Courses/AI & Machine Learning

AI & Machine Learning

LangChain & RAG: Building AI Applications

Name: LangChain & RAG: Building AI Applications
Rating: 4.9 (1890 reviews)

Build production-grade AI applications using LangChain, vector databases, and Retrieval-Augmented Generation.

4.9(1,890 ratings)8,900 students30 DaysAdvancedHindi + English

Amit A.

AI/ML Engineer & Manager

LangChain & RAG: Building AI Applications

Overview

Learn to build AI agents and RAG pipelines with LangChain, connect LLMs to your own data using vector databases, and ship real applications.

Skills You'll Learn

LangChain

RAG Pipelines

Vector Databases

AI Agents

Tool Calling

Prerequisites

Python
Basic LLM/API knowledge

Course Roadmap

Module 1

Modules 1–2: RAG Fundamentals → Embeddings & Vector Databases

Understand retrieval-augmented generation properly. The retrieval half of RAG.

Module 2

Modules 3–4: Building with LangChain → Production RAG Systems

Use the standard framework for LLM apps. Build RAG systems that actually work well.

Course Curriculum

4 modules · 4 quizzes

Why RAG over fine-tuning
Retrieval basics
The RAG pipeline end-to-end

What embeddings actually are
Vector DB options
Similarity search

Chains & agents basics
Document loaders & splitters
LangChain retrieval integration

Chunking strategies
Evaluating RAG quality
Handling hallucinations & citations

Projects

Chat with Your Documents

A RAG app answering questions over uploaded PDFs.

LangChainVector DB

Company Knowledge Base Assistant

A RAG assistant over a multi-document knowledge base with citations.

LangChainEmbeddings

Assignments

Build a Document Loader Pipeline

Medium

Load, chunk, and embed a set of documents.

Implement Similarity Search

Medium

Query a vector store and return the most relevant chunks.

Reduce Hallucinations

Hard

Add citation grounding to reduce unsupported answers.

Tech Stack

LangChainPinecone

Meet Your Instructor

Amit A.

AI/ML Engineer & Manager

12+ years of Experience in AI/ML, LLM, GenAI, MLOps and production AI System etc.

Certificate You'll Earn

CERTIFICATE ID: LNTRN-UPSK-000000

Your Name Here

Successfully completed the LangChain & RAG Certificate at Lunetron Web Services. We appreciate their dedication and wish them success in their career.”

ISSUING DATE - 27TH MARCH, 2026

Certified AI application developer.

Student Reviews

The Machine Learning and Deep Learning courses are incredibly well structured. The instructors explain complex concepts simply, and the capstone project became the centerpiece of my portfolio.

Aarush Rai

B.Tech / AI-ML

I liked the hands-on approach of the training. Working on assignments and mini projects made the concepts easier to understand, and the AI/ML introduction was a useful addition to the course.

Divyanshu Mishra

B.Tech / AI-ML

The Machine Learning and Deep Learning courses are incredibly well structured. The instructors explain complex concepts simply, and the capstone project became the centerpiece of my portfolio.