LangGraph 01: Syllabus Introduction of End to End LangGraph Course | LangChain

🚀 Welcome to the End-to-End LangGraph Course Syllabus Introduction!

Are you ready to master LangGraph and take your AI and LLM skills to the next level? In this video, we’ll walk you through the comprehensive syllabus of our End-to-End LangGraph Course, designed for developers, data scientists, and AI enthusiasts. You'll get a deep dive into LangGraph essentials, learn how to build advanced RAGs (Retrieval-Augmented Generation), create multi-agent systems, and unlock the full potential of LangChain components in real-world projects.

🔑 What You'll Learn:

Core LangGraph Concepts: From Chains to DAGs and everything in between.
LangGraph vs Traditional Agents: Building smarter, modular AI workflows.
RAGs and CRAGs: Master Retrieval-Augmented Generations using LangGraph.
Multi-Agent Systems: Creating complex, interactive AI agents.
Real-World Applications: Hands-on projects to take your skills beyond theory.
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Advance/blob/main/LCEL(Langchain_Expression_Language).ipynb
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