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。

Pearson
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, DevOps, Data Processing, Model Training, Data Collection, Data Management, Cloud Deployment, Model Evaluation, Machine Learning Methods, Automation, Data Pipelines, Feature Engineering, Continuous Monitoring
中级 · 课程 · 1-4 周

您将获得的技能: Model Optimization, Generative Model Architectures, Model Deployment, Azure DevOps Pipelines, Large Language Modeling, Model Training, Cloud Deployment, CI/CD, Fine-tuning
高级设置 · 课程 · 1-4 周

Duke University
您将获得的技能: 测试脚本开发, 数据处理, 脚本, NumPy, 数据操作, 数据整理, 机器学习, 数据导入/导出, 代码重用性, 调试, 模型部署, 单元测试, Pandas(Python 软件包), Python 编程, 测试自动化, 数据结构, 面向对象编程(OOP), MLOps(机器学习运营), 软件测试, 应用机器学习
中级 · 课程 · 1-3 个月

Pragmatic AI Labs
您将获得的技能: Databricks, MLOps (Machine Learning Operations), Role-Based Access Control (RBAC), Data Lakes, Data Governance, CI/CD, Authorization (Computing), Anomaly Detection, Identity and Access Management, Model Deployment, Generative AI, Data Access, Metadata Management, Data Engineering, Data Quality, GitHub, Event Monitoring, Test Tools, Authentications, Python Programming
中级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, Application Deployment, Data Preprocessing, Devops Tools, Model Training, Machine Learning Software, Data Processing, Model Optimization, Model Evaluation
中级 · 课程 · 1-3 个月

Duke University
您将获得的技能: 模型培训, 微调, 集装箱化, Microsoft Azure, 持续部署, Docker (软件), 云计算, 迁移学习, 模型部署, 微软 Azure, 拥抱的脸, Transfer Learning, MLOps(机器学习运营), 机器学习软件, GitHub, 云部署, CI/CD
高级设置 · 课程 · 1-4 周

您将获得的技能: MLOps (Machine Learning Operations), Data Preprocessing, AWS SageMaker, Model Evaluation, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Model Training, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Processing, Machine Learning, Supervised Learning, Machine Learning Algorithms, Unsupervised Learning, Classification Algorithms
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: 模型培训, 数据处理, 数据管理, Google Cloud 平台, 数据建模, Data Management, 功能工程, 数据存储, 模型部署, 数据存储技术, MLOps(机器学习运营), 数据预处理
中级 · 课程 · 1-4 周

Microsoft
您将获得的技能: Responsible AI, MLOps (Machine Learning Operations), Azure DevOps Pipelines, Azure DevOps, Generative AI, Microsoft Azure, Model Deployment, AI Workflows, Model Training, CI/CD, Version Control, Data Ethics, Artificial Intelligence, Model Evaluation, Continuous Integration, Git (Version Control System), Automation, Application Performance Management, Continuous Monitoring
中级 · 课程 · 1-4 周

Duke University
您将获得的技能: 集装箱化, 计算机编程, 无服务器计算, Docker (软件), 云计算, 持续集成, 自然语言处理, 拉斯特(编程语言), DevOps, 法学硕士申请, 詹金斯, 拥抱的脸, 恢复性应用程序接口, 大型语言建模, 命令行界面, 单元测试, 测试案例, 数据管道, 应用程序部署, CI/CD
初级 · 专项课程 · 3-6 个月
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Model Training, Containerization, AI Workflows, Model Optimization, Scalability, Devops Tools, DevOps, Continuous Monitoring
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: MLOps (Machine Learning Operations), AI Orchestration, AI Workflows, Data Pipelines, Model Deployment, Agentic Workflows, Generative AI Agents, Google Cloud Platform, Forecasting, Model Training, Agentic systems, Prompt Engineering, Automation
中级 · 课程 · 1-3 个月