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

Akhil

Senior Software Developer

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

Week 1

LangChain Core

Week 2

RAG Systems

Week 3

Agents

Week 4

Deployment

Course Curriculum

9 modules · 14 quizzes

Projects

Chat With Your Documents App

Full RAG pipeline over PDF documents.

LangChainPinecone

Assignments

Build a multi-tool AI agent

Hard

Agent with search + calculator tools.

Tech Stack

LangChainPinecone

Meet Your Instructor

Akhil

Senior Software Developer

6+ years in full stack Python development, Certified AWS Cloud Developer, AIML etc.

Certificate You'll Earn

LUNETRON UPSKILL

Certificate of Completion

Your Name Here

has successfully completed the course

LangChain & RAG Certificate

Certificate ID

LNTRN-UPSK-000000

Founder

Lunetron Web Services LLP

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.