LangGraph for beginners : Agentic Workflows in simple steps

LangGraph for beginners : Agentic Workflows in simple steps
2025-05-08
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz

A Step-by-Step Guide to Master LangChain

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

Description
Who this course is for:
Students who have taken my LangChain course and want to master LangGraph

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