Udemy – Master LangChain: Build LLM Apps & RAG Pipelines with Python

File Name:	Master LangChain: Build LLM Apps & RAG Pipelines with Python
Content Source:	https://www.udemy.com/course/master-langchain-llm-apps-rag-pipelines-python
Genre / Category:	Programming
File Size :	10.1 GB
Publisher:	Pratham Chandratre
Updated and Published:	November 1, 2025

Product Details

Unlock the power of LangChain — the revolutionary framework transforming how developers build Generative AI and LLM-powered applications. In this hands-on, end-to-end LangChain course, you’ll learn to design, code, and deploy real-world AI apps that use Retrieval-Augmented Generation (RAG), Embeddings, and Vector Databases like FAISS and Pinecone.

By the end, you won’t just understand LangChain — you’ll be building production-grade AI systems that connect Large Language Models (LLMs) directly to your data.

What You’ll Learn:

1. Understand what LangChain is and why it’s essential for building LLM-powered systems
2. Explore LangChain components, packages, and supporting libraries
3. Manage API keys and environment variables securely
4. Build your first LangChain-powered LLM app step-by-step
5. Master Prompt Templates, Chaining Mechanisms, and Output Parsers (String, JSON, Pydantic)
6. Work with Document Loaders to ingest PDFs, text files, and web pages
7. Learn advanced Text Splitting techniques for context optimization
8. Create and use Embeddings with Hugging Face and Ollama
9. Integrate and optimize Vector Databases for fast information retrieval
10. Implement FAISS and Pinecone vector stores in real projects
11. Build and deploy a complete RAG pipeline using LangChain

Why This Course?

This isn’t just another AI theory class — it’s 100% project-driven.

You’ll code alongside your instructor, Pratham Chandratre, and build multiple real-world AI apps that connect LLMs to real data sources. Each module moves you from concept → implementation → deployment, with clear explanations, practical examples, and hands-on exercises.

By the end, you’ll have a complete portfolio of working AI projects that you can showcase to employers or clients.

Who This Course Is For:

AI & Data Science Students who want to step into the world of Generative AI
Developers & Engineers looking to integrate LLMs into their applications
Researchers & Innovators exploring RAG pipelines and intelligent retrieval systems
Tech Professionals building next-gen products with LangChain, OpenAI, and Python

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