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, 数据管理, Data Management, 拥抱的脸, Python 程序设计, 数据操作, 集装箱化, Pandas（Python 软件包）, 微软 Azure, 云计算, 大数据, 机器学习, 模型部署, Devops, 数据分析, MLOps（机器学习 Operator）, GitHub, NumPy, 云部署, 探索性数据分析, AWS SageMaker
状态：免费试用Google Cloud
您将获得的技能: 数据管道, Google 云端平台, 自动化, 模型部署, Devops, 持续部署, 机器学习, Model Evaluation, MLOps（机器学习 Operator）, 持续集成, 云部署
状态：新状态：免费试用您将获得的技能: MLOps (Machine Learning Operations), Containerization, AI Workflows, Model Deployment, Generative AI Agents, LangGraph, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Docker (Software), Agentic systems, Google Cloud Platform, AWS SageMaker, CI/CD, Cloud Platforms, DevOps, Azure DevOps Pipelines, Kubernetes, Applied Machine Learning, Scalability
状态：新状态：免费试用Coursera
您将获得的技能: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Test Driven Development (TDD), Software Testing, Scalability, Dashboard, Continuous Integration, Testability, Kubernetes, CI/CD, Performance Tuning, Software Engineering, PyTorch (Machine Learning Library), Docker (Software), Tensorflow, Containerization, Scikit Learn (Machine Learning Library), Git (Version Control System), Python Programming
状态：免费试用多位教师
您将获得的技能: 分类算法, 人工智能, 张力流, 监督学习, 深度学习, 强化学习, 机器学习, 预测建模, 无监督学习, 数据伦理, Model Evaluation, 应用机器学习, 数据预处理, 决策树学习, NumPy, Scikit-learn （机器学习库）, 随机森林算法, Jupyter, 功能工程, Transfer Learning
状态：新状态：免费试用Coursera
您将获得的技能: MLOps (Machine Learning Operations), Image Analysis, Multimodal Prompts, Debugging, Computer Vision, Algorithms, Model Evaluation, Applied Machine Learning, Performance Tuning, Failure Mode And Effects Analysis, Verification And Validation, Root Cause Analysis, Performance Analysis, Machine Learning, Deep Learning, Artificial Neural Networks, Tensorflow, Data Visualization, Python Programming, Experimentation
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: Feature Engineering, Generative AI, Model Deployment, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Machine Learning, Data Preprocessing, MLOps (Machine Learning Operations), Model Evaluation, Applied Machine Learning, Data Cleansing, Data Quality, AI Enablement, Prompt Engineering, Cloud Deployment, Supervised Learning, Scikit Learn (Machine Learning Library), AI Workflows, Cloud Computing
状态：新状态：免费试用您将获得的技能: Model Evaluation, Feature Engineering, Data Preprocessing, Financial Data, Predictive Modeling, Customer Demand Planning, Data-Driven Decision-Making, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Profit and Loss (P&L) Management, Risk Modeling, Inventory Management System, Analytics, Advanced Analytics, Supply Chain Management, Business Analytics, Machine Learning, Business
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, 机器学习算法, 分类算法, 监督学习, Model Evaluation, 功能工程, 机器学习, 数据质量, 模型部署, MLOps（机器学习 Operator）, 数据伦理, 数据预处理, 决策树学习, 业务运营, 应用机器学习, Jupyter, 产品生命周期管理, 项目管理, Data Validation, 数据清理
状态：免费试用您将获得的技能: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Random Forest Algorithm, Data Analysis, Predictive Modeling, Model Evaluation, Bayesian Network, Python Programming, Statistical Modeling, Classification Algorithms
状态：免费试用University of Washington
您将获得的技能: 回归分析, 统计建模, 计算机视觉, 无监督学习, 分类算法, 人工智能, 统计机器学习, 监督学习, 深度学习, 逻辑回归, 贝叶斯统计, 数据预处理, 机器学习, 预测建模, 决策树学习, 应用机器学习, 功能工程, 数据挖掘, 图像分析, Model Evaluation
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
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
- 机器学习操作 (MLOps)：入门指南: Google Cloud
- AI Agents and MLOps for Production-Ready AI: Packt
- ML Production Systems: Coursera
- 机器学习: DeepLearning.AI
- Systematic ML Optimization: Coursera
- Machine Learning on Google Cloud: Google Cloud
- Apply Machine Learning for Predictive Business Analytics: EDUCBA
- 机器学习真实世界中的算法: Alberta Machine Intelligence Institute
- The Nuts and Bolts of Machine Learning: Google
