Generative AI · TAMIL-FIRST LEARNING
RAG Fundamentals: Core Concepts Made Simple
Understand why RAG is used, its basic components, how retrieval supports an AI answer and how it differs from fine-tuning.
Online self-paced course
COURSE FOCUSA short answer with a visible source check.
MEANINGFUL COURSE EXAMPLE
Answer a question from a known document
As independent practice, identify relevant passages and check whether an AI answer stays within them.WHERE THIS SKILL FITS
See where this skill fits—and what employers expect next.
Organisations need AI experiences grounded in approved information, making retrieval, embeddings and evaluation valuable applied skills.These are possible directions, not a job guarantee. Check current role requirements and build practical evidence alongside the course.
COURSE SECTIONS
Follow the course sections.
These section names follow the current public course outline. Open the course for the latest lesson list.Retrieval-Augmented Generation
- Understand the name and the basic idea
RAG is Needed
- See why model knowledge alone can be insufficient
RAG Basic Components
- Identify the parts of a retrieval workflow
RAG Works
- Follow the question-to-answer sequence
RAG in Real-World AI
- Connect the concept with practical examples
RAG vs Fine-Tuning
- Understand the distinction at a beginner level
HOW TO PRACTISE
Use a small example to check your understanding.
Ask a question
Choose a small task related to the topic.
Retrieve context
Follow the idea and write down what happens.
Generate response
Try the next step yourself.
Check the source
Check your result and explain what you would change.
WHO THIS COURSE IS FOR
Is this the right course for you?
Check the audience, level and course preview before you enroll.READY TO BEGIN?