The syllabus follows the Vector Search and RAG Engineering exam domains, with the most time spent on the heaviest-weighted areas and your weakest topics.
Embeddings, chunking, and metadata
Vector indexes, metrics, and filters
Hybrid retrieval, reranking, and evidence
Security, tenancy, freshness, and governance
Evaluation, operations, latency, 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.