Udemy - LangGraph Made Easy

LangGraph Made Easy

https://WebToolTip.com

Published 12/2025
Created by Ryan Banze
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 38 Lectures ( 3h 39m ) | Size: 4 GB

A practical, hands-on guide to building real production AI apps using LangGraph

What you'll learn
Build agentic workflows in LangGraph, starting from basic LLM calls to complex multi-step graphs with conditional routing and subgraphs.
Apply TypedDict, Pydantic models, Annotated reducers, and various state-management patterns to design reliable agent state machines.
Use tools, streaming, message editing, auto-summaries, and memory trimming to build production-ready conversational agents.
Implement long-term memory using SQLite, evolving memos, structured extraction, and cross-thread memory patterns.
Design and run stateless and stateful LLM systems using lean I/O, deep-work states, refinements, and state-prompt workflows.
Integrate external APIs such as weather, web search, and custom tools into LangGraph with live executions and error-safe routing.
Build advanced agentic patterns including human-in-the-loop planning, guided execution, trust calls, and multi-stage refinement loops.
Deploy end-to-end LangGraph agents using the Send API with efficient context management and reproducible agent state flows.

Requirements
Basic familiarity with Python (functions, imports, and simple classes).
A general understanding of Large Language Models (no deep math required).
Optional: familiarity with APIs and JSON responses.
No prior experience with LangChain or LangGraph is required — everything is taught from scratch.
A computer capable of running Python 3.10+ and installing standard packages.