Udemy - The Complete Langchain and Rag Developer Course 2026

The Complete Langchain & Rag Developer Course 2026

https://WebToolTip.com

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.31 GB | Duration: 3h 0m

Master LangChain, RAG, OpenAI, FAISS & ChromaDB to Build Production-Ready AI RAG Applications in Python

What you'll learn
Build complete Retrieval-Augmented Generation (RAG) applications from scratch using Python and LangChain.
Build AI applications using LangChain and OpenAI APIs.
Understand the fundamentals of RAG, embeddings, vector databases, and semantic search.
Process PDFs, CSVs, and DOCX files for Retrieval-Augmented Generation systems
Implement advanced chunking strategies for improved retrieval performance.
Create embeddings and perform similarity search using FAISS and ChromaDB.
Build scalable AI workflows using LangChain Runnables.
Engineer prompts for more accurate and reliable LLM responses.
Parse structured outputs using Pydantic models.
Assemble a complete production-ready RAG pipeline from scratch.
Gain hands-on experience through a real-world capstone project.

Requirements
Basic Python programming knowledge is recommended.
A computer with internet access (Windows, macOS, or Linux).
No prior experience with LangChain is required.
No prior knowledge of Retrieval-Augmented Generation (RAG) is required.
No Machine Learning or Deep Learning background is necessary.
Enthusiasm to build real-world AI applications using modern Generative AI tools.