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
Google Cloud
您将获得的技能: Jupyter, MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Data Preprocessing, Development Environment
Universidad de los Andes
您将获得的技能: Social Network Analysis, Data Presentation, Data Storytelling, Systems Thinking, Unsupervised Learning, Deep Learning, Computer Vision, Reinforcement Learning, Natural Language Processing, Predictive Modeling, Time Series Analysis and Forecasting, Project Management Life Cycle, Logistic Regression, Marketing Analytics, MLOps (Machine Learning Operations), Descriptive Analytics, Strategic Decision-Making, Simulations, Operations Research, Statistical Machine Learning
IBM
您将获得的技能: 数据管理, Data Management, 数据转换, 冲刺计划, 数据驱动决策, 数据战略, 分类学, 冲刺回顾, 数据管道, 业务重点, 数据质量, 流程改进, 元数据管理, 数据扫盲, 数据建模, 数据整合
Board Infinity
您将获得的技能: Cloud Management, Billing, Cloud Computing, Cloud Platforms, Cost Management, Multi-Cloud, Expense Management, Cross-Functional Collaboration, Financial Controls, Amazon Web Services, Budgeting, Account Management, Automation
Board Infinity
您将获得的技能: Cloud Management, Cloud Computing, Cloud Services, Cost Management, Cloud Infrastructure, Budget Management, Cross-Functional Collaboration, Expense Management, Billing, Financial Analysis, Accountability, Resource Utilization
Duke University
您将获得的技能: 机器学习, 及时工程, 拥抱的脸, 模型部署, 开放源码技术, 法学硕士申请, 大型语言建模, 集装箱化, 自然语言处理
Whizlabs
您将获得的技能: Machine Learning Algorithms, Image Analysis, Reinforcement Learning, Classification Algorithms, Forecasting, Algorithms, AWS SageMaker, Machine Learning, Supervised Learning, Unsupervised Learning, Predictive Modeling, Regression Analysis, Natural Language Processing
您将获得的技能: Apache Airflow, Docker (Software), Git (Version Control System), Data Pipelines, Containerization, CI/CD, Debugging, Ansible, Continuous Deployment, Database Management, Performance Tuning, Infrastructure as Code (IaC), Continuous Integration, Workflow Management, DevOps, SQL, Automation, Configuration Management, Root Cause Analysis, Python Programming
Amazon Web Services
您将获得的技能: Key Performance Indicators (KPIs), Performance Measurement, Performance Metric, Business Metrics, Amazon Web Services, Return On Investment, Organizational Effectiveness, Cloud Platforms, Operating Cost
总之，以下是 10 最受欢迎的 mlops 课程
- Vertex AI でノートブックを使用する: Google Cloud
- Building Trustworthy AI:
- Managing AI Projects That Ship and Scale:
- Maestría en Inteligencia Analítica de Datos: Universidad de los Andes
- 数据运营方法: IBM
- Cloud FinOps: Board Infinity
- Fundamentals of Cloud FinOps: Board Infinity
- Open Source LLMOps 解决方案: Duke University
- ML Algorithms: Whizlabs
- Orchestrate, Analyze, and Evaluate ML Pipelines: Coursera
