Retrieval Augmented Generation (RAG) Course
Gain expertise in Retrieval Augmented Generation (RAG) for practical applications. Delve into ingestion, chunking, embeddings, retrieval techniques, evaluation, and safety protocols to deliver trustworthy, low-hallucination AI systems based on complex technical documents, keeping your solutions reliable and maintainable over time.
from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
This practical RAG Training equips you to create dependable AI responses from intricate documents. Master data ingestion, chunking, embeddings, vector databases, retrieval methods, prompt engineering, hallucination mitigation, safety measures, and user interfaces, alongside thorough evaluation, monitoring, and refinement to ensure your RAG setups remain precise, up-to-date, and simple to manage.
Elevify advantages
Develop skills
- Design RAG pipelines to rapidly build reliable QA over complex documents.
- Engineer retrieval with hybrid search, similarity measures, and filters.
- Model documents using metadata, versioning, and provenance tracking.
- Build vector stores selecting embeddings, ANN indexes, and scaling methods.
- Evaluate and monitor RAG via test suites, drift detection, and A/B testing.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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