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: Generative AI, Model Evaluation, Supervised Learning, Generative Model Architectures, AWS SageMaker, Recurrent Neural Networks (RNNs), Unsupervised Learning, Data Preprocessing, Large Language Modeling, Time Series Analysis and Forecasting, LLM Application, Applied Machine Learning, Deep Learning, A/B Testing, Transfer Learning, Python Programming, Machine Learning, Data Analysis, AWS CloudFormation, AI Personalization
您将获得的技能: Model Deployment, Applied Machine Learning, Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Cloud Deployment, Feature Engineering, Model Evaluation, Data Science, Data Analysis, Classification Algorithms
状态：预览Whizlabs
您将获得的技能: DevOps, CI/CD, Containerization, Continuous Integration, Cloud Security, Kubernetes, Software Development, Google Cloud Platform, Continuous Delivery, Cloud-Native Computing, Application Deployment, General Networking, System Monitoring, Virtual Networking, Identity and Access Management, Load Balancing, Scalability
状态：免费试用Board Infinity
您将获得的技能: Cloud Management, Dashboard, Resource Utilization, Financial Management, Cost Management, Anomaly Detection, Serverless Computing, Cloud Computing Architecture, Forecasting, Containerization, Organizational Change, Stakeholder Engagement, Generative AI, Case Studies
状态：免费试用Edureka
您将获得的技能: 人工智能, 数据预处理, 张力流, 递归神经网络 (RNN), 文本挖掘, 自然语言处理, 深度学习, 卷积神经网络, 预测建模, 应用机器学习, 监督学习, 机器学习, 数据科学, 分类算法
状态：新状态：免费试用您将获得的技能: Model Context Protocol, AI Workflows, Tool Calling, Anthropic Claude, Real Time Data, Debugging, AI Security, Artificial Intelligence and Machine Learning (AI/ML), Servers, Artificial Intelligence, Middleware, Data Access, Server Side, Generative AI
状态：预览Karlsruhe Institute of Technology
您将获得的技能: 人工智能和机器学习（AI/ML）, 自然语言处理, 深度学习, 统计机器学习, 模型评估, 递归神经网络 (RNN), 人工神经网络, 嵌入, 多种语言, 词汇
状态：免费试用Board Infinity
您将获得的技能: Data Preprocessing, Model Deployment, Apache Mahout, Java, Java Programming, Apache Spark, Classification Algorithms, Applied Machine Learning, Deep Learning, Model Evaluation, Natural Language Processing, Data Cleansing, Machine Learning, Feature Engineering, Regression Analysis
状态：新状态：免费试用您将获得的技能: Data Preprocessing, Data Pipelines, Java, Data Processing, Feature Engineering, Data Cleansing, Data Quality, Data Transformation, Data Validation, Data Access, Continuous Monitoring, Unit Testing, Object Oriented Programming (OOP)
状态：新状态：免费试用您将获得的技能: Retrieval-Augmented Generation, Model Context Protocol, Agentic Workflows, AI Orchestration, Generative AI Agents, Anthropic Claude, Prompt Engineering, Tool Calling, Generative AI, Automation, Scalability, Application Programming Interface (API), Servers, Python Programming
状态：新状态：免费试用您将获得的技能: Cloud-Native Computing, Kubernetes, CI/CD, OpenShift, DevOps, Git (Version Control System), Continuous Deployment, Cloud Applications, Application Deployment, Application Performance Management, YAML
Google Cloud
您将获得的技能: 数据预处理, Google 云端平台, 大数据, 模型评估, 应用机器学习, 预测建模, Apache Spark, 逻辑回归
与 mlops 相关的搜索
总之，以下是 10 最受欢迎的 mlops 课程
- Data Science Beyond the Basics (ML+DS): Coursera
- Machine Learning Pipelines with Azure ML Studio: Coursera
- Google Cloud DevOps Fundamentals: Whizlabs
- Mastering Cloud FinOps: Board Infinity
- 机器学习和 NLP 基础知识: Edureka
- Intro to Model Context Protocol (MCP): Scrimba
- 机器翻译: Karlsruhe Institute of Technology
- Machine Learning with Implementation in Java: Board Infinity
- Parse & Normalize Data for ML Pipelines: Coursera
- Building RAG and MCP Servers with Claude: Edureka
