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Home └07 IBM Agentic AI with LangChain and LangGraph
07 IBM Agentic AI with LangChain and LangGraph

07 IBM Agentic AI with LangChain and LangGraph

Agentic AI with LangChain and LangGraph
Private Course
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Last Update 06/28/2026
Completion Time 1 hour 38 minutes
Members 1
Advanced (RAG and Agentic AI)
  • Module 01
    11Lessons · 31 min
    • 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 02
    7Lessons · 41 min
    • 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 03
    8Lessons · 26 min
    • 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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