个结果，搜索词为 "mlops（机器学习 operator）"
状态：新状态：免费试用您将获得的技能: Generative AI, Supervised Learning, Generative Model Architectures, AWS SageMaker, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, LLM Application, Applied Machine Learning, Feature Engineering, Exploratory Data Analysis, Deep Learning, A/B Testing, Python Programming, Machine Learning, Data Analysis, Data Processing, AWS CloudFormation, AI Personalization, Network Architecture
状态：免费试用Duke University
您将获得的技能: 云计算, 微软 Azure, 数据操作, GitHub, 应用程序部署, Pandas（Python 软件包）, 机器学习, 负责任的人工智能, NumPy, Python 程序设计, 探索性数据分析, 数据管理, Data Management, 数据分析, Devops, MLOps（机器学习 Operator）, 大数据, 集装箱化, CI/CD, 数据管道, AWS SageMaker
状态：新状态：免费试用您将获得的技能: Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Data Processing, Data Cleansing, Supervised Learning, Data Transformation, MLOps (Machine Learning Operations), Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), CI/CD, Statistical Methods, Data Quality, Real Time Data, Resource Management
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Google Cloud
您将获得的技能: Google 云端平台, 机器学习, 自动化, 云计算管理, 版本控制, 持续部署, Devops, 数据管道, MLOps（机器学习 Operator）, CI/CD
状态：免费试用您将获得的技能: Feature Engineering, PySpark, Data Import/Export, Apache Spark, Apache Kafka, Dashboard, Data Governance, Cloud Services, Metadata Management, Data Management, Applied Machine Learning, Application Programming Interface (API), Apache Hive, Jupyter, Big Data, Data Architecture, Advanced Analytics, Apache Hadoop, Looker (Software), Scalability
是什么让您今天来到 Coursera？
状态：新状态：免费试用National Taiwan University
您将获得的技能: Operations Research, Mathematical Modeling, Process Optimization, Report Writing, Business Mathematics, Network Model, Business Modeling, Industrial Engineering, Linear Algebra, Business Operations, Applied Mathematics, Operations Management, Algorithms, Resource Allocation, Case Studies, Engineering Calculations, Project Design, Machine Learning, Program Implementation, Business Analytics
状态：新您将获得的技能: Data Engineering, Application Deployment, YAML, Virtual Environment
状态：新状态：免费试用您将获得的技能: CI/CD, Real Time Data
状态：免费试用Duke University
您将获得的技能: PyTorch（机器学习库）, 机器学习, Docker (软件), 拉斯特（编程语言）, GitHub, Microsoft Copilot, 网络框架, 人工智能和机器学习（AI/ML）, 负责任的人工智能, 云计算解决方案, Devops, MLOps（机器学习 Operator）, 大数据, CI/CD, 无服务器计算, 张力流, 集装箱化, 命令行界面
状态：免费试用Duke University
您将获得的技能: 调试, 数据操作, 应用编程接口 (API), 机器学习, 脚本, 测试自动化, Pandas（Python 软件包）, 数据导入/导出, 数值分析, 面向对象编程（OOP）, NumPy, 软件测试, 数据结构, 计划发展, Python 程序设计, MLOps（机器学习 Operator）, 命令行界面
状态：新状态：免费试用您将获得的技能: Statistical Methods
总之，以下是 10 最受欢迎的 mlops（机器学习 operator） 课程
- Data Science Beyond the Basics (ML+DS): Coursera
- MLOps | 机器学习运营: Duke University
- Azure ML Bootcamp: Machine Learning on the Cloud: Packt
- Large Language Model Operations (LLMOps): Duke University
- 机器学习操作 (MLOps)：入门指南: Google Cloud
- Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
- Operations Research: National Taiwan University
- DevOps to MLOps Bootcamp– Build & Deploy ML Systems: Packt
- Advanced Deployment, MLOps, and Generative AI in Azure: Packt
- DevOps、DataOps、MLOps: Duke University
