| 1 -Introduction.mp4 | 21.2 MB | ||
| 1 -Setup Postgress.mp4 | 13.5 MB | ||
| 1 -Setup the project.mp4 | 7.8 MB | ||
| 1 -What is Langgraph.mp4 | 11.5 MB | ||
| 1 -Why memory.mp4 | 15 MB | ||
| 10 -Implement Human In The Loop.mp4 | 50.2 MB | ||
| 11 -Test Approve Reject.mp4 | 33.8 MB | ||
| 12 -Test Human Review.mp4 | 10.2 MB | ||
| 2 -A Simple Workflow.mp4 | 23.6 MB | ||
| 2 -Agentic RAG in action.mp4 | 54.1 MB | ||
| 2 -Async in action.mp4 | 15.2 MB | ||
| 2 -Conditional Routing In Action.mp4 | 30.5 MB | ||
| 2 -Create Database.mp4 | 3.3 MB | ||
| 2 -First WorkFlow.mp4 | 32 MB | ||
| 2 -Implement API Method.mp4 | 19.2 MB | ||
| 2 -Reducers In Action.mp4 | 18.4 MB | ||
| 2 -Reflection.mp4 | 57.4 MB | ||
| 2 -Setup the database.mp4 | 6.6 MB | ||
| 2 -Tool Calling With LLM.mp4 | 18.6 MB | ||
| 2 -Use Memory.mp4 | 11.9 MB | ||
| 2 -Use Subgraph as Node.mp4 | 55.9 MB | ||
| 2 -Usecase and Code.mp4 | 29.2 MB | ||
| 3 -Define a EntryPoint.mp4 | 7 MB | ||
| 3 -HITL In Action.mp4 | 38.7 MB | ||
| 3 -Invoke APIs.mp4 | 22.4 MB | ||
| 3 -Invoke Subgraph From Parent Node.mp4 | 49.8 MB | ||
| 3 -Match Nodes.mp4 | 11.7 MB | ||
| 3 -Streaming.mp4 | 9.7 MB | ||
| 3 -Test.mp4 | 17.2 MB | ||
| 3 -Tree of Thought.mp4 | 32.1 MB | ||
| 3 -Use Persistent Memory.mp4 | 18.6 MB | ||
| 3 -Use ToolNode.mp4 | 30.3 MB | ||
| 3 -Using MessagesState.mp4 | 26 MB | ||
| 4 -Generate a image of the workflow.mp4 | 10.7 MB | ||
| 4 -Parallel Execution.mp4 | 34.5 MB | ||
| 4 -Pass Additional Info.mp4 | 35.2 MB | ||
| 4 -Streaming in action.mp4 | 30.9 MB | ||
| 4 -Use Vector Search.mp4 | 15.9 MB | ||
| 4 -Using ToolNode with LLM Theory.mp4 | 28.4 MB | ||
| 5 -State Validation.mp4 | 19.1 MB | ||
| 5 -Use LLM.mp4 | 18.1 MB | ||
| 5 -Use ToolNode with LLM.mp4 | 53.3 MB | ||
| 6 -Use Conditional Routing.mp4 | 21.9 MB | ||
| 6 -Use Pydantic Schema.mp4 | 39.5 MB | ||
| 7 -Store the response in the database.mp4 | 19 MB | ||
| 8 -Interrupt for Human Review.mp4 | 5.6 MB | ||
| 9 -Chainlit App.mp4 | 43 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 59 total files | |||
LangGraph for beginners : Agentic Workflows in simple steps
https://WebToolTip.com
Published 4/2025
Created by Bharath Thippireddy
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 57 Lectures ( 2h 58m ) | Size: 1.35 GB
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
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Udemy - Agentic AI - Deliver a successful chatbot PoC with LangGraph Posted by
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