The syllabus follows the AI Evaluation and Observability Engineering exam domains, with the most time spent on the heaviest-weighted areas and your weakest topics.
Evaluation-set design
Retrieval and answer metrics
Safety and adversarial evaluation
Release decisions and lineage
Telemetry design
Quality and operational SLOs
Alerting and triage
Incident response and recovery
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.