Explore cutting-edge learning paths designed by industry experts to advance your career in language technology and operations.


Prompt Engineering 101
In this hands-on workshop, participants will explore the fundamentals of generative AI and prompt engineering.


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.


LangOps Essentials
This practical 2-hour course moves beyond theory to deliver applied understanding of language operations. Starting with LangOps definition, evolution, and business impact, participants explore the 12 LangOps Manifesto points through four thematic blocks. Interactive case studies, discussions, and exercises connect principles to real organisational contexts. The session introduces implementation frameworks including maturity models and practical metrics. Participants conclude by creating personalised 3-step action plans, ensuring they leave with concrete strategies to advocate for and implement LangOps in their workplace.


Intro to Knowledge Graphs
This introductory session demystifies knowledge graphs through practical examples and real-world applications. You'll discover how leading organizations like Google, Amazon, and Netflix use knowledge graphs to connect information, enhance search capabilities, and power recommendation systems.


Intro to LangOps
An introduction to LangOps, what it is and how to utilise it as a framework to enable global success.


AI Prompt Engineering for Language Professionals (I Edition)
This hands-on course teaches you to craft effective AI prompts for translation and localization, factoring in audience, reading level, and communication channels. Gain skills in structuring prompts and improving output consistency while receiving personalized feedback to delegate tasks efficiently. Finish with a ready-to-use AI application to streamline your workflow and save time.

