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Retrieval Augmented Generation (RAG) Course

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

What will I learn?

This practical RAG Training teaches you to create dependable AI responses from detailed documents. Cover data intake, splitting texts, creating embeddings, managing vector databases, retrieval methods, crafting prompts, reducing errors, ensuring safety, improving user interaction, plus thorough testing, tracking, and refining to keep RAG systems precise, up-to-date, and simple to manage.

Elevify advantages

Develop skills

  • Design RAG systems: create reliable question-answering over detailed product guides quickly.
  • Optimise retrieval: adjust hybrid searches, similarity measures, and filtering options.
  • Structure documents: develop metadata, version control, and tracking for RAG use.
  • Construct vector databases: select embeddings, fast indexing, and growth strategies.
  • Assess and track RAG: implement test frameworks, change detection, and comparison trials.

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.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to switch platforms... I thank you 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 switch 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, simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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