Learning Pathway · Two Courses
Build Shared Meaning Today
Engineer Reliable Agentic Automation Tomorrow
A two-course pathway in semantic modelling, knowledge graphs and grounded AI — for organisations ready to make their data mean something machines can act on reliably
Every organisation is trying to build a "semantic layer" — but the term means at least five different things, from a shared business vocabulary to a canonical model, a BI metrics layer, an integration layer across systems, and formal machine-readable meaning. Built as disconnected point solutions, they drift apart. This pathway builds them on one foundation.
The Pathway
Course 1 creates shared meaning — starting from the familiar: ER, UML and information-engineering modelling. Course 2 engineers that meaning into verified ontologies, an operational semantic layer, and AI that acts reliably.
Shared meaning is the prerequisite for trustworthy BI and reliable agentic automation.
Building Shared Meaning
- Model domains as property graphs and RDF
- Query with Cypher and SPARQL
- Express semantic models in G-OWL and VOWL
- Build a shared vocabulary & the analytics semantic layer
- Position semantics in data products & mesh
- Everyone on the same page
- Less rework & technical debt
- Trustworthy business intelligence
- Interoperability across systems
- Ready for reliable AI
Engineering Reliable Agentic Automation
- Author, analyse & formally verify ontologies (OWL, OntoClean, CLIF)
- Engineer knowledge graphs, pipelines & entity resolution
- Stand up an operational semantic layer over systems & APIs
- Build GraphRAG/KAG, ground agents & engineer reliability
- Rigorous, trustworthy knowledge
- Integrate across & beyond the enterprise
- Understanding as a portable asset
- Reliable AI at scale
- Lower risk & audit-ready
Which Course is Right for You?
Why the Pathway?
Most organisations have the two halves of the semantic problem but no bridge between them — the analysts and modellers who understand what the data means, and the engineers who build the systems, speaking different languages. This pathway builds both ends on one common method, so your semantic and AI initiatives get the domain insight and the engineering rigour they need.
It overcomes the problem AI teams keep rediscovering: agents fail on data that does not have formal semantics. The shared meaning you build today is exactly what makes tomorrow's automation reliable.
Ready to Build Shared Meaning?
Building Shared Meaning
Engineering Reliable Agentic Automation
Please contact us if you want to arrange an in-person or in-house course and we will review the request.
Why Inspired?
Few providers can take you across the whole arc — from the data models your people already know, through knowledge graphs, to formal ontologies and grounded AI — as one coherent pathway. Inspired can, because we've spent decades building the methods that connect them.
Every skill is taught on open standards — RDF, OWL, SHACL, SKOS, Cypher/GQL — and each session names the mainstream tools for its topic, with our own tool, Sapiento, offered where it fits. Nothing here is locked to a single vendor.
The pathway draws on 40+ years of industry experience and 25+ years developing practical enterprise-architecture techniques, applied in real organisations across banking, telecoms, healthcare, energy, retail and government. Our courses are known for depth, practicality, and the ability to apply learning immediately — not just pass an exam.
Course Leaders
Graham McLeod
Founder & Chief Architect, Inspired.org
FAQs
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Most people start with Course 1 — it builds the shared-meaning foundation and assumes only everyday data-modelling familiarity (ER, UML, relational). You can go straight to Course 2 if you already work in RDF/OWL and code; it assumes Course 1 or equivalent. Not sure? The "Which course is right?" guide above will point you to the right starting point.
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Not for Course 1 — no logic or programming required, just comfort with data and models. Course 2 is more advanced and does assume programming familiarity (e.g. Python) alongside the RDF/OWL basics from Course 1.
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Everyone who attends Course 1 receives a 30% voucher for Course 2. There's nothing to decide up front — you keep the voucher after the course and redeem it against Course 2 whenever you're ready to book.
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Course 2 is planned for 2027. Register your interest and we'll email you the dates the moment they're set — and remember, Course 1 delegates get 30% off.
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Yes — either course can be delivered as a private, in-house cohort, tailored to your team and context. Get in touch and we'll put together an option for you.
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You will need a laptop, notebook or tablet with the appropriate software for participating in the Zoom sessions as well as team assignments. Useful software to have on the device includes:
A presentation program (Microsoft PowerPoint, Apple KeyNote, Open Office Impress)
A spreadsheet (Microsoft Excel, Apple Numbers, Open Office Calc)
A word processor (Microsoft Word, Apple Pages, Open Office Write)
Zoom conferencing software
Optional: A drawing / diagramming / modelling package of your choice
We understand this is not always easy, but ensuring you have good internet connectivity will greatly improve your experience in the live sessions.
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The course is delivered via Zoom, which allows for interactive sessions, group exercises, and live Q&A. You can join via the Zoom app or directly in your browser; just make sure your device is compatible if you want to participate fully in the hands-on exercises.
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All course materials, recordings, and resources are hosted on Ruzuku, an easy-to-use online learning platform. You can access content anytime, from any device with an internet connection, so you can review lessons at your own pace.
Still Have Questions?
Not sure whether this training is suited to your role/organisation/experience?
Please use the form below to subscribe to updates, ask us anything or have us contact you for a discussion. Alternatively, book a call and we can discuss further, and find the right match for your needs.