Udemy - LangGraph for Developers - From Zero to Hero
- CategoryOther
- TypeTutorials
- LanguageEnglish
- Total size3.5 GB
- Uploaded Byfreecoursewb
- Downloads54
- Last checkedFeb. 28th '26
- Date uploadedFeb. 27th '26
- Seeders 16
- Leechers12
Infohash : 4EA510CDBF572D024125150A5BBC3B0E50EDA665
LangGraph for Developers: From Zero to Hero
https://WebToolTip.com
Published 2/2026
Created by Arnab Das
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 33 Lectures ( 6h 16m ) | Size: 3.52 GB
Build Production-Ready Agentic AI Systems using LangGraph, LLMs, MCP & FastAPI
What you'll learn
✓ Understand agentic systems and clearly differentiate them from traditional LLM applications.
✓ Design AI agent architectures using modern agentic patterns, memory, and tool based reasoning.
✓ Build production AI agents with LangGraph, MCP pipelines, and multi-agent collaboration.
✓ Secure, evaluate, and monitor AI agents using guardrails, Langfuse, observability, authentication, and performance metrics.
✓ Deploy scalable agentic systems to the cloud using Docker, FastAPI, and real world production workflows.
✓ Architect end-to-end AI Agent APIs, from LLM integration and tool orchestration to backend connectivity and real-world system deployment.
Requirements
● Basic Python programming knowledge (functions, classes, virtual environments)
● Familiarity with REST APIs and JSON
● Fundamental understanding of LLMs or prior experience using ChatGPT or similar tools
● A laptop or desktop with internet access
● Willingness to install Python, VS Code, Pycharm and required libraries
Files:
[ WebToolTip.com ] Udemy - LangGraph for Developers - From Zero to Hero- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Welcome
- 1. Why Learn AI Agents.mp4 (12.1 MB)
- 2. About Instructor.mp4 (21.8 MB)
- 3. Coding Resources.html (7.6 KB)
- 10. MCP vs A2A.mp4 (91.6 MB)
- 4. Evolution of AI.mp4 (96.2 MB)
- 5. What is Agentic AI.mp4 (77.8 MB)
- 6. Benefits of Agentic AI.mp4 (21.9 MB)
- 7. Agentic Design Patterns.mp4 (63.8 MB)
- 8. Highly Autonomous Agentic Design Patterns.mp4 (72.8 MB)
- 9. LangChain vs LangGraph vs DeepAgent.mp4 (47.2 MB)
- 11. OpenAI LLM Provider.mp4 (38.7 MB)
- 12. What is LangGraph.mp4 (17.5 MB)
- 13. Your First Graph.mp4 (83.9 MB)
- 14. Core Concepts State, Nodes, Edges & Reducers.mp4 (129.9 MB)
- 15. Control Flow & Conditional Edges.mp4 (251.2 MB)
- 16. Build a Tool-Calling Agent & Streaming.mp4 (292.9 MB)
- 17. Persistence, Interrupts, Time Travel.mp4 (326.8 MB)
- 18. Memory & Sub-Graph.mp4 (130.6 MB)
- 19. Functional API.mp4 (67.0 MB) LangGraph
- __init__.py (0.0 KB) src
- __init__.py (0.0 KB) agents
- __init__.py (0.0 KB) __pycache__
- tools_setup.cpython-312.pyc (1.3 KB)
- agent_node.py (2.6 KB)
- tools_setup.py (0.6 KB) capabilities
- __init__.py (0.0 KB) __pycache__
- tools_setup.cpython-312.pyc (1.3 KB)
- persistence_demo.py (4.2 KB)
- tools_setup.py (0.6 KB) functional
- __init__.py (0.0 KB)
- essay_review.py (0.8 KB)
- hello_graph.py (0.6 KB) workflows
- __init__.py (0.0 KB)
- conditional_routing.py (0.9 KB)
- graph.png (10.0 KB)
- loop_demo.py (0.9 KB)
- message_state_demo.py (1.0 KB)
- reducers_demo.py (0.9 KB)
- subgraphs_demo.py (0.8 KB)
- two_step_workflow.py (0.7 KB)
- 20. What is Langfuse.mp4 (5.7 MB)
- 21. Installation & Setup.mp4 (50.6 MB)
- 22. Observability & Tracing.mp4 (120.5 MB)
- 23. Prompt Management.mp4 (35.9 MB)
- 24. Evaluations.mp4 (51.5 MB)
- 25. What is FastAPI.mp4 (17.5 MB)
- 26. Project Setup and Healthcheck.mp4 (331.6 MB)
- 27. Database Connection & Schemas.mp4 (144.0 MB)
- 28. AI Agent API.mp4 (133.4 MB)
- 29. Setting Up MCP Server.mp4 (114.1 MB)
- 30. MCP Tool Discovery.mp4 (339.1 MB)
- 31. Exposing MCP Tool Endpoint.mp4 (139.3 MB)
- 32. Connecting the MCP Server with the AI Agent Client.mp4 (166.2 MB) AI_Agent_Engineering_Build_Production_Ready_Agentic_Systems-dev AI_Agent_Client
- __init__.py (0.0 KB) database
- __init__.py (0.0 KB)
- database_connection.py (0.7 KB)
- main.py (2.7 KB) models
- __init__.py (0.0 KB)
- chat_history.py (0.4 KB)
- __init__.py (0.0 KB)
- agent_router.py (1.0 KB)
- general_router.py (0.4 KB)
- AgentQueryRequest.py (0.1 KB)
- __init__.py (0.0 KB)
- __init__.py (0.0 KB)
- prompt.py (0.1 KB)
- settings.py (0.7 KB)
- __init__.py (0.0 KB)
- main.py (2.0 KB) routers
- __init__.py (0.0 KB)
- general_router.py (1.8 KB)
- __init__.py (0.0 KB) tools
- __init__.py (0.4 KB)
- _discover.py (1.7 KB) research_paper_analyser
- __init__.py (0.1 KB)
- promt.py (0.2 KB)
- schema.py (0.2 KB)
- tool.py (1.8 KB)
- __init__.py (0.0 KB)
- settings.py (0.7 KB)
- Agentic AI-A2A.png (98.8 KB)
- Agentic AI-DeepAgents.png (410.6 KB)
- Agentic AI-LangChain, LangGraph, and DeepAgents Relate.png (172.3 KB)
- Agentic AI-LangChain.png (246.7 KB)
- Agentic AI-LangGraph.png (180.6 KB)
- Agentic AI-MCP & A2A.png (147.4 KB)
- Agentic AI-MCP.png (124.8 KB)
- Agentic AI-Reflection with external feedback.png (139.7 KB)
- Agentic AI.drawio (124.0 KB)
- Agentic AI.png (184.6 KB)
- ai-agents.png (311.3 KB)
- CODE_OF_CONDUCT.md (5.1 KB)
- CONTRIBUTING.md (3.3 KB) DeepAgent
- __init__.py (0.0 KB)
- backend_memory_research_agent.py (3.0 KB)
- filesystem_research_agent.py (1.7 KB)
- get_started.py (0.2 KB)
- hello_world_deep_agent.py (0.6 KB)
-
Code:
- udp://tracker.torrent.eu.org:451/announce
- udp://tracker.tiny-vps.com:6969/announce
- http://tracker.foreverpirates.co:80/announce
- udp://tracker.cyberia.is:6969/announce
- udp://exodus.desync.com:6969/announce
- udp://explodie.org:6969/announce
- udp://tracker.opentrackr.org:1337/announce
- udp://9.rarbg.to:2780/announce
- udp://tracker.internetwarriors.net:1337/announce
- udp://ipv4.tracker.harry.lu:80/announce
- udp://open.stealth.si:80/announce
- udp://9.rarbg.to:2900/announce
- udp://9.rarbg.me:2720/announce
- udp://opentor.org:2710/announce
