LangGraph for beginners : Agentic Workflows in simple steps

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LangGraph for beginners : Agentic Workflows in simple steps

Name: LangGraph for beginners : Agentic Workflows in simple steps
Price: 9.99 USD
Availability: InStock
Rating: 4.6 (1933 reviews)

★4.6

(1,933 students)

>_ 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
All in simple steps

>_ Requirements

Knowledge of Python
Experience with LangChain

/ Course Details & Curriculum

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

Author and Instructor

Bharath Thippireddy

Expert at Udemy

With years of hands-on experience in IT & Software, Bharath Thippireddy has dedicated thousands of hours to teaching and mentorship. This course is the culmination of industry best practices and a proven curriculum that has helped thousands of students transition into professional roles.

Community Feedback

★★★★★

Michael Chen

Verified Enrollment

"This LangGraph for beginners : Agentic Workflows in simple steps course was exactly what I needed. The instructor explains complex IT & Software concepts clearly. Highly recommended!"

Sarah Johnson

Verified Enrollment

"I've taken many Udemy courses on IT & Software, but this one stands out. The practical examples helped me land a job."

David Smith

Verified Enrollment

"Great value for money. The section on LangGraph was particularly helpful."

Emily Davis

Verified Enrollment

"Excellent structure and pacing. I went from zero to hero in IT & Software thanks to this course. Lifetime access is a huge plus."

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