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。

您将获得的技能: Data Governance, General Data Protection Regulation (GDPR), Data Management, Data Strategy, Metadata Management, Data Architecture, Compliance Management, Data Storage Technologies, Data Integration, Data Maintenance, Data Processing, Data Storage, MLOps (Machine Learning Operations), Data Quality, Extract, Transform, Load, Regulatory Requirements, Data Preprocessing, Scalability, Data Validation, Expense Management
中级 · 课程 · 1-4 周

Duke University
您将获得的技能: 模型评估, 以人为本的设计, 项目管理生命周期, 无监督学习, 用户体验设计, 人机交互, 负责任的人工智能, 项目管理, 产品管理, 数据预处理, 数据质量, 分类与回归树 (CART), 深度学习, 模型部署, MLOps(机器学习 Operator), 产品设计, 数据管理, 数据伦理, 数据科学, 机器学习
初级 · 专项课程 · 3-6 个月

您将获得的技能: Infrastructure as Code (IaC), Scripting, Cloud Deployment, Data Persistence, Python Programming, Command-Line Interface, Virtual Machines, Data Pipelines
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: Model Deployment, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Reinforcement Learning, Transfer Learning, Computer Vision, Systems Design, Applied Machine Learning, Machine Learning Methods, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Hybrid Cloud Computing, Systems Architecture, Performance Tuning, Embeddings
高级设置 · 专项课程 · 3-6 个月

您将获得的技能: Threat Modeling, AI Security, DevSecOps, Security Testing, Continuous Monitoring, CI/CD, Threat Detection, Secure Coding, MITRE ATT&CK Framework, DevOps, System Monitoring, Application Security, Continuous Integration, MLOps (Machine Learning Operations), Scripting, Unit Testing, Test Case, Prompt Engineering, Integration Testing
中级 · 课程 · 1-4 周
初级 · 专项课程

Coursera
您将获得的技能: MLOps (Machine Learning Operations), Application Performance Management, System Monitoring, Model Deployment, Continuous Monitoring, Performance Tuning, Process Optimization, Anomaly Detection, Artificial Intelligence and Machine Learning (AI/ML), Data Mapping, Root Cause Analysis, Performance Metric, Performance Analysis
初级 · 课程 · 1-4 周

您将获得的技能: Sample Size Determination, Data Strategy, Analytical Skills, Data-Driven Decision-Making, Data Analysis, Analytics, Jupyter, Data Science, Statistical Analysis, Data Collection, Data Mining, Data Management, MLOps (Machine Learning Operations), Research and Design, Version Control, Software Documentation
中级 · 课程 · 1-4 周

Google Cloud
您将获得的技能: 张力流, 大数据, 生成式人工智能, 云基础设施, 监督学习, 模型部署, AI 工作流程, 人工智能, MLOps(机器学习 Operator), Prompt Engineering, 机器学习, Google 云端平台
初级 · 课程 · 1-3 个月

DeepLearning.AI
您将获得的技能: 计算机视觉, 数据处理, 模型评估, 张力流, 数据导入/导出, 安卓开发, 数据预处理, iOS 开发, 卷积神经网络, 联合学习, Swift 编程, 模型部署, Javascript, MLOps(机器学习 Operator), 图像分析, 机器学习, 移动开发, 数据管道, 迁移学习, 摘录
中级 · 专项课程 · 3-6 个月

您将获得的技能: Risk Analysis, Risk Management Framework, Decision Making, AI Enablement, Continuous Deployment, Project Management Software, Strategic Decision-Making, Operational Analysis, Release Management, Project Planning, Predictive Modeling, A/B Testing, Business Priorities, Operational Efficiency, Algorithms, Experimentation, Advanced Analytics, Procedure Development, Product Planning, Product Development
中级 · 课程 · 1-4 周

您将获得的技能: System Monitoring, Dashboard, Application Performance Management, Site Reliability Engineering, Continuous Monitoring, Event Monitoring, Performance Metric, Service Level, Generative AI, MLOps (Machine Learning Operations), Service Level Agreement, Distributed Computing, Incident Management, Real Time Data
中级 · 课程 · 1-4 周