LangGraph- Develop LLM powered AI agents with LangGraph

Welcome to first **LangGraph Udemy course** - Unleashing the Power of LLM Agents! This comprehensive course is designed to teach you how to QUICKLY harness the power the LangGraph library for LLM agentic applications. This course will equip you with the skills and knowledge necessary to develop cutting-edge LLM Agents solutions for a diverse range of topics. Please note that this is not a course for beginners. This course assumes that you have a background in software engineering and are proficient in Python & LangChain. I will be using Pycharm IDE but you can use any editor you'd like since we only use basic feature of the IDE like debugging and running scripts . The topics covered in this course include: - LangChain - LCEL - LangGraph - Agents - Multi Agents - Reflection Agents - Reflexion Agents - LangSmith - CrewAI VS LangGraph - Advanced RAG - Corrective RAG - Self RAg - Adaptive RAG - GPT Researcher LangGraph Ecosystem: 1 LangGraph Studio / LangGraph IDE 2 LangGraph Cloud API 2 LangGraph Cloud Managed Service Throughout the course, you will work on hands-on exercises and real-world projects to reinforce your understanding of the concepts and techniques covered. By the end of the course, you will be proficient in using LangGraph to create powerful, efficient, and versatile LLM applications for a wide array of usages. This is not just a course, it's also a community. Along with lifetime access to the course, you'll get: Dedicated troubleshooting support with me Github links with additional AI resources, FAQ, troubleshooting guides No extra cost for continuous updates and improvements to the course DISCLAIMERS 1. Please note that this is not a course for beginners. This course assumes that you have a background in software engineering and are proficient in Python. I will be using Pycharm IDE but you can use any editor you'd like since we only use basic feature of the IDE like debugging and running scripts.