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Safaa Khadim

RAG 101: Build AI Systems with Your Own Data

Explore Safaa Khadim’s RAG course on chunking, embeddings, indexing, semantic and hybrid search, reranking, filtering and grounding failures.

PaidBeginner2–4 hoursEnglishCertificateRetrieval-Augmented Generation (RAG)
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Opens on the provider’s site. Check current access and certificate terms there.

Course overview

Safaa Khadim develops RAG through the reasoning behind chunking, embeddings, indexing and retrieval choices. Semantic search, hybrid approaches and reranking provide alternatives to compare. It suits learners who want to understand why a pipeline retrieves the wrong evidence and how to investigate that failure before changing the generation prompt.

What you will learn

  • Explore chunking, embeddings and indexing.
  • Compare semantic search, filtering and reranking.
  • Diagnose weak retrieval and unsupported answers.

Who this suits

Learners beginning technical RAG study; review the provider’s coding and environment requirements before attempting the walkthroughs.

Before you enroll

Model APIs, vector databases and hosting may cost extra. Verify package versions before reproducing demonstrations. Use fictional or permissioned documents and test access controls. Evaluate retrieval quality separately from answer quality, include questions the documents cannot answer and check citations. A working demonstration does not establish factual accuracy, resistance to malicious documents or production reliability.

Udemy offers paid purchase or subscription access depending on the current course and region. Paid teaching courses provide completion certificates under Udemy’s policy. Check current access terms and any separate software or material costs before enrolling.

Put it into practice

Build a small test set containing exact-name and paraphrased queries, then compare retrieved passages and document one failure that needs a different search approach.

Source and review

This overview is based on the provider's published information, checked on . It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

Where a formal level is unavailable, the level filter is an editorial estimate based on the published audience and requirements. Duration filters reflect the listed video time; exercises and independent practice can take longer.

View the curriculum and current access options at Udemy.

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At a glance

Provider
Udemy
Learning format
Course
Price
Paid
Level
Beginner
Study time (approx.)
2–4 hours
Language
English
Certificate
Available; check provider terms
Created by
Safaa Khadim
Category
Retrieval-Augmented Generation (RAG)
Subjects
Data Science and Machine Learning, Artificial Intelligence
Page updated
12 Oct 2026