LangGraph

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size3.3 GB
  • Uploaded Byfreecoursewb
  • Downloads41
  • Last checkedJul. 03rd '26
  • Date uploadedJul. 02nd '26
  • Seeders 0
  • Leechers14

Infohash : 029558F16B7BB01DA372825E75BA7FFA93B4E69B

LangGraph

https://WebToolTip.com

Published 6/2026
Created by Venkata Reddy AI Classes
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 16 Lectures ( 5h 53m ) | Size: 3.3 GB

Build AI Agents and Workflows with LangGraph

What you'll learn
⚡ Understand LangGraph fundamentals and build stateful, multi-agent AI workflows using graph-based architectures.
⚡ Design, develop, and deploy AI agents with memory, decision-making, and tool-calling capabilities using LangGraph.
⚡ Integrate LangGraph with LLMs, APIs, databases, and external tools to create intelligent agentic applications.
⚡ Build real-world AI projects including chatbots, autonomous agents, research assistants, and workflow automation systems.

Requirements
❗ Basic Python programming knowledge is recommended, including variables, functions, loops, and object-oriented concepts.
❗ Familiarity with Generative AI concepts and Large Language Models (LLMs) is helpful but not mandatory.
❗ No prior experience with LangGraph or LangChain is required. Everything will be taught from scratch through hands-on projects.
❗ Basic understanding of APIs, JSON, and Python libraries will help learners follow advanced examples more easily.
❗ Enthusiasm to build AI agents, multi-agent systems, and real-world AI applications using modern frameworks.

Files:

[ WebToolTip.com ] LangGraph
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - LangGraph-1
    • 1. Langraph-1.pdf (1,001.3 KB)
    • 1. Multi-Tool Health Care Assistant Agent.url (0.1 KB)
    • 1. Prerequisites and Complex LangChain Agents.mp4 (116.6 MB)
    • 2. LangGraph-1.url (0.1 KB)
    • 2. Motivation and Core Graph Concepts (Description).html (0.9 KB)
    • 2. Motivation and Core Graph Concepts.mp4 (182.7 MB)
    • 3. Building Basic State Graphs (Description).html (0.8 KB)
    • 3. Building Basic State Graphs.mp4 (206.7 MB)
    • 4. Implementing Conditional Edges (Description).html (0.8 KB)
    • 4. Implementing Conditional Edges.mp4 (408.4 MB)
    • 5. Integrating LLM Nodes (Description).html (0.8 KB)
    • 5. Integrating LLM Nodes.mp4 (137.3 MB)
    • 6. First React Agent (Description).html (0.9 KB)
    • 6. First React Agent.mp4 (241.5 MB)
    • 7. Memory Management and Checkpointing (Description).html (0.9 KB)
    • 7. Memory Management and Checkpointing.mp4 (89.5 MB)
    • 8. Building an AI Agent with Tools (Description).html (0.9 KB)
    • 8. Building an AI Agent with Tools.mp4 (135.0 MB)
    • 9. Agentic RAG Workflows (Description).html (0.8 KB)
    • 9. Agentic RAG Workflows.mp4 (260.5 MB)
    2 - LangGraph-2
    • 10. Corrective RAG (Description).html (0.8 KB)
    • 10. Corrective RAG.mp4 (424.5 MB)
    • 10. LangGrap -2.url (0.1 KB)
    • 10. LangGraph-2.pdf (5.0 MB)
    • 11. Agentic Reflection (Description).html (0.8 KB)
    • 11. Agentic Reflection.mp4 (170.4 MB)
    • 12. Tracing with LangSmith (Description).html (0.8 KB)
    • 12. Tracing with LangSmith.mp4 (157.4 MB)
    • 13. SQL Tool Agent Creation (Description).html (0.8 KB)
    • 13. SQL Tool Agent Creation.mp4 (404.8 MB)
    • 14. Implementing Human-in-the-Loop (HITL) (Description).html (0.8 KB)
    • 14. Implementing Human-in-the-Loop (HITL).mp4 (200.3 MB)
    • 15. Building a Multi-Tool AI Agent (Description).html (0.8 KB)
    • 15. Building a Multi-Tool AI Agent.mp4 (128.4 MB)
    • 16. Course Conclusion.mp4 (85.0 MB)
    • Bonus Resources.txt (0.1 KB)

Code:

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