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：新状态：免费试用您将获得的技能: LangChain, LLM Application, Prompt Engineering, API Design, MLOps (Machine Learning Operations), Large Language Modeling, Performance Tuning, Microservices, Application Deployment, Kubernetes, Scalability, Site Reliability Engineering, DevOps, CI/CD, Docker (Software), Python Programming, Containerization, System Monitoring, Cloud Platforms, Security Controls
状态：免费试用您将获得的技能: 生成式人工智能, 检索-增强生成, PyTorch（机器学习库）, 自然语言处理, 拥抱的脸, Prompt Engineering, LLM 申请, 大型语言模型, 嵌入
状态：免费试用您将获得的技能: LangGraph, Agentic Workflows, AI Orchestration, AI Workflows, Generative AI Agents, Agentic systems, LangChain, LLM Application, Responsible AI, Retrieval-Augmented Generation, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Software Development, Python Programming, Data Science
状态：免费DeepLearning.AI
您将获得的技能: LangChain, LLM Application, Large Language Modeling, Retrieval-Augmented Generation, Generative AI Agents, Prompt Engineering, Generative AI, Embeddings, AI Workflows
状态：免费试用您将获得的技能: Prompt Engineering, AI Orchestration, AI Workflows, Model Context Protocol, LangChain, Retrieval-Augmented Generation, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Agentic systems, Multimodal Prompts, Generative AI, Generative AI Agents, Vector Databases, Generative Model Architectures, OpenAI API, Embeddings, Responsible AI, Software Development
状态：免费试用您将获得的技能: 生成式人工智能, 检索-增强生成, 用户界面（UI）, 自然语言处理, LLM 申请, 矢量数据库, 嵌入, 文件管理
是什么让您今天来到 Coursera？
状态：新状态：免费试用您将获得的技能: LangChain, Prompt Engineering, LLM Application, LangGraph, OpenAI API, Generative AI Agents, Agentic systems, AI Workflows, Large Language Modeling, Hugging Face, OpenAI, ChatGPT, Embeddings, Artificial Intelligence and Machine Learning (AI/ML), Development Environment, Application Development, Program Development, Retrieval-Augmented Generation, Artificial Intelligence, Data Processing
状态：免费试用您将获得的技能: LangChain, LLM Application, Prompt Engineering, Large Language Modeling, OpenAI API, Hugging Face, ChatGPT, Embeddings, AI Workflows, Development Environment, Generative AI Agents, Retrieval-Augmented Generation, Vector Databases, Python Programming, Document Management, Application Development, Context Management
状态：免费DeepLearning.AI
您将获得的技能: 检索-增强生成, 数据导入/导出, ChatGPT, 大型语言模型, 矢量数据库, LLM 申请, Prompt Engineering, LangChain, 数据处理, 嵌入, 文件管理
状态：免费试用您将获得的技能: Prompt Engineering, Exploratory Data Analysis, Prompt Patterns, LangChain, Large Language Modeling, Retrieval-Augmented Generation, Model Evaluation, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Data Transformation, Supervised Learning, Responsible AI, Vector Databases, Data Import/Export
状态：免费DeepLearning.AI
您将获得的技能: 应用程序开发, ChatGPT, 工具调用, Prompt Engineering, Python 程序设计, LLM 申请, 生成式 AI 代理, LangChain
状态：免费试用IBM
您将获得的技能: 生成式人工智能, 检索-增强生成, 迁移学习, PyTorch（机器学习库）, Keras（神经网络库）, 机器学习, 模型评估, 生成模型架构, 计算机视觉, 视觉转换器（ViT）, Python 程序设计, 监督学习, Apache Spark, 大型语言模型, LLM 申请, Prompt Engineering, 数据科学, 无监督学习, 矢量数据库, PySpark
与 langchain 相关的搜索
总之，以下是 10 最受欢迎的 langchain 课程
- Build Next-Gen LLM Apps with LangChain & LangGraph: Coursera
- 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
- Langchain and Langgraph: Packt
- The Complete LangChain & LLMs Guide: Packt
- LangChain 与您的数据聊天: DeepLearning.AI
- IBM Generative AI Engineering: IBM
