筛选依据
主题必需的
语言必需的
在整个课程（说明和评估）中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
字幕必需的
教师必需的
“langgraph” 的结果
状态：新状态：免费试用您将获得的技能: LangGraph, Generative AI Agents, Agentic systems, LangChain, LLM Application, Responsible AI, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Collaborative Software, System Design and Implementation, Software Development, Python Programming, Real Time Data, Data Science
状态：免费DeepLearning.AI
您将获得的技能: LangChain, LangGraph, Prompt Engineering, 生成式 AI 代理, LLM 申请, 大型语言模型, OpenAI
状态：免费试用您将获得的技能: LangGraph, Generative AI Agents, Agentic systems, LLM Application, OpenAI, Artificial Intelligence, AI Personalization, Responsible AI, Tool Calling, Query Languages, User Interface (UI), Prompt Engineering, Large Language Modeling, Natural Language Processing, Python Programming, Automation
状态：新状态：免费试用您将获得的技能: Prompt Engineering, LangChain, Tool Calling, LangGraph, Agentic systems, Multimodal Prompts, Generative AI, LLM Application, Generative AI Agents, Responsible AI, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Application Development, Large Language Modeling, UI Components, Semantic Web, Data Storage Technologies, Databases, Software Development
状态：新状态：免费试用您将获得的技能: LangGraph, Generative AI Agents, Agentic systems, LLM Application, Prompt Patterns, OpenAI, Large Language Modeling, Artificial Intelligence, ChatGPT, AI Personalization, Development Environment, Tool Calling, Microsoft Azure, Responsible AI, Microsoft Development Tools, Query Languages, User Interface (UI), Prompt Engineering, Application Development, Natural Language Processing
状态：新状态：免费试用您将获得的技能: Agentic systems, Generative AI Agents, LLM Application, Application Design, Tool Calling, Large Language Modeling, Software Design Patterns, Data Validation
是什么让您今天来到 Coursera？
状态：免费试用您将获得的技能: Prompt Engineering, 人工智能, 生成式 AI 代理, 生成式人工智能, LLM 申请, 大型语言模型, 自然语言处理
状态：新状态：免费试用您将获得的技能: LangChain, Tool Calling, LangGraph, LLM Application, Agentic systems, Generative AI Agents, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Application Design, Prompt Engineering, Large Language Modeling, Collaborative Software, Software Design Patterns, System Design and Implementation, Software Development, Python Programming, Application Development, Real Time Data, Data Science
状态：免费试用Vanderbilt University
您将获得的技能: 人工智能, 创造性思维, Prompt Engineering, 人工智能和机器学习（AI/ML）, ChatGPT, 生产率, 解决问题, LLM 申请, 生成式人工智能, 大型语言模型, OpenAI, 提示模式, 创造性地解决问题
状态：免费试用您将获得的技能: Prompt Engineering, 数据存储技术, 数据库管理系统, 用户界面（UI）, LLM 申请, 生成式人工智能, 文件管理, 自然语言处理
状态：免费DeepLearning.AI
您将获得的技能: LangChain, Prompt Engineering, 数据导入/导出, 生成式人工智能, LLM 申请, 大型语言模型, 数据处理, 文件管理, 摘录, 语义网
状态：免费DeepLearning.AI
您将获得的技能: LangChain, 非结构化数据, 文本挖掘, 图论, 大型语言模型, 语义网, 数据存储, Query 语言
总之，以下是 10 最受欢迎的 langgraph 课程
- Agentic AI with LangChain and LangGraph: IBM
- LangGraph 中的 AI 代理: DeepLearning.AI
- Building Autonomous AI Agents with LangGraph: Packt
- IBM RAG and Agentic AI: IBM
- AI Agents with LangGraph, Semantic Kernel, and AutoGen: Packt
- Agentic AI with LangGraph, CrewAI, AutoGen and BeeAI: IBM
- 使用 RAG 和 LangChain 的 AI 代理基础知识: IBM
- Building AI Agents and Agentic Workflows: IBM
- Chatgpt 应用提示工程: Vanderbilt University
- 项目使用 RAG 和 LangChain 的生成式 AI 应用程序: IBM
