LangGraph Mastery: Develop LLM Agents with LangGraph (Udemy.com)
Master the Power of LLM Agents with LangChain and LangGraph: Create AI Workflows, Automate Tasks and Transform Your Apps
Created by: Andrei Dumitrescu
Last updated June 2026
What you will learn
- How to create ReAct agents 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.
How it compares
Against the other 461 rated Udemy courses in Data Science on CourseDuck:
- Rating4.4 out of 5higher than 28% of them
- Reviews755#181 of 462 by number of reviews
- Length5.4 hoursshorter than 65% of them
- Last updatedJune 2026more recently than 78% of them
Course Description
Welcome to this brand new course on LangGraph, which allows us to build agentic LLM applications. Unleash the Full Potential of AI with LangGraph & LangChain!
By the end of this course, you will be equipped with the skills to seamlessly integrate LLM agents into your applications, opening up new possibilities and horizons.
We are witnessing a rapid ascent in AI capabilities, with groundbreaking advancements occurring annually. This swift progress has the potential to significantly reshape our world in the coming years.
Three pivotal advancements are poised to make a profound impact: Infinite Context Windows, Text to Action, and Agents.
Agents: The New Frontier in AI
Agents are autonomous intelligent entities designed to perform tasks, process information, and interact within a language-based framework. These agents are significantly expanding the potential of AI across various domains.
Agentic AI is revolutionizing industries, offering enhanced applications in fields such as legal document analysis, medical diagnostics, and software development. Imagine an army of skilled programmers working around the clock to develop software solutions for you.
In this course, we will delve into LangGraph, an extension of LangChain specifically designed for agent and multi-agent workflows. LangGraph enables highly customizable and controllable agent flows, ideal for complex scenarios.
We will also explore LangSmith, a platform for tracing and debugging your production-grade LLM applications.
What You'll Learn:
Master LangGraph: Explore nodes, edges, and state management for advanced agent workflows.
LangChain Integration: Connect LLMs to real-world tools for powerful multi-agent applications.
Develop Autonomous Agents: Build agents that can observe, reflect, and improve with memory and tool observation.
RAG & Embeddings: Implement Retrieval-Augmented Generation (RAG) with Pinecone for enhanced search capabilities.
Debug & Scale: Use LangSmith to debug and trace production-grade AI applications.
Why Enroll in This Course?
Cutting-Edge Skills: You'll master LangGraph and LangChain, tools at the forefront of AI development.
Practical Applications: Build real-world AI solutions that can be integrated into businesses, research, and more.
Step-by-Step Guidance: Whether you're experienced in AI or just getting started, our comprehensive tutorials will guide you through each project.
Join the AI Revolution: The demand for AI professionals is skyrocketing—position yourself at the forefront by mastering these critical technologies.
Hands-On Projects:
ReAct Agent from Scratch: Build a fully functional agent with LangGraph.
Custom Chatbot: Develop an intelligent chatbot powered by LangChain.
Content Generation Tools: Create AI tools that generate essays, tweets, and more using LangGraph’s reflection pattern.
Master Project: Build a robust research agent integrating GPT-4, Pinecone, ArXiv, and Google SerpAPI.
Ready to build AI agents that can transform industries? Enroll now and take your AI development skills to the next level with LangGraph!
Looking forward to seeing you in the course!
Instructor Details
- 4.4 Rating
755 Reviews
Andrei Dumitrescu
Are you ready to master cutting-edge technologies like Python, AI & LLMs, Linux, and Ethical Hacking in a world that is changing faster than ever?
The digital revolution is reshaping industries, and those who adapt win the future—while those who don't risk falling behind.
With nearly two decades of experience as a Network and Software Engineer, I have seen firsthand how automation, AI, and cybersecurity are transforming the global tech landscape.
Now, I’m here to equip you with the disruptive, high-impact skills that will make you an in-demand professional in today’s rapidly evolving world.
⚡ Why Learn from Me?⚡
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Reviews
By Aleksandra Gencheva on 7/2/2026
The course was very informative and showed a lot of different tools to use with Agentic AI. It was very helpful to create a RAG and vector database index from scratch.
By Vijay Kumar on 3/21/2026
some other cources for LLM and Langgraph are better.
By Ederson Rodrigues on 12/26/2025
I am in the middle of the course yet, but for now the content was fully hands-on example that help me understand better the langgraph
By David Schmitz on 5/29/2025
Il s'agit d'une approche très pragmatique de LangGraph. Le projet final est vraiment bien. Cela donne envie d'aller plus loin. J'ai toujours apprécié les cours de ce formateur.
By Grzegorz Wasilewski on 2/24/2025
not a single minute wasted and gained loads of information to use, play and experiment with. Thank you very very much. All the best!
By Zahar Veigman on 2/10/2025
Well, overall OK, personally - I don't like the idea of adding OOP to the course since it is not related to the topic. Also, I wish more details on reasoning behind implementation since basic concept of LangGraph are explained on LangChain blog.
By Emmanuel Okonkwo on 12/26/2024
I chose this course because the tutor does slow down but to explain and teach. So far so good.
By Tom Schreck on 12/26/2024
this has been a fantastic introduction to LangGraph. This is exactly what I needed to get started.
By Manjunath Mahashetti on 12/2/2024
Great set of examples and good explanation of concepts for all examples. The examples also were very good! Enjoyed the course and learnt great concepts
By ABINASH KUMAR MISHRA on 9/12/2024
More use-case need to be covered
Quality Score
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Overall Score : 88 / 100












