Langgraph- Develop Llm Powered Agents With Langgraph 
Published 5/2024 
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz 
Language: English

| Size: 1.07 GB[/align]
| Duration: 1h 42m 
Learn LangGraph by building FAST a real world generative ai LLM Agents (Python)

[b]What you'll learn[/b]

Become proficient in LangGraph

Implement Advanced Agents

Have end to end working LangGraph based generative AI agents

Understand how to navigate inside the LangGraph opensource codebase

[b]Requirements[/b]

This is not a beginner course. Solid software engineering concepts are needed

I assume students will be familiar software engineering subjects such as: LangChain, git, python, pipenv, environment variables, classes, testing and debugging

[b]Description[/b]

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:LangChainLCELLangGraphAgentsReflection AgentsReflexion AgentsLangSmithThroughout 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 meGithub links with additional AI resources, FAQ, troubleshooting guidesNo extra cost for continuous updates and improvements to the courseDISCLAIMERSPlease 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.

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 What is LangGraph

Lecture 3 Flow Engineering

Section 2: Reflection Agent

Lecture 4 What are we building?

Lecture 5 Project Setup

Lecture 6 Creating the Reflector Chain and the Tweet Reviosr Chain

Lecture 7 Defining our LangGraph Graph

Lecture 8 LangSmith Tracing

Lecture 9 Personal Message

Section 3: Reflexion Agent

Lecture 10 What are we building?

Lecture 11 Project Setup

Lecture 12 Actor Agent

Lecture 13 Revisor Agent

Lecture 14 Tool Executor Agent (Part A)

Lecture 15 Tool Executor Agent (Part B)

Lecture 16 Tool Executor Agent (Part C)

Section 4: Production

Lecture 17 Agents In Production

Section 5: Troubleshooting Section

Lecture 18 Have a technical issue? WATCH THIS FIRST. I Promise this will help!

Lecture 19 Bonus

Software Engineers that want to learn how to build Generative AI based applications with LangChain,Backend Developers that want to learn how to build Generative AI based applications with LangChain,Fullstack engineers that want to learn how to build Generative AI based applications with LangChain

https://fikper.com/AzDtOVfQeZ/LangGraph.Develop.LLM.powered.agents.with.LangGraph.zip.html

https://rapidgator.net/file/7c70925602d9aaf28c62804c84108b7e/LangGraph.Develop.LLM.powered.agents.with.LangGraph.zip

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