Build Your First AI App with LangChain (Beginner Friendly, Step-by-Step)

Build your first real AI application using LangChain and OpenAI — step by step. No theory overload. No fake demos. Just clean, working code you can reuse. In this video, you’ll learn how to: Connect OpenAI to Python using LangChain Understand the LangChain pipeline (Prompts → Models → Chains) Make your first real model call Build a clean foundation for production-ready AI apps This episode is designed for developers, Python users, and AI beginners who want to build, not just watch. By the end of this video, you’ll have: ✔ A working LangChain setup ✔ A real OpenAI model call ✔ A clear mental model for AI pipelines ✔ Code you can extend in your own projects Timeline : 00:09 Build Your First AI App with LangChain 00:30 Why Developers Choose LangChain 01:18 The LangChain Pipeline Pattern 02:02 LangChain Building Blocks 02:39 Quick Setup — 2 Minutes 04:00 Your First LangChain Model Call 05:36 What You Just Built 06:16 Coming Up Next — Your First Real Chain 06:58 Thank You for Learning 🚀 Next Episode Preview In Episode 2, we build your first real LangChain chain with: Prompt templates Pipe operator Output parsers A reusable AI content generator 📌 Who this series is for Python developers AI & ML beginners Software engineers exploring GenAI Anyone tired of messy prompt code 👍 If this helped you, like the video 🔔 Subscribe for the full LangChain series 💬 Comment if you want a GitHub repo for this notebook