Certified LLMOps Professional — LLM Application Operations, RAG, Guardrails & Evaluation

Certification Overview

The Certified LLMOps Professional credential validates your ability to operationalize LLM applications — prompt versioning and management, RAG pipeline reliability, LLM observability, guardrails, evaluation, and cost-optimized inference. This certification demonstrates you can productionize LLM applications with the same discipline as traditional software.

Who Should Enroll

• ML engineers deploying LLM applications to production
• Backend engineers building RAG pipelines and LLM features
• Platform engineers building LLM infrastructure
• AI engineers needing production LLM operations skills

Skills Validated

• Prompt Management: Version-controlled prompts, A/B testing, CI/CD for prompt changes
• RAG Operations: Embedding freshness, retrieval quality, chunking optimization, vector DB operations
• LLM Observability: Token usage, latency, cost tracking, output quality monitoring
• Guardrails: NeMo Guardrails, input/output filtering, PII detection, jailbreak prevention
• Evaluation: LLM-as-judge, RAGAS, groundedness, relevance, faithfulness scoring
• Inference Optimization: Model serving, caching, batching, cost-optimized routing

Assessment Structure

Practical Lab (build a production LLM application with RAG, observability, and guardrails), Capstone Project (LLMOps platform for multi-model LLM application), Scenario-Based Evaluation.

Career Outcomes

Roles: LLMOps Engineer, AI Platform Engineer, GenAI Operations Engineer, MLOps Engineer (LLM specialization).