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 built on complex technical documents, keeping your solutions reliable and efficient.
flexible workload of 4 to 360h
valid certificate 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 crafting, 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 swiftly build reliable QA over detailed product documents.
- Engineer retrieval systems with hybrid search, similarity measures, and effective filters.
- Model documents using metadata, versioning, and provenance tracking for RAG.
- Build vector stores selecting optimal embeddings, ANN indexes, and scaling strategies.
- Evaluate and monitor RAG through test suites, drift detection, and A/B testing.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana FerresPhotography Student
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The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
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