EXPERT COURSE

Introduction to Knowledge Graphs (KG) & Knowledge Graph Mediated Translation (KGMT)

Turn Messy Data into Structured Data, Ready for AI

Knowledge graphs connect people, processes, and data into a shared language that software can understand.
Done well, they reduce integration friction, unlock analytics across silos, and make AI systems more explainable and reusable. Done poorly, they become over‑engineered diagrams that never leave the whiteboard.

This two‑hour masterclass shows you a practical path.

Edwin and Prasad demystify the core concepts (entities, relationships, semantics) and tie them to everyday use cases: customer 360, product catalogs, supply chain, risk & compliance, and AI grounding.

You’ll see where knowledge graphs beat point‑to‑point integrations and where they don’t. We’ll translate the vocabulary of ontologies, schemas, and vocabularies into tools you can explain to stakeholders. We will introduce you to the practices, processes, and tooling that let you deploy, and evolve graphs reliably.

How Knowledge Graphs Deliver Outcomes

Learn what knowledge graphs are, when to use them, and how to manage them at scale (KGMT).
In two hours, Edwin and Prasad introduce you to the fundamentals of Knowledge Graphs and Knowledge Graph Mediated Translation (KGMT). They’ll show you the business value and power of knowledge graphs by preparing your data for AI use cases, including leveraging them for high quality machine translation.

Conditions: Please read our course and subscription plans terms and conditions carefully. With your registration, you confirm that you have read, understood and accepted our conditions and agree with them. 

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  • This course includes:
  • Professional certified coaches:
    Edwin Trebels - Founder at LangOptima
    Prasad Yalamanchi - Founder & CEO at Lead Semantics
  • Live activities
  • Live access to content
  • In English 
  • Completion certificate
  • Money back guarantee
  • Clarity on when/why to use knowledge graphs, how to start, and how to run KG management (KGMT) at scale
  • When: 22 February 2026, 18:00 - 20:00 CET
  • Duration: 2 h approx. (2 h/session)
Session 1 - Foundations, Knowledge Graphs & KGMT
SESSION 1

Foundations,
Knowledge Graphs
& KGMT

Session 1 - Foundations, Knowledge Graphs & KGMT

1.1 Knowledge graphs in plain language: entities, relationships, semantics
1.2 When graphs help
1.3 Common business use cases across industries
1.4 KGMT overview
1.5 Stakeholder communication: explaining value and scope
1.6 Deep dive into Knowledge Graphs
1.7 Q&A

    Course Description

    Learn what knowledge graphs are, when to use them, and how to manage them at scale (KGMT). Edwin and Prasad introduce you to the fundamentals of Knowledge Graphs and Knowledge Graph Mediated Translation (KGMT).
    They’ll show you the business value and power of knowledge graphs by preparing your data for AI use cases, including leveraging them for high quality machine translation.

    Why this course matters:
    • AI‑ready context: Provide authoritative, explainable context for LLMs, machine translation, agents, and search.
    • Business outcomes: Shorten time‑to‑insight and enable new connected products and services.
    • Faster integration & reuse: Break data silos with a shared semantic layer instead of bespoke pipelines.

    Who is this course for?

    This course is for:
    - Language specialists who want to implement better workflows in their localization programs.
    - Data leaders & product owners who need a credible plan for semantic interoperability.
    - Enterprise/data architects designing a graph or semantic layer.
    - Analytics & ML teams seeking explainable, reusable features and context for LLMs.
    - Software/Platform engineers tasked with building graph APIs and services.
    - Domain experts & stewards who will maintain models and definitions.

    Meet the Course Tutors

    Edwin Trebels

    | Founder at LangOptima
    About EDWIN
    Edwin Trebels is the Founder at LangOptima.
    With 20 years in the localization industry, Edwin has progressed from junior manager and DTP production assistant to where he is today as a recognized LangOps Pioneer by LangOps.org.
    Edwin’s expertise spans enterprise translation software, machine translation, and innovative SaaS solutions for language services.

    Prasad Yalamanchi

    | Founder and CEO at Lead Semantics
    About Prasad
    Prasad Yalamanchi is the Founder and CEO of Lead Semantics, a partner of LangOptima.
     Lead Semantics is the developer of TextDistil - a language comprehension platform solution that transforms unstructured content into structured knowledge graphs.
    Prasad brings his extensive expertise in computational linguistics and knowledge engineering to commercial applications of unstructured data.
    He possesses a Master’s degree in Computer Science and Computational Linguistics.
    In addition to his work at Lead Semantics, Prasad also serves as chair on select ontology engineering and natural language processing training programs and conferences. 
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