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Compare up to three published courses by skills, level, duration, prerequisites and certification requirements.
| Compare | Retrieval-Augmented Generation (RAG) |
|---|---|
| Level | Intermediate to Advanced |
| Duration | 24–40 hours |
| Format | Self-paced course |
| Access | Premium access |
| Skills | ingestion, indexing, query, retrieval, prompt construction, generation, PDF/text/HTML ingestion, metadata extraction, normalization, deduplication, document IDs, fixed-size chunking, overlap, semantic chunking concept, structure-aware chunking, chunk metadata, dense retrieval, metadata filtering, top-k, hybrid retrieval concept, reranking concept, context formatting, source attribution, instruction hierarchy, answer-from-context rules, abstention, retrieval failure, context failure, generation failure, lost-in-context intuition, prompt issues, retrieval recall/precision intuition, groundedness, answer relevance, test sets, qualitative error analysis, API layer, vector store, LLM, logging, citations, configuration, evaluation harness |
| Modules | 8 |
| Prerequisites | Embeddings and Vector Search; Hugging Face/LLM basics |
| Assessment | Course assessment |
| Certificate | Completion requirements apply |