LangGraph 课程
Langgraph 课程可以帮助您学习自然语言处理、文本分析和机器学习技术。您可以掌握数据 Visualization、情感分析以及开发能够理解用户意图的聊天机器人等方面的技能。许多课程都会介绍用于 NLP 的 Python 库（如 NLTK 和 spaCy）等工具，以及用于部署 AI 模型的平台，使您能够在实际应用中应用自己的技能。
热门 LangGraph 课程和认证
状态：新您将获得的技能: Retrieval-Augmented Generation, Vector Databases, Embeddings, Tool Calling, AI Workflows, Generative AI Agents, Document Management, Query Languages, Text Mining, Context Management
状态：新状态：免费试用您将获得的技能: AI Orchestration, Model Deployment, AI Workflows, Agentic Workflows, Generative AI Agents, Agentic systems, AI Security, Artificial Intelligence, Prompt Engineering, Generative AI, Product Support, OpenAI API, Retrieval-Augmented Generation
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: Python 程序设计, LangChain, LLM 申请, 工具调用, 生成式 AI 代理, Prompt Engineering, ChatGPT, 应用程序开发
状态：免费试用Simplilearn
您将获得的技能: LangChain, AI Workflows, LLM Application, Generative AI, Large Language Modeling, Hugging Face, Prompt Engineering, Embeddings, AI Security, Model Deployment
状态：新您将获得的技能: LangChain, Prompt Engineering, LLM Application, AI Workflows, Generative AI Agents, Front-End Web Development, Context Management, Data Integration, Application Deployment
状态：免费Coursera
您将获得的技能: Python 程序设计, 大型语言模型, 生成式人工智能, LLM 申请, LangChain, 网络开发, 用户界面（UI）, Prompt Engineering, OpenAI, 网络应用, 应用程序开发
状态：新状态：免费试用您将获得的技能: Retrieval-Augmented Generation, LangChain, LLM Application, AI Workflows, Performance Tuning, Model Deployment, Prompt Engineering, Enterprise Application Management, Maintainability, System Monitoring, Scalability, Application Performance Management, Cost Reduction, Vector Databases
您将获得的技能: Plotly, Interactive Data Visualization, Data Visualization Software, Scatter Plots, Ggplot2, Data Analysis, Python Programming, Data Science, Machine Learning
Google Cloud
您将获得的技能: LLM 申请, 检索-增强生成, 用户界面 (UI) 设计, 大型语言模型, 数据库系统, 人工智能, LangChain, 云计算, UI 组件, PostgreSQL, 用户界面（UI）, Prompt Engineering
Google Cloud
您将获得的技能: 检索-增强生成, 数据采集, 人工智能, 云 API, 文件管理, Google 双子座, 文本挖掘, 数据存储, Query 语言, 云计算, 数据操作, 元数据管理, 嵌入, 双子座, 图像分析, 多模式 Prompt
状态：新状态：免费试用您将获得的技能: AI Orchestration, AI Workflows, LangGraph, Agentic systems, OpenAI API, Enterprise Application Management, Tool Calling, OAuth, Generative AI Agents, Middleware, Real Time Data, Interoperability, API Gateway, Agentic Workflows, Software Development Tools, LLM Application, Prompt Engineering, Retrieval-Augmented Generation, Application Programming Interface (API), Scalability
总之，以下是 10 最受欢迎的 langgraph 课程
- Gen AI - RAG Application Development using LangChain: Packt
- AI Agent Orchestration and Scaling: Edureka
- The Complete LangChain & LLMs Guide: Packt
- 使用 LangChain 的功能、工具和代理: DeepLearning.AI
- LangChain and Workflow Design Course: Simplilearn
- Building Smart Chatbots with LangChain: Packt
- 使用 Langchain 进行 GenAI 总结：总结文本文档: Coursera
- Build, Analyze, and Refactor LLM Workflows: Coursera
- Data Visualization with Plotly Express: Coursera
- 使用 AlloyDB 和 LangChain 构建基于 LLM 和 RAG 的聊天应用程序: Google Cloud
