L1 Practitioner
Rubric (v1)
| Criterion | Weight | Must pass |
|---|---|---|
| Use case clarity and value | 20% | — |
| Correct agent/workflow classification | 15% | — |
| Control-layer coverage | 25% | ● |
| Risk identification | 20% | ● |
| Communication quality | 20% | — |
Common literacy: agents vs chatbots, control layers, risk identification.
Visit courseCost
Free
Duration
—
Type
internal_level
Levels
1
| Criterion | Weight | Must pass |
|---|---|---|
| Use case clarity and value | 20% | — |
| Correct agent/workflow classification | 15% | — |
| Control-layer coverage | 25% | ● |
| Risk identification | 20% | ● |
| Communication quality | 20% | — |
Full curriculum, deliverables, capstone, and pass criteria.
Duration
2 weeks (assuming 2 hours per day)
Audience
All roles involved in AI delivery — engineers, product owners, business analysts, QA, delivery leads, client-facing consultants.
Establishes common literacy. A certified practitioner understands what agents are, when they are appropriate, what makes them risky, and how to map an agent workflow into control layers.
Select one realistic workflow and produce a one-page agent opportunity canvas covering business problem, proposed agent role, users and stakeholders, data sources, tools and systems, human approval points, risks and controls, success metrics.
Example scenarios
Artifact review and short presentation. Weighted: use case clarity (20%), classification (15%), control-layer coverage (25%), risk identification (20%), communication quality (20%).
Score ≥75% overall and no zero-score on risk identification or control-layer coverage.