The syllabus follows the MLOps and LLMOps Engineering exam domains, with the most time spent on the heaviest-weighted areas and your weakest topics.
Experiment, data, model, and prompt versioning
CI/CD/CT and feature/data quality
Serving, rollout, monitoring, and drift
Governance, security, reliability, and lifecycle
LLM evaluation, tracing, and cost
Domain weights come from the published exam outline used in PrepKloud projects. We recheck the latest official AI Engineering objectives with you in the first session.