the Future of Language Operations

Claude for Translators and Localization Professionals

This hands-on session shows freelance translators and localization professionals how to use Claude for everything around the translation: quality checks, market research, review, preparing files for localization, and turning that work into client-facing assets like visual style guides and slide decks. You will work in Claude Projects to keep your context in one place, build Agent Skills that turn your repeat tasks into one click, use Claude Cowork to prepare messy files, and use Claude Design for the visual deliverables. You leave with a set of reusable setups you can point at your own clients on Monday.

Engineering the LangOps Future: LLM-Driven Translation Automation Bootcamp

Become an AI-augmented localization architect in this exclusive 5-person cohort. This 7.5-hour bootcamp prioritizes practical application, moving beyond demos to hands-on engineering of production-ready agentic loops and RAG systems. Benefit from a flexible schedule starting once 2–5 participants enroll, with weekly sessions timed for the group. Please reach out to the instructor Vincent Liu vincent@langops.net with any inquiries.

Change Smarter, Not Harder – Building Change Agility for Language Professionals

This is a focused, interactive workshop designed to help linguists navigate the accelerating impact of artificial intelligence, automation, and evolving client expectations. Participants gain a practical understanding of the human response to change, including the Change Curve, and learn how to move through resistance more efficiently. Through guided exercises, peer discussion, and real-world case studies, the course equips professionals with actionable techniques.

AI Fluency for LangOps

AI is rapidly transforming language work – from translation and review to content creation, QA, and reporting. This interactive 2-hour workshop helps language professionals move beyond hype and uncertainty to practical fluency. You’ll learn what AI can (and cannot) do, where it fits in real LangOps workflows, and how to use it safely under quality and data constraints. Walk away with a practical AI workflow canvas, prompt techniques, and clear next steps.

LLMs for LangOps: NLP Tasks and Prompting

This practical online session is designed for language professionals who want to understand how large language models can be applied to real-world language operations. Through clear explanations and hands-on demonstrations, you will learn how LLMs can support translation, revision, terminology management, and quality assurance workflows using effective prompting and reference materials. The course also addresses key limitations of LLMs and shows how to use them responsibly to improve quality, consistency, and process innovation in language service

Becoming a LangOps AI Strategist

This interactive online session is designed for language professionals and translators who want to transition into strategic advisory or consulting roles in the age of AI. Over two hours, you will gain a clear understanding of what a LangOps AI Strategist does, where AI can add value across language operations workflows, and how to communicate AI's business benefits to clients or employers.