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Retrieval Augmented Generation (RAG) Course

Retrieval Augmented Generation (RAG) Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

This practical RAG course teaches building reliable AI responses from complex documents. Cover data ingestion, chunking, embeddings, vector databases, retrieval methods, prompt engineering, hallucination mitigation, safety measures, user interface design, plus evaluation, monitoring, and iteration for accurate and maintainable RAG systems.

Elevify advantages

Develop skills

  • Design RAG pipelines for quick QA on complex documents.
  • Optimise retrieval with hybrid search, metrics, and filters.
  • Structure documents using metadata, versioning, and tracking.
  • Implement vector stores selecting embeddings and scalable indexes.
  • Assess and track RAG performance via tests, alerts, and experiments.

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 workload.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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