HVE Sample Labs
Up: HVE · Curriculum: HVE Teaching Plan
First Sample Set
These are small local prototypes using synthetic insurance data. They exercise HVE practices without requiring Azure, Fabric, or a live model endpoint. They do not demonstrate a deployed AI application or validate HVE integration.
| Sample | Primary focus | Suggested participants | Proposed time |
|---|---|---|---|
| Sample - Claims Validation | Bounded code change and edge cases | Application practitioners; leads review | 30–45 min |
| Sample - Claims Summary | Data contract and reproducible aggregation | Data/AI practitioners; engineers | 30–45 min |
| Sample - Evidence Review and Handoff | Acceptance, uncertainty, accountable handoff | All personas, especially product/delivery | 20–30 min |
Times are planning estimates. The first two include runnable starter code, acceptance checks, and instructor reference implementations under HVE Samples/. The third includes a static handoff packet and instructor key. Keep instructor material out of learner distributions.
Shared Exercise Pattern
- Read the brief and acceptance criteria. State the missing evidence or decision.
- Choose whether bounded research is necessary; cite existing evidence when sufficient.
- Write or generate a small plan, then obtain the exercise partner’s approval.
- Implement the bounded change, preserving input data and unrelated behavior.
- Run checks, inspect the diff, and compare the outcome against requirements.
- Record acceptance and the next owner for any remaining work.
This is our teaching scaffold. Microsoft’s RPI guide permits adequate evidence reuse and optional acceptance review; the assessed exercise intentionally requires a review record.
Prototype Boundaries
The sample checks are acceptance examples, not a complete production test suite. A reference solution demonstrates one valid approach, not the only acceptable implementation. No learner completion or HVE/Copilot execution has been observed yet.
Next: test these in the planned environment, measure actual time, add learner feedback, and revise Competency and Evaluation Goals.