RAG — Retrieval Augmented Generation Explained Simply

⏱ 14 min read 📝 Assignment inside No coding required

Welcome to Unit 4. In Units 1–3 you built prompt engineering skills and applied them to real work. Unit 4 goes deeper into how enterprise AI actually works — the architectures and techniques that power the AI systems being built at TCS, Infosys, Wipro, and HCL right now.

YOUR PROGRESS — GENERATIVE AI: ZERO TO JOB-READY ← Course home

14 of 20 modules complete

Understanding GenAI ✓ Prompt Engineering ✓ GenAI for Your Job ✓ Advanced Techniques Career & India

Fine-Tuning vs Prompting — When to Use Which

⏱ 13 min read 📝 Assignment inside Decision framework

You now understand prompting (Units 1–2), RAG (Module 4.1), and agents (Module 4.2). This module answers the question that comes up in almost every Indian IT AI project discussion: when is prompting enough, when should you use RAG, and when do you actually need to fine-tune?

Rag

Module 4.1: RAG — Retrieval Augmented Generation Explained Simply

RAG — Retrieval Augmented Generation Explained Simply

Module 4.3: Fine-Tuning vs Prompting — When to Use Which

Fine-Tuning vs Prompting — When to Use Which