06 IBM Fundamentals of Building AI Agents

Fundamentals of Building AI Agents

Private Course

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Last Update	2026-06-28
Completion Time	3 နာရီ 57 မိနစ်
Members	1

Course

Advanced (RAG and Agentic AI)

Module 01

16Lessons · 3 နာရီ 13 မိနစ်
- 01 Course Introduction.mp4
  
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- 02 course overview.pdf
  
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- 03 helpful tips.png
  
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- 04 RAG and Agentic AI Professional Certificate Overview.mp4
  
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- 05 What are AI Agents.mp4
  
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- 06 Comparing AI System Designs.pdf
  
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- 07 When to (and not to) use AI Agents.pdf
  
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- 08 Tool Calling for LLMs.mp4
  
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- 09 Why AI Needs Tools From Guessing to Real-World Action.mp4
  
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- 10 Tools, Agents, and Function Calling in LangChain.pdf
  
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- 11 Build Effective AI Tools for Advanced LLMs.mp4
  
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- 12 Build Intelligent Agents for Dynamic LLM Tool Use.mp4
  
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- 13 Build a Custom Math Toolkit Agent with LangChain.mp4
  
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- 14 Popular tools in lanchain.pdf
  
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- 15 cheatsheet v2.pdf
  
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- 15 summary
  
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Module 02

8Lessons · 20 မိနစ်
- 01 LangChain LCEL Chaining Method.mp4
  
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- 02 LangChain Expression Language (LCEL) cheatsheet.pdf
  
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- 03 When to Call Tools Manually.mp4
  
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- 04 Structured Outputs for Tool Calling.pdf
  
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- 05 Build LLM Agents with Tools.mp4
  
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- 06 Build Interactive LLM Agents.mp4
  
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- 07 cheatsheet.pdf
  
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- 07 summary
  
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Module 03

7Lessons · 24 မိနစ်
- 01 From Natural Language to Data Visualizations with LangChain.mp4
  
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- 02 How AI Transforms Analytics.pdf
  
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- 03 An Introduction to AI-Powered SQL Agents.mp4
  
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- 04 Implementing LangChain’s AI-Powered SQL Agent.mp4
  
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- 05 Natural Language Interfaces for Data Systems.pdf
  
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- 06 cheatsheet Using Built-in Agents in LangChain.pdf
  
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- 07 Course Wrap-Up.mp4
  
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