Vanderbilt University
AI Agents and Agentic AI in Python: Powered by Generative AI 专项课程
Vanderbilt University

AI Agents and Agentic AI in Python: Powered by Generative AI 专项课程

Learn AI Agent Fundamentals from the Ground Up. Learn how to build resilient AI agents and develop Agentic AI skills in Python that will remain relevant despite the rapidly evolving AI landscape.

Dr. Jules White

位教师:Dr. Jules White

顶尖授课教师

15,825 人已注册

包含在 Coursera Plus

深入学习学科知识
4.8

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初级 等级

推荐体验

4 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度
深入学习学科知识
4.8

(379 条评论)

初级 等级

推荐体验

4 周 完成
在 10 小时 一周
灵活的计划
自行安排学习进度

您将学到什么

  • Build Autonomous AI Agents – Learn how to create AI agents in Python that can operate independently, interact with APIs, and handle real-world tasks.

  • Master Core and Advanced Agent Concepts – Understand agent loops, tool integration, multi-agent collaboration, and design principles.

  • Optimize AI Agents for Real-World Use – Develop resilient, efficient, and maintainable agents while balancing token costs, speed, and predictability.

要了解的详细信息

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授课语言:英语(English)

了解顶级公司的员工如何掌握热门技能

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

精进特定领域的专业知识

  • 向大学和行业专家学习热门技能
  • 借助实践项目精通一门科目或一个工具
  • 培养对关键概念的深入理解
  • 通过 Vanderbilt University 获得职业证书

专业化 - 3门课程系列

您将学到什么

  • Build a complete AI agent framework in Python, creating each component yourself to gain deep understanding of how agents work

  • Design tool discovery systems and function calling mechanisms that allow your agents to interact with external systems and perform meaningful actions

  • Create practical, production-ready agents for tasks like intelligent file exploration, documentation generation, and coding

您将获得的技能

类别:Agentic systems
类别:Software Documentation
类别:Prompt Engineering
类别:LLM Application
类别:Tool Calling
类别:Application Development
类别:Generative AI Agents
类别:File Management
类别:Prototyping
类别:OpenAI
Prompt Engineering for ChatGPT

Prompt Engineering for ChatGPT

第 2 门课程18小时

您将学到什么

  • How to apply prompt engineering to effectively work with large language models, like ChatGPT

  • How to use prompt patterns to tap into powerful capabilities within large language models

  • How to create complex prompt-based applications for your life, business, or education

您将获得的技能

类别:Prompt Engineering
类别:Prompt Patterns
类别:ChatGPT
类别:Creative Problem-Solving
类别:Creative Thinking
类别:Artificial Intelligence and Machine Learning (AI/ML)
类别:Productivity
类别:Artificial Intelligence
类别:Problem Solving
类别:Generative AI
类别:Large Language Modeling
类别:OpenAI
类别:LLM Application

您将学到什么

  • How to implement agents that can dynamically adopt different expert personas and reason with or transform unstructured data

  • Techniques for building Multi-Agent Collaboration Systems in Python that support sophisticated memory sharing and intelligent coordination

  • How to implement Trustworthy and Safe Agent Architectures in Python using staged execution, reversible actions, and safety patterns

您将获得的技能

类别:Persona Development
类别:Agentic systems
类别:Prompt Engineering
类别:Prompt Patterns
类别:Transaction Processing
类别:Generative AI Agents
类别:Business Logic
类别:Large Language Modeling
类别:Plan Execution
类别:Document Management
类别:LLM Application
类别:Coordination
类别:Persona (User Experience)
类别:Application Programming Interface (API)
类别:Coordinating
类别:Tool Calling
类别:Data Sharing

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位教师

Dr. Jules White

顶尖授课教师

Vanderbilt University
47 门课程913,630 名学生

提供方

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