LangGraph- Develop LLM powered AI agents with LangGraph

Learn LangGraph by building FAST a real world LLM AI Agents (Python)
4.66 (1666 reviews)
Udemy
platform
English
language
Other
category
LangGraph- Develop LLM powered AI agents with LangGraph
14 419
students
7 hours
content
May 2025
last update
$79.99
regular price

What you will learn

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

LangGraph Ecosystem: LangGraph Studio/ IDE, LangGraph Cloud API, LangGraph Cloud Managed Service

Course Gallery

LangGraph- Develop LLM powered AI agents with LangGraph – Screenshot 1
Screenshot 1LangGraph- Develop LLM powered AI agents with LangGraph
LangGraph- Develop LLM powered AI agents with LangGraph – Screenshot 2
Screenshot 2LangGraph- Develop LLM powered AI agents with LangGraph
LangGraph- Develop LLM powered AI agents with LangGraph – Screenshot 3
Screenshot 3LangGraph- Develop LLM powered AI agents with LangGraph
LangGraph- Develop LLM powered AI agents with LangGraph – Screenshot 4
Screenshot 4LangGraph- Develop LLM powered AI agents with LangGraph

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Our Verdict

LangGraph - Develop LLM powered AI agents with LangGraph is an expert-level course that thoroughly covers LangGraph's diverse aspects. Despite occasional audio inconsistencies and beginner accessibility issues, its blend of theoretical concepts and practical examples cater to intermediate and advanced learners seeking proficiency in LangGraph for versatile AI applications. Overall, this Udemy offering stands out as one of the best courses on generative AI, particularly given the instructor's proactive course updates and prompt support.

What We Liked

  • Excellent balance of theory and practical examples, aiding in understanding LangGraph's application.
  • Covers various LangGraph topics such as Agents, Multi-Agents, and Reflexion Agents in depth.
  • Comprehensive course for intermediate to advanced Python/LangChain users seeking AI expertise.
  • Up-to-date content with active instructor involvement, ensuring learners are industry-relevant.

Potential Drawbacks

  • Audio quality inconsistencies across different sections can be distracting.
  • Limited beginner-friendly resources make it challenging for those new to software engineering or Python.
  • Some users may find specific examples repetitive, diminishing the hands-on learning experience.
  • More detailed explanations of framework design choices and motivations would enhance understanding.
5938898
udemy ID
23/04/2024
course created date
30/05/2024
course indexed date
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