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。

Coursera
您将获得的技能: MLOps (Machine Learning Operations), Applied Machine Learning, Model Evaluation, Scikit Learn (Machine Learning Library), Machine Learning, Predictive Modeling, Scenario Testing, Machine Learning Algorithms, Responsible AI, Regression Analysis, Classification And Regression Tree (CART), Case Studies, Continuous Monitoring, Performance Metric
中级 · 课程 · 1-4 周

您将获得的技能: MLOps (Machine Learning Operations), Model Evaluation, Key Performance Indicators (KPIs), Business Metrics, Performance Analysis, Performance Measurement, Responsible AI, Test Execution Engine, Performance Metric, Test Automation, Feature Engineering, Verification And Validation, Content Performance Analysis, Machine Learning, Data Ethics, Quality Assessment, Gap Analysis, Cost Benefit Analysis, Research Design, Quantitative Research
中级 · 课程 · 1-4 周
您将获得的技能: Model Deployment, LLM Application, Large Language Modeling, System Monitoring, Scalability, Hugging Face, Cloud Deployment, Performance Tuning, MLOps (Machine Learning Operations), Prompt Engineering, Transfer Learning, AI Security, Applied Machine Learning, Application Security, Artificial Intelligence, API Design, Model Evaluation
中级 · 课程 · 1-4 周

您将获得的技能: Retrieval-Augmented Generation, Model Deployment, Kubernetes, Containerization, LLM Application, Application Deployment, Large Language Modeling, Release Management, MLOps (Machine Learning Operations), Cloud Deployment, Configuration Management, Continuous Delivery, Scalability, Application Performance Management, Performance Tuning, Performance Analysis, Infrastructure as Code (IaC), Performance Testing, Systems Analysis, Analysis
中级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Large Language Modeling, Version Control
中级 · 课程 · 1-4 周

Microsoft
您将获得的技能: 微软 Azure, 计算机视觉, 无监督学习, 自然语言处理, 人工智能和机器学习(AI/ML), 负责任的人工智能, 应用机器学习, 异常检测, MLOps(机器学习 Operator), AI 工作流程, 模型部署, 数据伦理, 预测建模, 无代码开发, 人工智能, 图像分析, 回归分析, AI 赋能, 机器学习, 分类算法
初级 · 专项课程 · 3-6 个月

您将获得的技能: AI Orchestration, Model Deployment, AI Workflows, Agentic Workflows, Generative AI Agents, Agentic systems, AI Security, Artificial Intelligence, Prompt Engineering, Generative AI, Product Support, OpenAI API, Retrieval-Augmented Generation
高级设置 · 课程 · 1-4 周

Board Infinity
您将获得的技能: Hugging Face, Model Evaluation, Embeddings, Transfer Learning, Recurrent Neural Networks (RNNs), Model Deployment, Data Preprocessing, Performance Tuning
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

NVIDIA
您将获得的技能: 数据基础设施, 生成式人工智能, Devops 工具, 大型语言模型, 云基础设施, 信息技术基础设施, 计算机结构, 人工智能和机器学习(AI/ML), 硬件架构, 云计算, 信息技术业务, MLOps(机器学习 Operator), 数据中心, 深度学习, 模型部署, 人工智能, 网络基础设施, 机器学习, AI 协调, 基础设施架构
初级 · 课程 · 1-4 周

Microsoft
您将获得的技能: Model Deployment, Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Cloud Deployment, Artificial Intelligence, Data Security, Application Frameworks, Machine Learning, Data Preprocessing, Data Pipelines, Scalability
中级 · 课程 · 1-3 个月

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