个结果，搜索词为 "mlops (machine learning operations)"
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: 探索性数据分析, GitHub, 机器学习, NumPy, 数据管道, AWS SageMaker, 负责任的人工智能, CI/CD, 数据管理, Data Management, 数据操作, Python 程序设计, 云计算, Devops, MLOps（机器学习 Operator）, 集装箱化, 应用程序部署, 微软 Azure, 大数据, 数据分析, Pandas（Python 软件包）
状态：免费试用多位教师
您将获得的技能: 机器学习, 决策树学习, 无监督学习, NumPy, Python 程序设计, 深度学习, 数据伦理, 随机森林算法, 预测建模, 负责任的人工智能, 应用机器学习, Jupyter, 监督学习, 人工智能, 强化学习, 功能工程, Scikit-learn （机器学习库）, 张力流, 人工神经网络, 分类与回归树 (CART)
状态：新状态：免费试用您将获得的技能: Regression Analysis, Matplotlib, Feature Engineering, Time Series Analysis and Forecasting, Jupyter, Image Analysis, Scikit Learn (Machine Learning Library), Applied Machine Learning, Tensorflow, Data Visualization, Machine Learning Algorithms, Amazon Web Services, Python Programming, Cloud Applications, Data Transformation, Predictive Modeling, Data Processing, Health Informatics, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML)
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：新状态：免费试用您将获得的技能: CI/CD, Real Time Data
是什么让您今天来到 Coursera？
状态：免费试用Google Cloud
您将获得的技能: 云计算管理, Google 云端平台, 机器学习, CI/CD, 数据管道, 版本控制, Devops, MLOps（机器学习 Operator）, 持续部署, 自动化
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: Matplotlib, Regression Analysis, Scikit Learn (Machine Learning Library), Data Visualization, Python Programming, Applied Machine Learning, Data Processing, Pandas (Python Package), NumPy, Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Machine Learning, Data Manipulation, Data Science, Dimensionality Reduction, Statistical Modeling, Feature Engineering, Unsupervised Learning, Performance Tuning
状态：免费试用您将获得的技能: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning
状态：免费试用Duke University
您将获得的技能: 无服务器计算, 机器学习, Docker (软件), 人工智能和机器学习（AI/ML）, GitHub, 网络框架, CI/CD, PyTorch（机器学习库）, 云计算解决方案, 负责任的人工智能, Devops, MLOps（机器学习 Operator）, 集装箱化, Microsoft Copilot, 大数据, 拉斯特（编程语言）, 张力流, 命令行界面
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), Data Quality, Resource Management
与 mlops (machine learning operations) 相关的搜索
总之，以下是 10 最受欢迎的 mlops (machine learning operations) 课程
- Data Science Beyond the Basics (ML+DS): Coursera
- MLOps | 机器学习运营: Duke University
- 机器学习: DeepLearning.AI
- AI Driven Machine Learning with Python: EDUCBA
- Azure ML Bootcamp: Machine Learning on the Cloud: Packt
- Advanced Deployment, MLOps, and Generative AI in Azure: Packt
- 机器学习操作 (MLOps)：入门指南: Google Cloud
- DevOps to MLOps Bootcamp– Build & Deploy ML Systems: Packt
- Machine Learning with Python: Build & Optimize: EDUCBA
- The Nuts and Bolts of Machine Learning: Google
