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AI Quality & Operations
The AI Quality & Operations pathway brings together 6 knowledge assessments within AI & Agentic Systems. Compare subjects such as AI Evaluation Specialist; LLMOps Practitioner; MLOps Practitioner; AI Observability Analyst, review their specific coverage and choose the discipline that best matches your knowledge.
Get a certificateRead the scope, evidence format and assessment criteria before you begin.
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Choose your discipline
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AI Evaluation Specialist
Criteria; benchmark; human evaluation; measurement errors
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LLMOps Practitioner
Prompts and model versions; monitoring; tests; rollback
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MLOps Practitioner
Model pipelines; registries; deployment; drift
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AI Observability Analyst
Execution traces; quality; latency; cost; incidents
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AI Cost Optimization
Token economics; caching; routing; quality versus price
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Prompt & Context Engineer
Instructions; examples; contextual constraints; systematic evaluation
CertMetrica
A conversation with a purpose
- Choose your discipline
Read the scope, evidence format and assessment criteria before you begin.
- Explain your thinking
50 required tasks: 49 questions and a final problem-solving essay of 3–10 sentences.
- Understand your result
To pass: a score strictly above 90% and no more than 5 incorrect or partly correct answers out of 50.
Your certificate
A certificate with context
The certificate identifies the discipline and the assessment version. It confirms successful testing, without conferring a professional license, academic degree or permission to practice.
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