Course 2 of 2 · Live Online · Coming soon
Turn shared meaning into AI that acts reliably.
Verified ontologies, an operational semantic layer, and grounded agents — engineered, not guessed.
Engineering Reliable Agentic Automation
Ontology Engineering · The Operational Semantic Layer · Grounded AI
This is the advanced course in the pathway. It builds on Course 1 (Building Shared Meaning) or equivalent, plus some programming (e.g. Python). New to semantic modelling? Start with Course 1 (dates: ). Explore Course 1 →
Who This Course Is For
Engineering Reliable Agentic Automation is for the people who build, verify and deploy — the modellers, engineers and architects ready to turn shared meaning into working systems. If you already model in RDF/OWL and code, and you need to verify meaning formally, integrate across systems and APIs, and deploy AI that acts reliably, this is where the pathway goes deep. It's an advanced, hands-on course: it assumes Course 1 (Building Shared Meaning) or equivalent — RDF/OWL, SPARQL and property graphs — plus programming familiarity such as Python.
Modellers / Ontologists
Knowledge Graph Engineers
Data Engineers
ML / AI Engineers
Semantic-Layer Engineers
Solution Architects
Data Architects
Course 1 Graduates
What You’ll Gain from This Course
By the end, you'll be able to:
- Author well-formed OWL 2 — choosing the right design patterns and profile for the job
- Run ontological analysis with OntoClean and align to an upper ontology
- Validate graphs with SHACL and reason with description-logic engines
- Express and verify constraints beyond OWL's reach in Common Logic (CLIF)
- Engineer knowledge graphs with production pipelines and entity resolution
- Stand up an operational semantic layer over multiple systems and APIs
- Build and evaluate GraphRAG / KAG, and ground AI agents in your ontology
- Engineer reliability — guardrails, evaluation, provenance and governance
- Rigorous, trustworthy knowledge — verified, not guessed
- One semantic layer — across and beyond the enterprise
- Understanding as an asset — reusable, portable, machine-readable
- AI that acts reliably, at scale — grounded, governed, auditable
- Lower risk — governed, verified, auditable models
Content and Structure
Course 2 combines live teaching with hands-on engineering — every technique applied to your own ontology and knowledge graph, producing a working artefact each session that builds, day by day, toward one end-to-end system. Taught on open standards, with each topic naming the mainstream tools (and Sapiento offered where it fits).
Sessions are recorded; notes and references provided.
What You Take Away
You don't leave with slides — you leave with a working system for your own domain. Across the week you engineer each layer, then assemble them into one end-to-end, hand-off-ready build:
A verified ontology — authored with design patterns, cleaned with OntoClean, validated with SHACL and checked by a reasoner
Constraints beyond OWL's reach, axiomatised and verified in Common Logic (CLIF)
A populated, tuned knowledge graph with entity resolution and a governed query & serving layer
An operational semantic layer over multiple systems and APIs
An evaluated GraphRAG / KAG pipeline and a graph-grounded agent
A reliability pack — guardrails, an evaluation harness and governance
Your end-to-end reliable agentic-automation system + governance pack — ready to take back to your team.
Tools & Standards
Every skill is taught on open standards, and each topic names the mainstream tool you'd actually use — with Sapiento offered where it fits.
Standards & languages: OWL 2, SHACL, RDF / RDFS, SPARQL 1.1, Common Logic / CLIF, R2RML / RML, GQL, GraphQL, G-OWL.
Tools you'll use: Protégé / WebProtégé, DL reasoners (HermiT, ELK, RDFox), Ontop (OBDA / virtual knowledge graphs), Neo4j, theorem provers & model finders, GraphRAG / KAG frameworks, evaluation harnesses (DeepEval, RAGAS), and Model Context Protocol (MCP) tooling.
Enrolment and Pricing
Choose your country and booking type to see your price and available early-bird discounts.
We offer fair pricing for developed and developing economies. Discounts vary depending on how early you book and whether you are self-funded, company-funded, or part of a team.
This tool provides an estimate. Final amounts, including any applicable taxes, will be confirmed at enrolment.
The course fee includes:
✔ Certificate of completion (CEUs)
✔ All course materials & templates
✔ Full session recordings
✔ Hands-on labs building your end-to-end system
Be first in line for Course 2
Dates are being finalised —
register your interest and we'll let you know the moment booking opens.
Please contact us if you want to arrange an in-person or in-house course and we will review the request.
New to the pathway? Start with Course 1.
Engineering Reliable Agentic Automation builds on it — begin there, and step up to Course 2 when you're ready.
Building Shared Meaning
Why Inspired?
Few providers can take you from shared meaning all the way to verified ontologies, an operational semantic layer, and AI that acts reliably. Inspired can, because we've spent decades building the methods that connect them.
This course draws on 40+ years of industry experience and 25+ years developing practical enterprise-architecture, requirements and design techniques, applied in real organisations across banking, assurance, 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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Not necessarily. Course 2 is advanced and assumes the foundation Course 1 builds — RDF/OWL, SPARQL and property graphs, plus programming familiarity such as Python. If you already model in RDF/OWL and code, you can come straight in. If those are new to you, start with Course 1 (Building Shared Meaning) — and Course 1 delegates lock in 30% off Course 2.
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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.