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：免费试用您将获得的技能: Statistical Visualization, Data Visualization, Model Evaluation, Statistical Hypothesis Testing, MLOps (Machine Learning Operations), Statistical Analysis, Large Language Modeling, Statistical Methods, Data-Driven Decision-Making, Matplotlib, Statistical Inference, Probability & Statistics, Experimentation, Performance Metric
状态：新状态：免费试用您将获得的技能: AI Security, Application Security, Secure Coding, DevSecOps, Threat Modeling, Vulnerability Scanning, Vulnerability Assessments, AI Personalization, Continuous Integration, Open Source Technology, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Dependency Analysis, Analysis, Program Implementation, Supply Chain
状态：新状态：免费试用您将获得的技能: Miro AI, Process Optimization, Process Improvement and Optimization, Productivity Software, Process Analysis, Business Workflow Analysis, Expense Management, Cost Management, Cost Benefit Analysis, Data-Driven Decision-Making
状态：新状态：预览Starweaver
您将获得的技能: Cyber Threat Hunting, Splunk, Threat Detection, Jupyter, Anomaly Detection, Threat Management, Cybersecurity, Data Analysis, Data Science, Applied Machine Learning, Security Information and Event Management (SIEM), Pandas (Python Package), Interactive Data Visualization, Data Cleansing, Data Transformation, MLOps (Machine Learning Operations), Unsupervised Learning, Machine Learning Methods, Automation
状态：新状态：免费试用您将获得的技能: Responsible AI, AI Workflows, AI Enablement, Agentic systems, Automation, Business Process Automation, Real Time Data, MLOps (Machine Learning Operations), AI Personalization, IT Automation, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, No-Code Development, Cloud-Based Integration, Business Transformation, Cloud API, Python Programming, Data Analysis, Restful API, API Design
状态：预览您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, DevOps, Applied Machine Learning, Cloud Deployment, AI Workflows, Automation, Continuous Deployment, Containerization, Data Processing
状态：新您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, Generative AI, Model Deployment, Cloud Management, Kubernetes, Large Language Modeling, CI/CD, Cloud Deployment, Machine Learning Methods, Continuous Deployment, Tensorflow, Model Evaluation, Apache Airflow, AI Workflows, Continuous Integration, Feature Engineering, Containerization, Performance Tuning
状态：免费试用Microsoft
您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Data Ethics, Azure DevOps Pipelines, Azure DevOps, Model Deployment, Generative AI, AI Workflows, Microsoft Azure, Application Lifecycle Management, CI/CD, Version Control, Model Evaluation, System Monitoring, Continuous Monitoring
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
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
状态：预览您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, DevOps, Application Lifecycle Management, Continuous Deployment, Model Evaluation, Applied Machine Learning, Cloud Solutions, Automation, Data Management
状态：新状态：免费试用您将获得的技能: Data Preprocessing, Model Deployment, Model Evaluation, Feature Engineering, Microsoft Azure, Applied Machine Learning, Machine Learning, Large Language Modeling, Data Cleansing, Supervised Learning, Data Transformation, Cloud Deployment, Data Ethics, CI/CD, Machine Learning Algorithms, Transfer Learning, Data Quality, Performance Tuning
与 mlops 相关的搜索
总之，以下是 10 最受欢迎的 mlops 课程
- Evaluate LLMs: Test and Prove Significance: Coursera
- Secure AI Code & Libraries with Static Analysis: Coursera
- Optimize LLM Costs & Streamline Processes: Coursera
- Threat Hunting Techniques: Starweaver
- Automating Decision Workflows with AI: Edureka
- Machine Learning Operations (MLOps): Getting Started - Français: Google Cloud
- Real-world End to End Machine Learning Ops on Google Cloud: Packt
- MLOps and responsible AI practices: Microsoft
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 日本語版: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - Français: Google Cloud
