个结果，搜索词为 "mlops (machine learning operations)"
状态：免费试用Duke University
您将获得的技能: 负责任的人工智能, 探索性数据分析, 云计算, 数据操作, 机器学习, 集装箱化, NumPy, 数据管理, Python 程序设计, 拥抱的脸, GitHub, MLOps（机器学习 Operator）, Pandas（Python 软件包）, 大数据, 模型部署, AWS SageMaker, 微软 Azure, 数据分析, Devops, 云部署
状态：新您将获得的技能: Apache Airflow, Docker (Software), SQL, Git (Version Control System), Containerization, CI/CD, Data Pipelines, Ansible, Debugging, Database Management, Continuous Deployment, Performance Tuning, Infrastructure as Code (IaC), Continuous Integration, Workflow Management, DevOps, Root Cause Analysis, Configuration Management, Automation, Python Programming
状态：免费试用Google Cloud
您将获得的技能: 自动化, 模型评估, 持续部署, Google 云端平台, 机器学习, 数据管道, 持续集成, MLOps（机器学习 Operator）, 模型部署, Devops, 云部署
状态：新状态：免费试用您将获得的技能: Random Forest Algorithm, Decision Tree Learning, Data Preprocessing, Applied Machine Learning, Jupyter, Classification Algorithms, Java, Sampling (Statistics), Feature Engineering, Model Evaluation, Supervised Learning, Predictive Modeling, Machine Learning, Learning Styles, Program Evaluation, Program Implementation
状态：新状态：免费试用您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Anomaly Detection, Model Evaluation, Dashboard, CI/CD, Data Visualization, DevOps, Continuous Monitoring, Data-Driven Decision-Making, Performance Analysis, Key Performance Indicators (KPIs), Statistical Analysis, Performance Tuning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Automation, Agentic systems, Version Control
状态：免费试用多位教师
您将获得的技能: 模型评估, 迁移学习, 机器学习, 预测建模, NumPy, Scikit-learn （机器学习库）, 监督学习, 强化学习, 分类算法, 人工智能, Jupyter, 决策树学习, 无监督学习, 张力流, 随机森林算法, 数据伦理, 深度学习, 数据预处理, 应用机器学习, 功能工程
是什么让您今天来到 Coursera？
状态：免费试用您将获得的技能: Feature Engineering, Model Evaluation, Advanced Analytics, Statistical Machine Learning, Unsupervised Learning, Machine Learning, Data Ethics, Supervised Learning, Decision Tree Learning, Random Forest Algorithm, Classification Algorithms, Python Programming, Performance Tuning
状态：新状态：免费试用您将获得的技能: Model Evaluation, Data Preprocessing, Model Deployment, MLOps (Machine Learning Operations), JUnit, Decision Tree Learning, Build Tools, Performance Tuning, Classification And Regression Tree (CART), Java, Apache Maven, Data Structures, Random Forest Algorithm, Gradle, Data Pipelines, Software Architecture, Software Design, Object Oriented Programming (OOP), Machine Learning, Apache
状态：免费试用您将获得的技能: Model Deployment, Feature Engineering, PySpark, Data Import/Export, Big Data, Apache Spark, Dashboard, Data Architecture, Data Governance, Apache Kafka, Cloud Deployment, Apache Hadoop, Metadata Management, Data Storage, Apache Hive, Application Programming Interface (API), Data Quality, Data Cleansing, Applied Machine Learning, Cloud Services
状态：新Coursera
状态：免费试用Google Cloud
您将获得的技能: Model Deployment, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Reinforcement Learning, Transfer Learning, Computer Vision, Systems Design, Applied Machine Learning, Machine Learning Methods, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Embeddings
状态：免费试用Alberta Machine Intelligence Institute
您将获得的技能: 负责任的人工智能, 机器学习, 模型评估, 产品生命周期管理, 监督学习, MLOps（机器学习 Operator）, 分类算法, 功能工程, 决策树学习, 数据伦理, 模型部署, 数据清理, 业务运营, 机器学习算法, Data Validation, 数据预处理, 项目管理, 应用机器学习, 数据质量, Jupyter
是什么让您今天来到 Coursera？
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
- MLOps | 机器学习运营: Duke University
- DataOps: Automation & Reliability: Coursera
- 机器学习操作 (MLOps)：入门指南: Google Cloud
- Improve Accuracy with ML Ensemble Methods: Coursera
- Agentic AI Performance & Reliability: Coursera
- 机器学习: DeepLearning.AI
- The Nuts and Bolts of Machine Learning: Google
- Level Up: Java-Powered Machine Learning: Coursera
- Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
- Systematic ML Optimization: Coursera
