Description
LangGraph for beginners course: Agentic Workflows in simple steps. This course is designed to bring participants to a mastery level in the open source LangGraph library. Built on top of LangChain, LangGraph is specifically designed for coordinating multi-agent applications using a graph-based architecture. This course provides a solid foundation for building any type of intelligent solution, whether it is intelligent agents, dynamic RAG pipelines, or enterprise solutions. LangGraph enables developers to enhance their LLM applications and prepare them for production environments by efficiently managing state and conditional routing. In the Advanced Usability and Scalability section, this course teaches participants how to build agent-based RAG workflows using tools and renderers. It also covers implementing “man-in-the-loop” workflows using pause and resume capabilities, and building complex graphs in a modular way using subgraphs. All of the learning is applied to a real-time, practical use case, such as “Hospital Insurance Claims Management.” Adding traceability and visibility through LangSmith, and exploring essential agent-driven design patterns for effective application scaling are other key parts of the course.
What you will learn in the LangGraph for beginners course: Agentic Workflows in simple steps
- Understands LangGraph and how it fits into the Generative Artificial Intelligence (GenAI) ecosystem.
- Build your first LangGraph workflow using a State Machine.
- Validates and structures state using Pydantic models.
- It uses Async and Streaming capabilities to build responsive applications.
- Implements conditional routing based on LLM output.
- Learn about Reducers and how they manage state transitions.
- Become proficient in using Tool Calling using LangGraph’s built-in ToolNode.
- Learns about checkpoints and how to use short-term (in-memory) and long-term (SQLite, Redis) memory.
Who is this course suitable for?
- AI developers looking to build production-grade agent-based applications.
- LangChain users who want to improve their skill level with graph-based coordination.
- Backend engineers who are interested in using tools, memory, and state control.
- Anyone working on LLM workflows in real use cases.
Course details
- Publisher: Udemy
- Instructor: Bharath Thippireddy
- Training level: Beginner to advanced
- Training duration: 2 hours and 58 minutes
- Number of lessons: 57
Course syllabus as of 2025/10
Prerequisites for the LangGraph for beginners course: Agentic Workflows in simple steps
- Knowledge of Python
- Experience with LangChain
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
1.3 GB
