Four claims nobody checked, and one move that refuses them: write the terminology down, compile it into constraints, bind the claim to the thing it is about, and let a checker say no. You will separate terminology from assertions, read a SHACL shape line by line and the report it produces, watch a validator answer three ways rather than two, compute coverage as a set difference, and handle type hierarchies by deriving the closure offline so the checker on the path stays a string match. The course ends where it started: an agent's write path, and the one position from which something can refuse a change before it lands. None of this makes a model correct. It makes wrongness land somewhere visible, with a name, before it reaches anyone who would have believed it.

Grounded AI: Knowledge Graphs and Validation for Agents
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Grounded AI: Knowledge Graphs and Validation for Agents
This course is part of Agentic Machine Learning in Rust Specialization

Instructor: Noah Gift
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Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
6 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Tell terminology from assertions, and write the axioms a corpus needs before it can even be wrong
Read and write SHACL shapes, and read the report a violation produces: node, path, value
Place a constraint outside the model, on the output side, where it can refuse
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September 2026
Assessments
5 assignments
Taught in English
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This course is part of the Agentic Machine Learning in Rust Specialization
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