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Fundamentals of Building AI Agents
Coursera
Course
Unknown

Fundamentals of Building AI Agents

IBM

Are you ready to build AI that thinks, acts, and gets things done? In this course, you’ll learn how to design agents that go beyond language generation to reason, take action, and tackle real-world tasks using tools and data.  During the course, you'll explore the foundations of tool calling and chaining with LangChain. You’ll discover how to extend the capabilities of Large Language Models (LLMs) by connecting them with calculators, code, and external data sources. You'll learn how LLMs trigge

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About this Course

Are you ready to build AI that thinks, acts, and gets things done? In this course, you’ll learn how to design agents that go beyond language generation to reason, take action, and tackle real-world tasks using tools and data.  During the course, you'll explore the foundations of tool calling and chaining with LangChain. You’ll discover how to extend the capabilities of Large Language Models (LLMs) by connecting them with calculators, code, and external data sources. You'll learn how LLMs trigge

What You'll Learn

  • Develop AI agents that can reason and perform tasks independently
  • Implement tool calling and chaining to create structured AI workflows
  • Utilize built-in LangChain agents to analyze data, generate visualizations, and execute database queries
  • Apply best practices in prompt engineering and tool calling to enhance AI agent performance

Instructors

J

Joseph Santarcangelo

IBM Developer Skills Network

K

Kunal Makwana

K

Karan Goswami

F

Faranak Heidari

IBM Skills Network

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

Artificial Intelligence and Machine Learning (AI/ML)
LangChain
Application Development
LLM Application
AI Workflows
Tool Calling
Generative AI Agents
Agentic systems
Software Development

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