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: Python 程序设计, 机器学习, 云计算, 探索性数据分析, 数据操作, GitHub, 负责任的人工智能, 应用程序部署, 数据管理, Data Management, Pandas（Python 软件包）, 微软 Azure, NumPy, 数据分析, Devops, 数据管道, 集装箱化, 大数据, CI/CD, MLOps（机器学习 Operator）, AWS SageMaker
状态：免费试用多位教师
您将获得的技能: 机器学习, Python 程序设计, 深度学习, 预测建模, 负责任的人工智能, 人工智能和机器学习（AI/ML）, 数据伦理, NumPy, 应用机器学习, 强化学习, 随机森林算法, 人工智能, 决策树学习, Jupyter, 监督学习, 分类与回归树 (CART), 功能工程, 无监督学习, 张力流, Scikit-learn （机器学习库）
DeepLearning.AI
您将获得的技能: 机器学习, 应用程序部署, 持续部署, 持续监测, Data Validation, 软件开发生命周期, 数据质量, 功能工程, 数据管道, 应用机器学习, MLOps（机器学习 Operator）
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：新您将获得的技能: Data Engineering, Application Deployment, YAML, Virtual Environment
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: 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: Machine Learning Methods, Healthcare Ethics, Health Informatics, Machine Learning, Deep Learning, Clinical Informatics, Statistical Machine Learning, Predictive Modeling, Electronic Medical Record System, Machine Learning Algorithms, Data Mining, Data Processing, Data Analysis
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Google Cloud
您将获得的技能: 机器学习, Google 云端平台, 自动化, 持续部署, 版本控制, Devops, 云计算管理, 数据管道, CI/CD, MLOps（机器学习 Operator）
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
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
- 生产中的 Machine Learning: DeepLearning.AI
- AI Driven Machine Learning with Python: EDUCBA
- DevOps to MLOps Bootcamp– Build & Deploy ML Systems: Packt
- Azure ML Bootcamp: Machine Learning on the Cloud: Packt
- Machine Learning for Medical Data : SkillUp
- Advanced Deployment, MLOps, and Generative AI in Azure: Packt
- 机器学习操作 (MLOps)：入门指南: Google Cloud
