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: Model Deployment, MLOps (Machine Learning Operations), Continuous Deployment, R Programming, Dashboard, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Docker (Software), Application Programming Interface (API)
中级 · 指导项目 · 不超过 2 小时

Duke University
您将获得的技能: Google 云端平台, MLOps(机器学习 Operator), 自然语言处理, 计算机视觉, 微软 Azure, 云应用, 模型部署, 应用编程接口 (API), 持续交付, 人工智能和机器学习(AI/ML), 机器学习, Flask(网络框架), 应用机器学习
中级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, Responsible AI, Microsoft Azure, MLOps (Machine Learning Operations), Data Management, Cloud Management, Cloud Deployment, Applied Machine Learning, Model Evaluation, Scalability, Data Preprocessing, Machine Learning, Performance Tuning, Feature Engineering, Machine Learning Algorithms
高级设置 · 课程 · 1-4 周

Packt
您将获得的技能: Retrieval-Augmented Generation, Large Language Modeling, Hugging Face, MLOps (Machine Learning Operations), OpenAI, Prompt Engineering, Model Deployment, AWS SageMaker, Extract, Transform, Load, Embeddings, Data Pipelines, CI/CD, Vector Databases, Model Evaluation
初级 · 课程 · 1-3 个月

Google Cloud
您将获得的技能: Model Evaluation, Generative AI, Model Deployment, MLOps (Machine Learning Operations), Google Cloud Platform, Continuous Monitoring, Responsible AI
中级 · 课程 · 1-4 周

您将获得的技能: Model Deployment, Data Management, Data Pipelines, Statistical Modeling
中级 · 课程 · 1-4 周

您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Cloud Management, Application Lifecycle Management, DevOps, Model Evaluation, Cloud Deployment, AI Workflows, Continuous Deployment, Continuous Integration, Automation
中级 · 课程 · 1-4 周

Duke University
您将获得的技能: 项目管理, MLOps(机器学习 Operator), 市场机遇, 项目管理生命周期, 技术管理, 数据质量, 数据清理, 技术解决方案, 数据管道, 系统设计, 模型评估, 数据预处理, 数据科学, 模型部署, 人工智能和机器学习(AI/ML), 数据管理, 应用机器学习, 数据收集, 机器学习, 软件开发方法
初级 · 课程 · 1-3 个月

您将获得的技能: LLM Application, MLOps (Machine Learning Operations), Large Language Modeling, Data Processing, Model Deployment, AI Workflows, Prompt Engineering, Responsible AI, Generative AI, Scalability, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Data Transformation, Continuous Monitoring, Feature Engineering, Natural Language Processing, Artificial Intelligence, Data Collection
高级设置 · 课程 · 1-3 个月

Coursera
您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Anomaly Detection, Model Evaluation, Dashboard, CI/CD, Data Visualization, DevOps, Continuous Monitoring, Data-Driven Decision-Making, Performance Analysis, Key Performance Indicators (KPIs), Statistical Analysis, Performance Tuning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Automation, Agentic systems, Version Control
中级 · 专项课程 · 3-6 个月

Microsoft
您将获得的技能: Generative AI, Generative Model Architectures, Prompt Engineering, Responsible AI, Generative Adversarial Networks (GANs), MLOps (Machine Learning Operations), AI Security, Multimodal Prompts, Data Ethics, AI Workflows, Microsoft Azure, ChatGPT, Azure DevOps Pipelines, AI Orchestration, Azure DevOps, Model Deployment, AI Enablement, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Python Programming
中级 · 专业证书 · 3-6 个月

您将获得的技能: LangChain, LLM Application, Hugging Face, Retrieval-Augmented Generation, OpenAI API, LangGraph, Model Deployment, AI Workflows, Large Language Modeling, AI Orchestration, Generative AI, Generative Model Architectures, CI/CD, Embeddings, Text Mining, Containerization, Restful API, Open Source Technology, Data Preprocessing, Docker (Software)
中级 · 专项课程 · 1-3 个月