Udemy – LangGraph Mastery: Develop LLM Agents with LangGraph 2024-8

Published on: 2024-09-01 14:11:18

Categories: 28

Description

LangGraph Mastery Course: Develop LLM Agents with LangGraph. This exciting new course teaches you how to develop artificial intelligence applications based on large-scale linguistic models (LLM) using LangGraph. By taking this course, you’ll find the ability to seamlessly integrate LLM agents into your programs and open up a whole new world of possibilities. We are witnessing rapid advancements in AI capabilities and seeing huge leaps in this field every year. This rapid development has the potential to significantly reshape our world in the coming years. Three major improvements that are set to have a profound impact are: infinite text windows, text-to-action, and agents. Agents: The New Frontier of Artificial Intelligence Agents are automated intelligent beings designed to perform tasks, process information, and interact within a linguistic framework. These factors significantly expand the potential of artificial intelligence in various fields. Agent-based artificial intelligence is revolutionizing industries, offering advanced applications in areas such as legal document analysis, medical diagnostics, and software development. Imagine having an army of skilled programmers developing software solutions for you 24/7. In this course, we’ll explore LangGraph, an extension of LangChain specifically designed to work with multi-agent flows. LangGraph allows for the creation of highly configurable and controllable workflows that are ideal for complex scenarios. We’ll also explore LangSmith, a platform for tracking and debugging your LLM applications in production.

What you will learn

Creating a ReAct agent from scratch
Deep understanding of LangGraph core concepts and components
Implementation of advanced agents
Deep exploration of nodes, edges, and conditional edges
Introduction to Tavily AI and factor search
Understanding LLM patterns such as reflection and reflection
Getting to know LangSmith and learning how to debug and trace LLM programs with it
Learning flow engineering
This will be a hands-on learning experience. Together, we will create a functional LLM program step-by-step and line-by-line.
Projects: 1. Creating a ReAct agent from scratch 2. Developing a chatbot application using LangGraph 3. Building a tweet generator using reflection 4. Creating an article writer

This course is suitable for people who

Software developers who want to create productive AI applications using LangChain and LangGraph.
Enthusiasts who want to explore the new frontier of LLM agents.

Course specifications LangGraph Mastery: Develop LLM Agents with LangGraph

Publisher: Udemy
Instructor: Andrei Dumitrescu , Crystal Mind Academy
Training level: beginner to advanced
Training duration: 2 hours and 59 minutes
Number of courses: 50

Course headings

LangGraph Mastery: Develop LLM Agents with LangGraph

LangGraph Mastery course prerequisites: Develop LLM Agents with LangGraph

This course is not for beginners. Good knowledge of Python and LangChain is required.
Proficiency in Python and LangChain, including knowledge of flow control, data structures, functions, type annotations, OOP, environment variable management, OpenAI ChatCompletions API, Prompt Templates, Chains, and Output Parsers.