个结果，搜索词为 "llm application"
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：新状态：免费试用您将获得的技能: Prompt Engineering, LLM Application, Large Language Modeling, Responsible AI, LangChain, Generative Model Architectures, Generative AI, Application Deployment, Application Development, Technical Management, ChatGPT, Trend Analysis, Program Evaluation, Artificial Intelligence, Real Time Data, Applied Machine Learning, Data Ethics, Analytics, Business Strategy, Python Programming
状态：新状态：预览AI CERTs
您将获得的技能: Legal Technology, Legal Risk, Natural Language Processing, Artificial Intelligence, Responsible AI, Generative AI, Compliance Management, LLM Application, Tensorflow, Electronic Discovery, Keras (Neural Network Library), Litigation Support, Prompt Engineering, Automation, Contract Review, Intellectual Property
状态：免费试用Google Cloud
您将获得的技能: 生成式人工智能, 大型语言模型, LLM 申请, 生成模型架构, Prompt Engineering, 提示模式
状态：免费DeepLearning.AI
您将获得的技能: Responsible AI, LLM Application, Large Language Modeling, Google Cloud Platform, MLOps (Machine Learning Operations), Software Versioning, Supervised Learning
状态：免费DeepLearning.AI
您将获得的技能: 生成式人工智能, LLM 申请, JavaScript 框架, Node.JS, LangChain, Python 程序设计, 生成式 AI 代理, Prompt Engineering
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, LLM Application, LangGraph, Large Language Modeling, Generative AI, Generative Model Architectures, Cloud-Based Integration, CI/CD, Cloud API, Data Integration, Artificial Intelligence, Containerization, Restful API, Open Source Technology, MLOps (Machine Learning Operations), Cloud Development, Continuous Integration, Amazon Web Services, Docker (Software), Python Programming
状态：新您将获得的技能: Large Language Modeling, MLOps (Machine Learning Operations), Prompt Engineering, AWS SageMaker, Extract, Transform, Load, Data Pipelines, CI/CD, Supervised Learning, Application Deployment, Scalability, Performance Tuning
状态：新状态：免费试用您将获得的技能: LangChain, LLM Application, Large Language Modeling, Generative AI, Tool Calling, ChatGPT, Generative AI Agents, Responsible AI, OpenAI, Prompt Engineering, PyTorch (Machine Learning Library), Tensorflow, Semantic Web, Natural Language Processing, Artificial Intelligence, Application Development, Analytical Skills, Application Programming Interface (API), Supervised Learning, Computer Programming Tools
状态：新状态：免费试用您将获得的技能: LangChain, LLM Application, LangGraph, Large Language Modeling, Responsible AI, Generative AI, Agentic systems, Prompt Engineering, Generative AI Agents, Performance Tuning, Artificial Intelligence, Natural Language Processing, Cloud Development, Application Programming Interface (API), Python Programming, Application Performance Management, Scalability, Application Deployment, Data Processing, Pandas (Python Package)
状态：免费试用Duke University
您将获得的技能: 大型语言模型, LLM 申请, 生成式人工智能, 数据库, 生成模型架构, 多模式 Prompt, 数据库管理系统, ChatGPT, MLOps（机器学习 Operator）, 阿帕奇气流, 可扩展性, Prompt Engineering, 工作流程管理, 亚马逊基岩, 性能调整, 数据湖, 性能分析, 摘录, AWS SageMaker, OpenAI
状态：免费试用您将获得的技能: 漏洞扫描, 持续监测, 开发环境, 安全测试, 系统监控, 安全 Code, 应用安全, 应用程序性能管理, 威胁建模, 数据安全, 软件开发生命周期, 开放式网络应用程序安全项目（OWASP）, 脆弱性评估, DevSecOps
与 llm application 相关的搜索
总之，以下是 10 最受欢迎的 llm application 课程
- LangChain for LLM Application Development: DeepLearning.AI
- Harnessing LLMs: Strategy, Fine-Tuning & Evaluation: Coursera
- AI for Legal Practice: AI CERTs
- 大型语言模型介绍: Google Cloud
- LLMOps: DeepLearning.AI
- 使用 LangChain.js 构建 LLM 应用程序: DeepLearning.AI
- Building LLMs with Hugging Face and LangChain: Edureka
- LLM Engineer’s Handbook: Packt
- LLM Application Engineering and Development Certification: Simplilearn
- Developing LLM Applications with LangChain: Edureka
