LangChain: Chat with Your Data

About this course

LangChain: Chat with Your Data teaches you how to build intelligent chatbots that can understand and respond to questions about your own documents, databases, and knowledge sources. Created by DeepLearning.AI, a leader in practical AI education, this course bridges the gap between language models and real-world data — showing you how to make AI assistants that actually know your specific context. Whether you're building tools for customer support, research, or knowledge management, this course gives you the skills to do it.

What you'll learn

• How to use LangChain to connect large language models with external data sources and documents
• Techniques for retrieving relevant information from documents using vector embeddings and semantic search
• How to build conversational memory so your chatbot remembers context across multiple turns of dialogue
• Methods for preprocessing and chunking documents to make them searchable and queryable
• How to design and test prompts that guide AI models to use your data accurately and responsibly
• Practical patterns for handling edge cases like hallucinations and irrelevant answers
• End-to-end workflow for deploying a document-aware chatbot in real applications

Who this is for

This course is designed for learners who want to move beyond simple prompt engineering and build AI systems that work with real data. You should be comfortable with Python basics and curious about how production AI systems actually work.

• Software developers — master the technical architecture behind retrieval-augmented generation (RAG) and AI-powered applications
• Data professionals — learn to unlock value from your organisation's documents and databases using conversational interfaces

Prerequisites

Basic Python programming knowledge (variables, functions, loops) and a general understanding of how language models work. No prior experience with LangChain or embeddings required — the course teaches these concepts from first principles.

Why this matters for Indian learners

India's AI job market is growing fast, and retrieval-augmented generation (RAG) and chatbot skills are in high demand across tech companies, startups, and enterprises. From fintech platforms to e-commerce customer support, Indian companies are actively hiring engineers who can build AI systems that reason over company data. This course gives you a concrete, portfolio-ready skill that stands out in interviews and freelance projects alike.

Frequently asked questions

Is this course really free?

Yes, completely free. DeepLearning.AI offers this course at no cost — no hidden fees, no paid upgrades required.

How long will it take to complete?

The course is designed to take about 2 hours of active learning. You can complete it in one sitting or spread it across a week, spending 20–30 minutes per session on the hands-on exercises.

Will I get a certificate?

This course does not offer a completion certificate. However, the skills and code projects you build are portfolio-worthy and speak for themselves in job applications and freelance pitches.