LangGraph Workflow #1 – Prompting & Chaining (Part 1) | Building AI Workflows | Nidhi Chouhan

Description

Welcome to LangGraph Workflow Part 1: Prompting & Chaining 🚀 In this video, we’ll dive deep into how to connect LLM prompts with LangGraph chains to form a powerful AI workflow. You’ll learn how to use prompt templates, message flow, and chaining logic to build modular, reusable, and dynamic AI components. 💡 What You’ll Learn ✅ How prompting works inside LangGraph ✅ Using ChatPromptTemplate for structured messages ✅ Creating and linking chains between nodes ✅ Understanding prompt → response → next-node flow ✅ Visualizing chained workflows in LangGraph This session builds the foundation for agentic workflows — where multiple prompts, models, and tools work together seamlessly ⚙️ 📌 GitHub Repository (Code + Notes): 👉 https://github.com/dearnidhi/Agentic-AI-HandsOn-Bootcamp 📩 Connect with Me: ✉️ nidhiyachouhan12@gmail.com 📸 Instagram: @codenidhi | @dear_nidhi 💼 LinkedIn: https://www.linkedin.com/in/nidhi-chouhan-544650b4/ ✨ Don’t forget to LIKE 👍, SHARE 📢 & SUBSCRIBE 🔔 for more LangGraph & Agentic AI Bootcamp content! LangGraph Prompting, LangGraph Workflow, LangGraph Chaining, LangGraph Prompt Template, LangGraph Chains Tutorial, LangChain + LangGraph, LangGraph Nodes, LangGraph StateGraph, Agentic AI Bootcamp, LangGraph AI Workflow, LangGraph Prompt Flow, CodeNidhi LangGraph, Nidhi Chouhan LangGraph #LangGraph #LangChain #LangGraphWorkflow #LangGraphPrompting #LangGraphChaining #AgenticAI #LangGraphTutorial #CodeNidhi #NidhiChouhan #GenAI #AIBootcamp #MachineLearning #Python