07 IBM Agentic AI with LangChain and LangGraph
Agentic AI with LangChain and LangGraph
Private Course
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| Responsible | Administrator |
|---|---|
| Last Update | 06/28/2026 |
| Completion Time | 1 hour 38 minutes |
| Members | 1 |
Advanced (RAG and Agentic AI)
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Module 0111Lessons · 31 min
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01 Course Introduction.mp4
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02 Courze overview.pdf
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03 helpful tips.png
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04 Generative versus Agentic AI.mp4
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05 Agentic AI.pdf
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06 Core Components of LangGraph.mp4
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07 Designing Effective Workflows.pdf
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08 LangGraph versus LangChain When to Use What .mp4
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09 Pros, Cons, and Practical Considerations .pdf
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10 Getting Started with LangGraph 101.mp4
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11 Cheatsheet Langraph.pdf
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Module 027Lessons · 41 min
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01 Overview Types of AI Agents.mp4
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02 The Art of AI Self-Improvement Building Reflection Agents.mp4
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03 LLM Tool Calls with Pydantic and JSON.pdf
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04 Understanding Reflexion Agents.mp4
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05 Building Reflexion Agents.mp4
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06 ReAct Building Agents that Reason Before Acting .mp4
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07 Build Self-Improving Agents with LangGraph.pdf
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Module 038Lessons · 26 min
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01 Introduction to Multi-Agent Systems.mp4
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02 Multi-Agent LLM Systems Fundamentals.pdf
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03 Risks of Agentic AI What You Need to Know About Autonomous AI.mp4
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04 Enhance Retrieval with Multi-Agent Systems.mp4
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05 Building Multi-Agent Systems with LangGraph.pdf
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06 cheatsheet.pdf
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06 summary
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07 Course Wrap up.mp4
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