朗查课程
LangChain 课程可以帮助您学习如何构建将 Large Language Model 与外部数据、工具和工作流程连接起来的应用程序。您可以掌握 Prompt 连锁、检索方法、代理设计和结构化多步骤任务方面的技能。许多课程介绍了 Python 库、Vector 数据库和 API 等工具，这些工具支持创建、测试和完善 LangChain 驱动的 AI 应用程序。
热门 Langchain 课程和认证
状态：免费试用您将获得的技能: 大型语言模型, 生成式人工智能, LLM 申请, Prompt Engineering, 人工智能和机器学习（AI/ML）, PyTorch（机器学习库）, 自然语言处理
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, LLM Application, Large Language Modeling, Generative AI Agents, Prompt Engineering, Generative AI, Application Development
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 Deployment, Application Development, Large Language Modeling, UI Components, Semantic Web, Artificial Intelligence, Software Development
状态：免费试用您将获得的技能: 生成式人工智能, LLM 申请, Prompt Engineering, 文件管理, 数据库管理系统, 自然语言处理, 数据存储技术, 用户界面（UI）
状态：免费试用您将获得的技能: LangChain, LLM Application, Prompt Engineering, Large Language Modeling, OpenAI, Development Environment, Generative AI Agents, Artificial Intelligence, Natural Language Processing, Python Programming, Document Management, Application Development, Image Analysis, Front-End Web Development
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, Exploratory Data Analysis, Data Wrangling, Prompt Patterns, LangChain, Large Language Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, Supervised Learning, Keras (Neural Network Library), Data Transformation, Feature Engineering, Flask (Web Framework), Data Analysis, Responsible AI, LLM Application, Data Import/Export
状态：免费试用IBM
您将获得的技能: Python 程序设计, 机器学习, 深度学习, 生成式人工智能, 大型语言模型, Prompt Engineering, LLM 申请, 数据科学, 自然语言处理, 强化学习, PySpark, PyTorch（机器学习库）, 功能工程, Keras（神经网络库）, 计算机视觉, 应用机器学习, 监督学习, 张力流, 无监督学习, Apache Spark
状态：免费DeepLearning.AI
您将获得的技能: 大型语言模型, 生成式人工智能, LLM 申请, Prompt Engineering, 数据处理, LangChain, 数据导入/导出, 文件管理, 摘录, 语义网
状态：免费试用您将获得的技能: Prompt Engineering, Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), LLM Application, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Text Mining, Data Ethics, Artificial Intelligence, Deep Learning, Performance Tuning, Applied Machine Learning, Data Processing, Artificial Neural Networks, Reinforcement Learning, Document Management, Database Management Systems, Data Storage Technologies
状态：免费DeepLearning.AI
您将获得的技能: Python 程序设计, LangChain, Prompt Engineering, LLM 申请, 生成式 AI 代理, ChatGPT, 工具调用, 应用程序开发
状态：新状态：免费试用您将获得的技能: LangChain, Prompt Engineering, LLM Application, LangGraph, Generative AI Agents, Agentic systems, Large Language Modeling, OpenAI, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Development Environment, Artificial Intelligence, AI Personalization, Responsible AI, Tool Calling, Text Mining, Query Languages, User Interface (UI), Application Development, Natural Language Processing
与 langchain 相关的搜索
总之，以下是 10 最受欢迎的 langchain 课程
- 使用 RAG 和 LangChain 的 AI 代理基础知识: IBM
- Agentic AI with LangChain and LangGraph: IBM
- LangChain for LLM Application Development: DeepLearning.AI
- IBM RAG and Agentic AI: IBM
- 项目使用 RAG 和 LangChain 的生成式 AI 应用程序: IBM
- The Complete LangChain & LLMs Guide: Packt
- IBM Generative AI Engineering: IBM
- IBM 人工智能工程: IBM
- LangChain 与您的数据聊天: DeepLearning.AI
- Generative AI Engineering with LLMs: IBM
