| Bonus Resources.txt | 102.4 B | ||
| CODE_OF_CONDUCT.md | 5.1 KB | ||
| CONTRIBUTING.md | 3.3 KB | ||
| DeepAgent | |||
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| backend_memory_research_agent.py | 3 KB | ||
| filesystem_research_agent.py | 1.7 KB | ||
| get_started.py | 204.8 B | ||
| hello_world_deep_agent.py | 614.4 B | ||
| human_in_the_loop.py | 1.8 KB | ||
| notes.md | 3.1 KB | ||
| preference.txt | 0 B | ||
| research_deep_agent.py | 1.4 KB | ||
| sandbox.py | 716.8 B | ||
| skills | |||
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| LICENSE | 1 KB | ||
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| src | |||
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| agent.py | 7.7 KB | ||
| knowledge_base.py | 1.4 KB | ||
| mcp_agent.py | 2.5 KB | ||
| mcp_servers | |||
| LangGraph | |||
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| src | |||
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| agents | |||
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| agent_node.py | 2.5 KB | ||
| capabilities | |||
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| functional | |||
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| essay_review.py | 716.8 B | ||
| hello_graph.py | 512 B | ||
| workflows | |||
| Langfuse | |||
| PPT | |||
| 00 (A) Introduction.pptx | 8.3 MB | ||
| 00 (B) About Instructor.pptx | 2.8 MB | ||
| 01 Evolution of AI.pptx | 20.1 MB | ||
| 02 What is Agentic AI.pptx | 25.1 MB | ||
| 03 Benefits of Agentic AI.pptx | 1.4 MB | ||
| 04 Agentic Design Patterns.pptx | 12.9 MB | ||
| 05 Agentic Patterns for Highly Autonomous Agents.pptx | 1.4 MB | ||
| 06 LangGraph.pptx | 534.4 KB | ||
| 07 LangChain Vs LangGraph Vs DeepAgents.pptx | 7.7 MB | ||
| 08 MCP Vs A2A.pptx | 16.1 MB | ||
| 09 Langfuse.pptx | 146.5 KB | ||
| 10 FastAPI.pptx | 97.4 KB | ||
| 11 Conclusion.pptx | 291.9 KB | ||
| README.md | 6.3 KB | ||
| SECURITY.md | 614.4 B | ||
| env.example | 409.6 B | ||
| github | |||
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| bug_report.md | 819.2 B | ||
| custom.md | 102.4 B | ||
| feature_request.md | 614.4 B | ||
| __init__.py | 0 B | ||
| get_started_with_langfuse.py | 921.6 B | ||
| __init__.py | 0 B | ||
| conditional_routing.py | 921.6 B | ||
| graph.png | 10 KB | ||
| loop_demo.py | 921.6 B | ||
| message_state_demo.py | 1 KB | ||
| reducers_demo.py | 819.2 B | ||
| subgraphs_demo.py | 819.2 B | ||
| two_step_workflow.py | 716.8 B | ||
| persistence_demo.py | 4 KB | ||
| tools_setup.py | 614.4 B | ||
| tools_setup.py | 614.4 B | ||
| __init__.py | 0 B | ||
| math.py | 409.6 B | ||
| multi_agent.py | 1.6 KB | ||
| response.json | 614.4 B | ||
| tool.py | 921.6 B | ||
| skills.md | 1 KB | ||
| sub_research_writer_agent.py | 2.3 KB | ||
| skills.py | 1 KB | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| pull_request_template.md | 1.5 KB | ||
| workflows | |||
| 7 - Let's review our learnings | |||
| 1. Final Certification Quiz LangGraph for Developers.html | 52.3 KB | ||
| 8 - Conclusion | |||
| 33. Thank You!.mp4 | 19.6 MB | ||
| gitignore | 0 B | ||
| python-app.yml | 819.2 B | ||
| requirements.txt | 307.2 B | ||
| ~Get Your Files Here ! | |||
| 1 - Welcome | |||
| 1. Why Learn AI Agents.mp4 | 12.1 MB | ||
| 2 - Introduction to Agentic System | |||
| 10. MCP vs A2A.mp4 | 91.6 MB | ||
| 3 - LLM Provider | |||
| 11. OpenAI LLM Provider.mp4 | 38.7 MB | ||
| 4 - LangGraph Basics | |||
| 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 MB | ||
| LangGraph | |||
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| src | |||
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| agents | |||
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| capabilities | |||
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| functional | |||
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| essay_review.py | 819.2 B | ||
| hello_graph.py | 614.4 B | ||
| workflows | |||
| 5 - Langfuse Basics | |||
| 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 | ||
| 6 - Capstone Project | |||
| 25. What is FastAPI.mp4 | 17.5 MB | ||
| 26. Project Setup and Healthcheck.mp4 | 331.6 MB | ||
| 27. Database Connection & Schemas.mp4 | 144 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 | |||
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| database | |||
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| database_connection.py | 716.8 B | ||
| main.py | 2.7 KB | ||
| models | |||
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| chat_history.py | 409.6 B | ||
| routers | |||
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| agent_router.py | 1 KB | ||
| general_router.py | 409.6 B | ||
| schemas | |||
| AgentQueryRequest.py | 102.4 B | ||
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| main.py | 2 KB | ||
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| tools | |||
| __init__.py | 409.6 B | ||
| _discover.py | 1.7 KB | ||
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| __init__.py | 102.4 B | ||
| promt.py | 204.8 B | ||
| schema.py | 204.8 B | ||
| tool.py | 1.8 KB | ||
| utils | |||
| Architecture_Diagram | |||
| 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 KB | ||
| Agentic AI.png | 184.6 KB | ||
| ai-agents.png | 311.3 KB | ||
| __init__.py | 0 B | ||
| settings.py | 716.8 B | ||
| __init__.py | 0 B | ||
| prompt.py | 102.4 B | ||
| settings.py | 716.8 B | ||
| __init__.py | 0 B | ||
| conditional_routing.py | 921.6 B | ||
| graph.png | 10 KB | ||
| loop_demo.py | 921.6 B | ||
| message_state_demo.py | 1 KB | ||
| reducers_demo.py | 921.6 B | ||
| subgraphs_demo.py | 819.2 B | ||
| two_step_workflow.py | 716.8 B | ||
| persistence_demo.py | 4.2 KB | ||
| tools_setup.cpython-312.pyc | 1.3 KB | ||
| tools_setup.py | 614.4 B | ||
| tools_setup.cpython-312.pyc | 1.3 KB | ||
| tools_setup.py | 614.4 B | ||
| 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 | ||
| 2. About Instructor.mp4 | 21.8 MB | ||
| 3. Coding Resources.html | 7.6 KB |
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
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 1.3 GB | freecoursewb | 3 weeks | 0 | 0 | |
| 4 GB | freecoursewb | 6 months | 1 | 33 | |
| 1.4 GB | freecoursewb | 1 year | 14 | 9 | |
| 943.2 MB | freecoursewb | 1 year | 1 | 1 | |
|
Udemy - Agentic AI - Deliver a successful chatbot PoC with LangGraph Posted by
freecoursewb in Other
|
417.1 MB | freecoursewb | 1 year | 9 | 2 |
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