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Retrieval Augmented Generation (RAG) Course

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

What will I learn?

This concise, hands-on Retrieval Augmented Generation (RAG) course teaches you to create dependable, contextually grounded AI responses from intricate documentation. You will cover data ingestion, chunking techniques, embeddings, vector databases, retrieval methods, prompt engineering, hallucination mitigation, safety protocols, and user interface design, alongside thorough evaluation, monitoring, and iterative improvements to ensure your RAG systems remain precise, up-to-date, and straightforward to manage.

Elevify advantages

Develop skills

  • Design RAG pipelines to build grounded question-answering over complex product documentation swiftly.
  • Engineer retrieval by tuning hybrid search, similarity metrics, and filters.
  • Model documents by crafting metadata, versioning, and provenance for RAG.
  • Build vector stores by selecting embeddings, ANN indexes, and scaling strategies.
  • 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 lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...
Giulio Carlo
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 Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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