LangOptima Academy runs hands-on workshops on enterprise AI, knowledge graphs, language technology, and the operating discipline that connects them — alongside sessions on growth, leadership, and communication. Every session is built around your team and where it wants to get to, not a fixed syllabus.
How it works
The topics below are a starting point, not a catalogue. Most sessions are shaped in a short conversation first, so the examples, exercises, and depth match the room. If a subject you have in mind is not listed, tell us; if two of them belong together, we can combine them.
A short call or a written brief — who is in the room, what they already know, and what you want them to be able to do afterward.
We propose a format, an outline, and worked examples drawn from your domain, then adjust it with you before a date is set.
We run the workshop remotely or on-site and hand over the slides, exercises, and a short summary so the team can carry it forward.
Workshop topics
Pick one, combine a few, or send us a topic of your own. Each session can run at an introductory level for a mixed audience or go deep for a technical team.
What today's AI can and cannot do inside an organization — where it adds value, where it hallucinates, and why grounding it in your own data changes the result.
A plain-English introduction to knowledge graphs — what they are, how an ontology gives data meaning, and where a knowledge graph helps compared with a traditional database.
Most AI projects stall on the data, not the model. How to audit what you have, spot the gaps early, and prepare a data landscape an AI initiative can actually run on.
Where machine translation works, where it breaks in technical and regulated domains, and how knowledge-grounded translation keeps meaning intact across languages.
Connecting the tools you already have — CMS, CRM, translation, and AI — into one orchestrated flow, with human-in-the-loop checkpoints where quality matters.
Running language and content operations as one connected system rather than a set of disconnected steps — the operating view behind consistent, scalable output.
Keeping AI-assisted content and translation auditable in regulated domains — where the risks sit, and how a knowledge layer helps you check outputs against the rules that apply.
How marketing, sales, product, and retention connect as one motion rather than four silos — and the small number of measures that tell you whether it is working.
Leading technical and growth teams through ambiguity — setting a cadence, making decisions with incomplete information, and keeping standards steady when things go well.
Presenting technical ideas to a non-technical room. How to structure a talk, hold attention, and translate detail into the outcome your audience actually cares about.
Scoping an AI or data pilot so it can reach production — setting success criteria up front, choosing a first use case, and avoiding the traps that keep pilots as pilots.
Sign up
Book a short call and we will talk it through, or send a brief and we will come back with a proposed outline. Either way, you speak with Edwin Trebels directly — no forms, no funnels.
Or write to edwin.trebels@langoptima.com from your own mail client.
