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Retrieval Augmented Generation (RAG) Course

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

What Will I Learn?

This practical Retrieval Augmented Generation (RAG) course teaches building reliable AI answers from complex documents. Cover ingestion, chunking, embeddings, vector stores, retrieval strategies, prompt design, hallucination control, safety, user experience, plus evaluation, monitoring, and iteration for accurate, current, and maintainable RAG systems.

Elevify Advantages

Develop Skills

  • Design RAG pipelines to build grounded QA over complex product docs quickly.
  • Engineer retrieval with hybrid search, similarity metrics, and filters.
  • Model documents using metadata, versioning, and provenance for RAG.
  • Build vector stores selecting embeddings, ANN indexes, and scaling tactics.
  • Evaluate and monitor RAG using test suites, drift alerts, and A/B 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... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get 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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