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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. |
[ WebToolTip.com ] Udemy - LangGraph Made Easy
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1 - Introduction
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1. Introduction.mp4 (49.8 MB)
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2. Travel Bot Plan.mp4 (49.8 MB)
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3. Environment Setup.mp4 (73.8 MB)
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4. Essential API's.mp4 (66.9 MB)
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5. Core Concepts-Invoke, Roles, Temperature, Streaming.mp4 (66.9 MB)
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6. Agentic thinking.mp4 (29.4 MB)
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7. Closing.mp4 (34.6 MB)
10 - Human in the loop planning & send() Execution
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33. End-to-End Guided Planning with HITL + Structured Extraction.mp4 (140.1 MB)
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34. Running Your Graph with send().mp4 (176.3 MB)
11 - Subgraphs, Merged Context, and Live Tool Pipelines
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35. Web + Weather + LLM A Merged Context Planner.mp4 (173.0 MB)
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36. Static Subgraph.mp4 (181.3 MB)
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37. Live Tools A Two-Subgraph Pipeline.mp4 (161.5 MB)
12 - Closing
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38. closing.mp4 (73.7 MB)
2 - LangGraph Basics
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10. Conditional Routing.mp4 (48.8 MB)
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8. Hello World LangGraph.mp4 (95.8 MB)
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9. First LLM Call via graph.mp4 (24.0 MB)
3 - Type-Safe Graphs with Pydantic, TypedDict, and Dataclasses
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11. Introduction - Data types.mp4 (89.1 MB)
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12. Conditional Graph TypedDict.mp4 (63.8 MB)
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13. DataClass and Pydantic conditional graph.mp4 (120.9 MB)
4 - State Updates & Reducers in LangGraph
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14. Resolving State Collisions_ Safe Merging and Reducers in LangGraph.mp4 (176.6 MB)
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15. State updates message state and annotated add reducer similarities.mp4 (85.4 MB)
5 - Adding Conversation Memory From One-Shot Prompts to Stateful LLM Turns
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16. Evolving a One-Node Graph Into a Typed, Schema-Driven LLM Workflow.mp4 (104.6 MB)
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17. Adding Conversation Memory.mp4 (119.5 MB)
6 - Teaching Your LLM to Use Tools
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18. Teaching Your LLM to Use Tools.mp4 (269.9 MB)
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19. LLM-Powered Text Analytics with Tools.mp4 (38.9 MB)
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20. Building a Staged Travel Agent LLM → Tools → LLM.mp4 (165.8 MB)
7 - Managing and Optimizing Chat History in LangGraph
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21. Rewriting History Edit & Remove Messages in LangGraph.mp4 (105.6 MB)
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22. Token-Smart Conversations Auto-Trimming Chat History.mp4 (90.0 MB)
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23. Rolling Memory Auto-Summarizing Your Agent’s Chat History.mp4 (127.7 MB)
8 - Clean IO & Human-in-the-Loop Refinements
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24. Clean IO, Rich Internals.mp4 (56.4 MB)
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25. Single-State Flow One Frame, Two Refinements.mp4 (76.7 MB)
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26. Clean IO, Deep Work State.mp4 (48.4 MB)
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27. Human-in-the-Loop Tight Inputs, Editable Outputs.mp4 (120.7 MB)
9 - Memory, Persistence & Structured Extraction
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28. Saving Agent State to SQLite.mp4 (129.4 MB)
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29. Cross-Thread Memory with an Evolving Memo.mp4 (159.4 MB)
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30. Structured Extraction Meets Long-Term Memory.mp4 (184.2 MB)
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31. TrustCall Structured Extraction Superpowers for Your Agent.mp4 (217.9 MB)
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32. Closing.mp4 (53.7 MB)
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Bonus Resources.txt (0.1 KB)
files
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