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：新状态：免费试用Coursera
您将获得的技能: Data Ethics, Responsible AI, Compliance Auditing, Ethical Standards And Conduct, Compliance Management, Auditing, Technical Documentation, Case Studies, Project Documentation, Model Deployment, Model Evaluation, Business Ethics, MLOps (Machine Learning Operations), Accountability, Data Quality
状态：预览您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Cloud Deployment, DevOps, Continuous Deployment, Model Evaluation, AI Workflows, Automation, Applied Machine Learning, Machine Learning, Data Processing
状态：预览您将获得的技能: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Machine Learning Methods, AI Security, Predictive Modeling, Google Cloud Platform, Data Quality
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
- 状态：预览
您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, DevOps, AI Workflows, Applied Machine Learning, Continuous Deployment, Cloud Deployment, Automation, Continuous Monitoring, Data Management
状态：新状态：免费试用您将获得的技能: AWS SageMaker, MLOps (Machine Learning Operations), Feature Engineering, AI Personalization, Model Deployment, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Data Cleansing, Data Processing, Data Wrangling, Data Integrity, Machine Learning, Machine Learning Algorithms, Data Modeling, Supervised Learning, Data Mining, Random Forest Algorithm, Data Management, Unsupervised Learning
Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Feature Engineering, Model Deployment, Google Cloud Platform, Data Processing, Data Storage Technologies, Data Modeling, Data Storage, Data Management, DevOps
状态：新状态：免费试用您将获得的技能: Prompt Engineering, Prompt Patterns, MLOps (Machine Learning Operations), Technical Documentation, Performance Tuning, Large Language Modeling, Technical Writing, Configuration Management, Performance Testing, Data Maintenance, Benchmarking, Requirements Analysis
您将获得的技能: Model Evaluation, MLOps (Machine Learning Operations), Generative AI, Continuous Monitoring, Model Deployment, Google Cloud Platform, Predictive Modeling, AI Security
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
Google Cloud
您将获得的技能: Model Evaluation, Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Predictive Modeling, Continuous Monitoring
您将获得的技能: Model Evaluation, Generative AI, Continuous Monitoring, Responsible AI, Google Cloud Platform, MLOps (Machine Learning Operations), Machine Learning Methods, Predictive Modeling
与 mlops 相关的搜索
总之，以下是 10 最受欢迎的 mlops 课程
- Document and Evaluate AI Ethics: Coursera
- Machine Learning Operations (MLOps): Getting Started - Português Brasileiro: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Français: Google Cloud
- MLOps with Vertex AI: Manage Features - Français: Google Cloud
- Machine Learning Operations (MLOps): Getting Started - 日本語版: Google Cloud
- Exam Prep MLA-C01: AWS Machine Learning Engineer Assocaite: Whizlabs
- MLOps with Vertex AI: Manage Features - Español: Google Cloud
- Document and Evaluate LLM Prompting Success: Coursera
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Deutsch: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 繁體中文: Google Cloud
