RAG for Beginners (Intermediate): Build a Document Q&A Assistant

Learn the practical foundations of RAG: chunking, embeddings, retrieval, and grounded answers.

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... English
... Certificate Course
... 0 Students
... 06h 30m

Course Overview

About This Course

RAG helps LLMs answer using your documents. In this course you will build a document Q&A assistant and learn what makes retrieval actually work.

What You Will Learn

  • Chunking strategies that work
  • Embeddings and similarity search basics
  • Retrieval tuning (top-k, filters)
  • Grounded prompting for better answers
  • Simple evaluation checklist

Duration

7–10 hours (self-paced).

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Requirment

  • Intermediate Python (functions, modules, virtual env)

  • Basic LLM/prompt familiarity is helpful

  • Ability to run a small Python project

Outcomes

  • Build a working RAG document assistant

  • Choose effective chunking and retrieval settings

  • Reduce hallucinations with grounded prompting

  • Debug retrieval quality using a checklist

Instructor

...
Dr. Kay

1.8

  • ... 13 Students
  • ... 92 Courses
  • ... 2 Reviews

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    Students

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    Language

    English
  • ...

    Duration

    06h 30m
  • Level

    intermediate
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    Expiry period

    Lifetime
  • ...

    Certificate

    yes
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