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
您将获得的技能: 生成式人工智能, Prompt Engineering, 背景工程, 及时工程, 法学硕士申请, 代理系统, 拥抱的脸, 工具调用, 嵌入, 大型语言建模, 生成式人工智能代理, 及时的工程工具, 检索-增强生成
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
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
您将获得的技能: Prompt Engineering, AI Orchestration, AI Workflows, LangChain, Retrieval-Augmented Generation, Agentic Workflows, Tool Calling, LangGraph, LLM Application, Prompt Patterns, Agentic systems, Multimodal Prompts, Model Context Protocol, Generative AI, AI Security, Generative AI Agents, Vector Databases, OpenAI API, AI Integrations, Software Development
您将获得的技能: LangChain, Prompt Engineering, LLM Application, LangGraph, OpenAI API, Generative AI Agents, AI Orchestration, Agentic systems, AI Workflows, Large Language Modeling, Agentic Workflows, Hugging Face, OpenAI, Embeddings, Artificial Intelligence and Machine Learning (AI/ML), Development Environment, AI Integrations, Application Development, Retrieval-Augmented Generation, Artificial Intelligence
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, Generative Model Architectures, AI Workflows
是什么让您今天来到 Coursera？
您将获得的技能: 生成式人工智能, 法学硕士申请, 微调, 文件管理, 嵌入, 用户界面（UI）, 矢量数据库, 检索-增强生成
您将获得的技能: Prompt Engineering, Prompt Patterns, Data Wrangling, Large Language Modeling, LangChain, Retrieval-Augmented Generation, Exploratory Data Analysis, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, Prompt Engineering Tools, LLM Application, Keras (Neural Network Library), Responsible AI, Vector Databases, Fine-tuning, Programming Principles
您将获得的技能: LangChain, LLM Application, Prompt Engineering, Large Language Modeling, OpenAI API, Hugging Face, Embeddings, AI Workflows, Development Environment, Generative AI Agents, Retrieval-Augmented Generation, Vector Databases, Python Programming, Agentic systems, Document Management, Application Development, Image Analysis
IBM
您将获得的技能: 生成式人工智能, 无监督学习, Prompt Engineering, 生成模型架构, 计算机视觉, 及时工程, Python 编程, 数据科学, PySpark, Keras（神经网络库）, Apache Spark, 微调, 机器学习, Model Evaluation, Transfer Learning, 大型语言建模, 矢量数据库, 迁移学习, 模型评估, 视觉转换器（ViT）, 及时的工程工具, PyTorch（机器学习库）, 检索-增强生成
DeepLearning.AI
您将获得的技能: Prompt Engineering, 数据访问, 及时工程, 法学硕士申请, 文件管理, LangChain, 嵌入, 大型语言建模, 数据处理, 数据存储, 矢量数据库, 检索-增强生成
您将获得的技能: LangChain, LLM Application, Hugging Face, Retrieval-Augmented Generation, Prompt Patterns, LangGraph, Model Deployment, AI Workflows, Large Language Modeling, AI Orchestration, Generative AI, Token Optimization, Generative Model Architectures, AI Integrations, Fine-tuning, Embeddings, Data Pipelines, Containerization, Restful API, Docker (Software)
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
- Build Next-Gen LLM Apps with LangChain & LangGraph: Coursera
- IBM RAG and Agentic AI: IBM
- Langchain and Langgraph: Packt
- LangChain for LLM Application Development: DeepLearning.AI
- 项目使用 RAG 和 LangChain 的生成式 AI 应用程序: IBM
- IBM Generative AI Engineering: IBM
- The Complete LangChain & LLMs Guide: Packt
- IBM 人工智能工程: IBM
