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Krishna Tadi

RAG Foundation Course: End-to-End Generative AI Basics

Explore Krishna Tadi’s RAG introduction on pipeline architecture, document chunking, retrieval approaches and prompt design for grounded responses.

PaidBeginner0–2 hoursEnglishCertificateRetrieval-Augmented Generation (RAG)
Go to course

Opens on the provider’s site. Check current access and certificate terms there.

Course overview

Krishna Tadi introduces RAG through its architecture and the decisions made between a source document and a generated answer. Chunking, retrieval patterns and prompts provide the main conceptual sequence. It suits learners seeking a short orientation before a larger implementation course, with independent exercises useful for checking whether each pipeline stage is understood.

What you will learn

  • Understand RAG architecture and pipeline stages.
  • Explore chunking and retrieval approaches.
  • Relate prompts to retrieved context.

Who this suits

No prior RAG experience is required; basic AI, LLM or Python knowledge is helpful but not necessary according to the provider.

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

Split a short fictional document in two different ways and explain which boundaries better preserve the context needed to answer a test question.

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.)
0–2 hours
Language
English
Certificate
Available; check provider terms
Created by
Krishna Tadi
Category
Retrieval-Augmented Generation (RAG)
Subjects
Data Science and Machine Learning, Artificial Intelligence
Page updated
12 Oct 2026