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
您将获得的技能: Model Deployment, Generative AI, Cloud Deployment, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, MLOps (Machine Learning Operations), AI Workflows, System Monitoring, Feature Engineering, Continuous Monitoring, Applied Machine Learning, Data Preprocessing, Advanced Analytics, Artificial Intelligence, Deep Learning, Data Processing, Machine Learning
状态：新状态：免费试用您将获得的技能: No-Code Development, Model Deployment, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning, Return On Investment, Model Evaluation, Analytics, Performance Measurement, Business Metrics, Responsible AI, Cloud Computing, Big Data, Scalability, Workflow Management, Continuous Improvement Process, Business Continuity, Auditing, Performance Tuning, Application Programming Interface (API)
Google Cloud
您将获得的技能: Data Management, MLOps (Machine Learning Operations), Data Governance, Model Deployment, AI Workflows, Workflow Management, Google Cloud Platform, Data Preprocessing, Applied Machine Learning, Model Evaluation, Data Pipelines, Cloud Deployment, Machine Learning, Containerization
状态：新Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Tensorflow, Google Cloud Platform, Systems Design, Applied Machine Learning, Data Validation, Model Evaluation, Technical Design, Performance Tuning, Distributed Computing, Cloud Deployment, Scalability, Data Pipelines, Debugging
Google Cloud
您将获得的技能: Feature Engineering, Data Preprocessing, Dataflow, Tensorflow, MLOps (Machine Learning Operations), Keras (Neural Network Library), Data Pipelines, Data Transformation, Machine Learning, Applied Machine Learning, Data Modeling, Statistical Methods
状态：新Google Cloud
您将获得的技能: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, Machine Learning, Development Environment, Collaborative Software, Exploratory Data Analysis
您将获得的技能: Big Data, Analytics, Data Analysis, Applied Machine Learning, MLOps (Machine Learning Operations), Google Cloud Platform, Machine Learning, Predictive Modeling, SQL
状态：免费试用您将获得的技能: Generative Model Architectures, ChatGPT, Semantic Web
状态：新Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), Jupyter, Model Deployment, Google Cloud Platform, Machine Learning, Data Preprocessing, Virtual Environment, Development Environment
状态：新Google Cloud
您将获得的技能: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, AI Workflows, Data Preprocessing, Computing Platforms
Google Cloud
您将获得的技能: Predictive Analytics, Big Data, Predictive Modeling, Advanced Analytics, Google Cloud Platform, MLOps (Machine Learning Operations), Data Analysis, Machine Learning Methods, Data Modeling
状态：免费试用您将获得的技能: Site Reliability Engineering, Incident Management, AI Security, MLOps (Machine Learning Operations), Model Deployment, Patch Management, Problem Management, DevOps, System Monitoring, Continuous Monitoring, Dependency Analysis, Sprint Retrospectives, Disaster Recovery, Artificial Intelligence, Vulnerability Assessments, Automation, Dashboard
与 mlops 相关的搜索
总之，以下是 10 最受欢迎的 mlops 课程
- H2O Gen AI Ecosystem Overview - Level 2: H2O.ai
- Practical Machine Learning without Coding: LearnQuest
- Machine Learning in the Enterprise - 한국어: Google Cloud
- 프로덕션 머신러닝 시스템: Google Cloud
- Feature Engineering - Italiano: Google Cloud
- Vertex AI에서 노트북 작업하기: Google Cloud
- Cómo utilizar BigQuery ML para ejecutar inferencias: Google Cloud
- Working with large language models using Azure: Microsoft
- Trabaja con Notebooks en Vertex AI: Google Cloud
- Utiliser des notebooks dans Vertex AI: Google Cloud
