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LangGraph for beginners : Agentic Workflows in simple steps (Udemy.com)

Learn to Build Intelligent Agents, One Step at a Time with Memory, RAG, Tool Calling & Human In The Loop

4.5
641 reviews

Created by: Bharath Thippireddy

Last updated September 2026

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What you will learn

  • What LangGraph is and how it fits into the GenAI ecosystem
  • Build your first LangGraph workflow using a state machine
  • Validate and structure your state using Pydantic models
  • Use async and streaming to build responsive applications
  • Implement conditional routing based on LLM output
  • Understand reducers and how they manage state transitions
  • Master tool calling with LangGraph’s built-in ToolNode
  • Learn about checkpointers, and apply both short-term (in-memory) and long-term (SQLite, Redis) memory storage
  • Build Agentic RAG workflows using tools and retrievers
  • Implement Human-in-the-Loop workflows using Interrupt and resume
  • Modularize complex graphs using subgraphs
  • Apply everything in a real-time Hospital Insurance Claim Management use case
  • Add tracing and observability using LangSmith
  • Explore essential agentic design patterns to scale your applications

How it compares

Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:

  • Rating4.5 out of 5higher than 45% of them
  • Reviews641#522 of 1,183 by number of reviews
  • Length3.2 hoursshorter than 69% of them
  • Last updatedSeptember 2026more recently than 95% of them

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Course Description

Are you ready to go beyond simple LLM apps and build powerful, stateful, and agentic workflows using LangGraph?

In this beginner-friendly course, you’ll master LangGraph, an open-source library built on top of LangChain, designed for orchestrating multi-agent applications using a graph-based architecture. Whether you’re building intelligent agents, dynamic RAG pipelines, or real-world enterprise solutions, this course gives you the solid foundation you need.


What You’ll Learn

• What LangGraph is and how it fits into the GenAI ecosystem

• Build your first LangGraph workflow using a state machine

• Validate and structure your state using Pydantic models

• Use async and streaming to build responsive applications

• Implement conditional routing based on LLM output

• Understand reducers and how they manage state transitions

• Master tool calling with LangGraph’s built-in ToolNode

• Learn about checkpointers, and apply both short-term (in-memory) and long-term (SQLite, Redis) memory storage

• Build Agentic RAG workflows using tools and retrievers

• Implement Human-in-the-Loop workflows using Interrupt and resume

• Modularize complex graphs using subgraphs

• Apply everything in a real-time Hospital Insurance Claim Management use case

• Add tracing and observability using LangSmith

• Explore essential agentic design patterns to scale your applications


Who This Course Is For

• AI developers looking to build production-grade agentic apps

• LangChain users who want to level up to graph-based orchestration

• Backend engineers interested in tool use, memory, and state control

• Anyone working on LLM workflows in real-world use cases


Prerequisites

• Basic Python knowledge

• Experience with LangChain


By the end of this course, you’ll be able to:

• Confidently build, scale, and debug LangGraph workflows

• Integrate LLMs, tools, memory, and human feedback into your apps

• Apply LangGraph in real-world business use cases like claim processing, customer support, and document analysis


Ready to master LangGraph and take your LLM applications to the next level?

Enroll now and start building intelligent, interactive agentic systems with ease!
Read More Beginner Beginner Level product length iconTime: 3.2h

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Instructor Details

Bharath Thippireddy

Bharath Thippireddy is an Entrepreneur, Software Architect, Author, Actor, and Public Speaker who has trained 950,000+ students across 209 countries.

He believes that learning is a crossing: from where you are to where you are capable of being. That belief drives every course he builds.

Bharath has mentored students and professionals across India and the USA, in classrooms, corporates, and agile conferences. He voluntarily teaches interview and soft skills at Vivekananda Kendra. He is the author of Hanuman's Leap, a book that takes the ancient wisdom of the Sundara Kanda and builds it into a complete framework for life's turning points. It comes out Diwali 2026. He is currently completing his Executive MBA at the Indian School of Business.

He loves learning, in technology and in life, and shares everything he discovers.

From 50+ courses with 950,000+ learners, you can pick a track and master:

Generative AI: OpenAI, LangChain, LangGraph, Agentic AI with n8n, Azure OpenAI, GitHub Copilot
Spring Boot: full stack projects with Angular and React
Angular and React: with Java or Node backends
Python: core Python through Django REST Framework
DevOps and Cloud: Docker, Kubernetes, AWS EC2, Elastic Beanstalk, Jenkins, GIT, and more
Java: Design Patterns, Web Services, Messaging Service
Spring: Security, Boot, Data with Hibernate, Data REST
Serverless: AWS Lambda

Read More

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Reviews

4.5

641 ratings on Udemy

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By PRATIKSHA BHUTA on 9/17/2026

Explained the concepts very accurately and with great examples for a new learner to understand and learn concepts easily

By Shahabuddin Nadeem on 6/30/2026

Exactly what I was needed. Just add some more projects

By David Bieber on 3/23/2026

This is a great introduction to langgraph so far. The exercises are helpful enough without being over complicated. Just enough to force me to recall stuff I just heard, and enough to remind me that I am not actually internalizing anything by simply listening.

By Jeronimo Robles on 2/18/2026

It was somewhat frustrating that I'm forced to use specific llm, you should give the option to set that up at the beginning of the project by setting that up in the .env which would have simplified the process and still show all the people taking the course another form of setting up the environment. Also some of the libraries were old by the time I took the course, and had to update the source. Finally I was unable to run some of the programs in the middle of the course which was as well very frustrating. Over all, I learned how to structure a langraph program and some different ways to think about the problem solutions. Thanks!

By Tuan Tran on 12/27/2025

The content is good. Easy to follow. Even though the content was updated recently, but it's time to update it again. Some of the APIs are deprecated or moved to different package.

By Anonymized User on 12/21/2025

Genuinely, I have seen and done many other courses. But sir, I only understood from your course ! You team very clearly and to the point, no other waste of time. I learned both Langchain and LangGraph in just 2 days ! And I feel so confident now. Your teaching method is really short and straight. Please keep it that way. Thank you so much for these two courses !

By Nicolas Alarie on 10/14/2025

This is exactly the type of content I was looking for to get a fundational knowledge on how to build multi-agent systems

By Arunkumar S on 9/27/2025

Excellent course for beginners with a very well-structured curriculum. The flow of topics made it easy to understand and follow along. Highly recommended!

By Stamatis Karlos on 6/13/2025

- Typical requirements, like python version should be defined, as well as the code for detecting util folder from the basics. " import sys import os sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))) " - Nice and concise examples!

By Poojitha T on 4/22/2025

I completed the LangChain course by Bharath sir and wanted to learn more about agents, so I joined the LangGraph course. The topics are explained clearly with easy-to-understand examples and real use cases. It also gives a good hands-on experience. I Highly recommend this course :)

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Overall Score : 90 / 100

LangGraph for beginners : Agentic Workflows in simple steps
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  • Video Duration: icon 3.2h
  • Price: $19.99
  • Provider: icon Udemy
  • Updated: icon September 2026
  • Level: Beginner Beginner
  • Language: icon English
  • Certificate: icon Yes
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