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.
Fundamentals of Building AI Agents
Fundamentals of Building AI Agents
本课程是多个项目的一部分。
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28,696 人已注册
您将学到什么
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
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作业
11 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
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- 获得可共享的职业证书
该课程共有3个模块
In this module, you'll discover what AI Agents are, compare AI agent system designs, and learn when, and when not, to use them. You'll learn how tool calling and chaining work together in LangChain to create powerful AI systems. You'll learn to connect language models with external tools and gain skills you can use to build systems that perform precise operations while maintaining natural conversational abilities.
涵盖的内容
8个视频2篇阅读材料4个作业1个应用程序项目6个插件
In this module, you'll orchestrate components through structured workflows using LangChain Expression Language (LCEL). You’ll learn how to manually invoke tools in LangChain by parsing large language model (LLM) outputs, validating inputs, and executing functions. You’ll build a real-world tool calling agent that includes workflows where the LLM suggests tools while you retain full control for processing the query.
涵盖的内容
4个视频1篇阅读材料4个作业3个应用程序项目3个插件
In this module, you'll learn how to use LangChain's built-in DataFrame and SQL agents for data analysis and database operations. Discover how these pre-built agents implement natural language interfaces for conversational data analysis, making insights available to users without technical expertise. You'll learn how to build AI-driven applications that convert conversational queries into structured data operations, enhancing usability and decision-making.
涵盖的内容
4个视频3篇阅读材料3个作业2个应用程序项目3个插件
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自 2020开始学习的学生
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学生评论
- 5 stars
79.04%
- 4 stars
14.28%
- 3 stars
4.76%
- 2 stars
0.95%
- 1 star
0.95%
显示 3/104 个
DP
已于 Oct 7, 2025审阅
It was made easy and lab launch added so much of hands-on knowledge. Only if you could make it available for life-time access.
AC
已于 Oct 1, 2025审阅
It provides enough general and specific knowledge to create complex AI Agents. A great entry point to Agentic AI
DY
已于 Oct 11, 2025审阅
Greate course . Helped me see more practical options when developing the Agentic workflow
