MLOps 课程
MLOps 课程可以帮助您学习机器学习项目的部署策略、模型监控以及持续集成和交付。您可以掌握自动化工作流、管理数据管道和确保符合治理标准的技能。许多课程介绍了 TensorFlow、Kubernetes 和 MLflow 等工具，这些工具支持操作 AI Model 并简化数据科学家和 IT 团队之间的协作。
热门 MLOps 课程和认证
状态：免费试用Google Cloud
您将获得的技能: Feature Engineering, Responsible AI, Generative AI, Model Deployment, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Data Preprocessing, Data Quality, MLOps (Machine Learning Operations), Exploratory Data Analysis, Machine Learning, Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Data Cleansing, Prompt Engineering, Cloud Deployment, Data Strategy, Cloud Computing
状态：新您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, AWS SageMaker, CI/CD, Data Management, Cloud Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Automation, Data Pipelines, Continuous Monitoring
状态：新状态：免费试用您将获得的技能: Model Deployment, Large Language Modeling, Cloud Deployment, Data Ethics, CI/CD, Transfer Learning, Model Evaluation, Performance Tuning
状态：新您将获得的技能: Model Deployment, Data Preprocessing, Model Evaluation
状态：预览您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Containerization, AI Workflows, Scalability, DevOps, Model Evaluation, Anomaly Detection, Continuous Monitoring, Version Control
状态：免费试用Duke University
您将获得的技能: Python 程序设计, MLOps（机器学习 Operator）, 数据预处理, 亚马逊网络服务, 探索性数据分析, 数据分析, 云部署, AWS SageMaker, 数据管道, 无服务器计算, 机器学习, 模型评估, 微软 Azure, 功能工程, 模型部署, 云计算解决方案
状态：免费试用Duke University
您将获得的技能: 拥抱的脸, 应用程序部署, 詹金斯, 亚马逊网络服务, 自然语言处理, CI/CD, 还原式 API, 测试案例, 命令行界面, 集装箱化, 无服务器计算, 数据管道, 生成式人工智能, Docker (软件), 大型语言模型, 计算机编程, LLM 申请, Devops, 拉斯特（编程语言）, 云计算
状态：预览Google Cloud
您将获得的技能: Google 云端平台, MLOps（机器学习 Operator）, 数据建模, 数据处理, 数据安全, 数据存储技术, 模型部署, 功能工程, 数据管理
状态：新状态：免费试用您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), AI Security, Cloud Deployment, DevOps, CI/CD, Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making
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：新状态：免费试用您将获得的技能: Hugging Face, Large Language Modeling, MLOps (Machine Learning Operations), Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AI Product Strategy, Transfer Learning, Applied Machine Learning, AI Personalization, Model Deployment, Model Evaluation, Responsible AI, Performance Tuning, Model Based Systems Engineering, Program Evaluation, Analysis
状态：新状态：免费试用您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Scalability, CI/CD, Continuous Deployment, Application Deployment, DevOps, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Continuous Integration, Performance Measurement, Business Metrics, Process Optimization, Verification And Validation, Automation, Key Performance Indicators (KPIs), Performance Analysis, Data-Driven Decision-Making
与 mlops 相关的搜索
总之，以下是 10 最受欢迎的 mlops 课程
- Machine Learning on Google Cloud: Google Cloud
- Learn MLOps for Machine Learning: Pearson
- Advanced Deployment, MLOps, and Generative AI in Azure: Packt
- DevOps to MLOps Bootcamp– Build & Deploy ML Systems: Packt
- Operationalizing ML Models: MLOps for Scalable AI: Coursera
- MLOps 平台：亚马逊 SageMaker 和 Azure ML: Duke University
- Rust 编程: Duke University
- 使用 Vertex AI 进行机器学习操作 (MLOps)：管理功能: Google Cloud
- Secure AI Model Deployments & Lifecycles: Coursera
- Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
