LangGraph Mastery: Develop LLM Agents with LangGraph
Master the Power of LLM Agents with LangChain and LangGraph: Create AI Workflows, Automate Tasks and Transform Your Apps
4.47 (106 reviews)
1,840
students
5.5 hours
content
Mar 2025
last update
$19.99
regular price
What you will learn
How to create a ReAct agent from scratch.
Gain a good understanding of LangGraph concepts and core components.
Implement advanced agents.
Dive deep into nodes, edges, and conditional edges.
Learn about Tavily AI and agentic search.
Understand LLM patterns such as reflection and reflexion.
Explore LangSmith and learn how to debug and trace LLM applications with it.
Learn about flow engineering.
This will be a learning-by-doing experience. Together, we'll build agentic LLM apps step-by-step, line-by-line.
Create a Knowledge Base for RAG from Scratch
Projects: 1. Create a ReAct agent from scratch 2. Develop a ChatBot app using LangGraph 3. Build a Tweet generator using reflection 4. Create an essay writer.
Master Project 5: Build a Research Agent with LangGraph, GPT-4o, RAG, Pinecone, ArXiv, and Google SerpAPI
Learn how to build a complex agentic LLM app step by step.
Screenshots
6093183
udemy ID
7/25/2024
course created date
7/31/2024
course indexed date
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