筛选依据
主题必需的
语言必需的
在整个课程（说明和评估）中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
字幕必需的
教师必需的
探索 MLOps 课程目录
状态：免费试用Duke University
您将获得的技能: MLOps（机器学习 Operator）, Google 云端平台, 自然语言处理, 自动化, Flask（网络框架）, 计算机视觉, 人工智能和机器学习（AI/ML）, 持续交付, 应用编程接口 (API), 云应用, 云 API, 微软 Azure, 应用机器学习
状态：预览NVIDIA
您将获得的技能: 云计算, 大型语言模型, MLOps（机器学习 Operator）, 人工智能, 数据基础设施, 信息技术业务, 信息技术基础设施, 网络基础设施, 计算机结构, 数据中心, 硬件架构, 人工神经网络, 基础设施架构, 生成式人工智能, PyTorch（机器学习库）, 云基础设施, 机器学习, 张力流, 深度学习
状态：预览您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Application Lifecycle Management, Continuous Deployment, Application Deployment, Machine Learning, Applied Machine Learning, Continuous Integration, Automation, Data Management
状态：免费试用Alberta Machine Intelligence Institute
您将获得的技能: 数据伦理, MLOps（机器学习 Operator）, 道德标准与行为, 监督学习, 分类与回归树 (CART), 产品生命周期管理, 项目管理, 数据质量, 测试数据, 机器学习算法, 数据处理, 功能工程, 应用机器学习, 机器学习, Jupyter, Machine Learning 方法, 负责任的人工智能, 数据清理, 业务运营, 数据验证
状态：免费试用您将获得的技能: Data Pipelines, Dataflow, Google Cloud Platform, Real Time Data, Data Maintenance, Data Lakes, Data Storage, MLOps (Machine Learning Operations), Data Analysis, Data Warehousing, Data Processing, Extract, Transform, Load, Cloud Engineering, Data Infrastructure, Cloud Infrastructure, Apache Airflow, Cloud Storage, Big Data, Tensorflow, Unstructured Data
状态：免费试用Duke University
您将获得的技能: 云 Native 计算, Google 云端平台, 云计算, MLOps（机器学习 Operator）, 基础设施即服务（IaaS）, CI/CD, 应用程序部署, 持续交付, 微服务, 云平台, Devops, 应用机器学习, 分布式计算, 软件工程, 云基础设施, 云 API, 机器学习, 技术交流, 摘录, 敏捷软件开发
状态：新您将获得的技能: Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Responsible AI, Predictive Modeling, Continuous Monitoring, Data Ethics, Machine Learning, A/B Testing
状态：免费试用您将获得的技能: Predictive Modeling, Responsible AI, Predictive Analytics, Machine Learning, Data Ethics, MLOps (Machine Learning Operations), Applied Machine Learning, Data-Driven Decision-Making, Statistical Modeling, Performance Measurement, Supervised Learning, Business Ethics, Decision Tree Learning, Artificial Intelligence and Machine Learning (AI/ML), Leadership and Management, Business Analytics, Data Science, Machine Learning Algorithms, Artificial Intelligence, Data Processing
状态：免费试用您将获得的技能: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Artificial Neural Networks, Cloud Computing, Machine Learning, Data Cleansing, Python Programming, Data Transformation, Application Programming Interface (API)
您将获得的技能: Generative AI, MLOps (Machine Learning Operations), Continuous Monitoring, Statistical Methods, Responsible AI, Predictive Modeling, Google Cloud Platform, Machine Learning, Natural Language Processing
您将获得的技能: Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Responsible AI, Predictive Modeling, Large Language Modeling, Machine Learning, Continuous Monitoring
状态：新状态：免费试用您将获得的技能: Data Management, Data Pipelines, Continuous Monitoring
总之，以下是 10 最受欢迎的 mlops 课程
- 云机器学习工程和 MLOps: Duke University
- AI 基础设施和 Operator 基础知识: NVIDIA
- Machine Learning Operations (MLOps): Getting Started - 한국어: Google Cloud
- 机器学习真实世界中的算法: Alberta Machine Intelligence Institute
- Preparing for Google Cloud Certification: Cloud Data Engineer: Google Cloud
- 大规模构建云计算解决方案: Duke University
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Bahasa Indonesia: Google Cloud
- Machine Learning Rock Star – the End-to-End Practice: SAS
- Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文: Google Cloud
