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
Coursera
您将获得的技能: AI Security, Responsible AI, Threat Modeling, DevSecOps, Governance Risk Management and Compliance, Compliance Management, Data Ethics, Data Governance, Model Evaluation, Reinforcement Learning, Risk Management, Prompt Engineering, Governance, Regulatory Compliance, Security Testing, MLOps (Machine Learning Operations), MITRE ATT&CK Framework, Continuous Monitoring, Ethical Standards And Conduct, Vulnerability Assessments
Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Feature Engineering, Google Cloud Platform, Data Processing, Data Modeling, Data Management, Applied Machine Learning, Data Quality, Data Storage
您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, DevOps, AI Workflows, Applied Machine Learning, Continuous Deployment, Automation, Data Management
Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Data Processing, Data Modeling, Data Management, Applied Machine Learning, Data Storage, Data Import/Export, Scalability
Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, Data Modeling, Feature Engineering, Model Deployment, Data Management, Data Storage, Data Processing, Live Streaming
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, DevOps, Application Lifecycle Management, Model Evaluation, AI Workflows, Cloud Deployment, Continuous Deployment, Automation
您将获得的技能: Model Evaluation, Generative AI, MLOps (Machine Learning Operations), Google Cloud Platform, Responsible AI, Predictive Modeling, AI Security, Continuous Monitoring, Scalability
您将获得的技能: Model Evaluation, Generative AI, Continuous Monitoring, Google Cloud Platform, Model Deployment, MLOps (Machine Learning Operations), Predictive Modeling, Data Quality
您将获得的技能: LLM Application, MLOps (Machine Learning Operations), Large Language Modeling, Data Processing, Model Deployment, AI Workflows, Prompt Engineering, Responsible AI, Generative AI, Scalability, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Data Transformation, Continuous Monitoring, Feature Engineering, Natural Language Processing, Artificial Intelligence, Data Collection
您将获得的技能: Model Evaluation, Generative AI, Continuous Monitoring, Google Cloud Platform, Responsible AI, MLOps (Machine Learning Operations), Predictive Modeling
您将获得的技能: MLOps (Machine Learning Operations), Model Evaluation, Version Control, Large Language Modeling, Git (Version Control System), Data Management, Performance Testing, Dashboard, Machine Learning, Scripting, Performance Analysis, Technical Documentation
Google Cloud
您将获得的技能: Model Evaluation, Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Predictive Modeling, Continuous Monitoring
总之，以下是 10 最受欢迎的 mlops 课程
- Building Trustworthy AI: Coursera
- MLOps with Vertex AI: Manage Features - 한국어: Google Cloud
- Machine Learning Operations (MLOps): Getting Started - 日本語版: Google Cloud
- MLOps with Vertex AI: Manage Features - Français: Google Cloud
- MLOps with Vertex AI: Manage Features - Español: Google Cloud
- Machine Learning Operations (MLOps): Getting Started - Français: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 日本語版: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文: Google Cloud
- Essential Guide to LLMOps: Packt
- MMachine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 한국어: Google Cloud
