筛选依据
主题必需的
语言必需的
在整个课程(说明和评估)中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
字幕必需的
教师必需的
探索 MLOps 课程目录
- 状态:免费试用
Duke University
您将获得的技能: 数据管道, 云计算, 命令行界面, 大型语言模型, 詹金斯, Docker (软件), CI/CD, 亚马逊网络服务, 普罗米修斯(软件), 计算机编程, 还原式 API, Devops, 无服务器计算, 开发测试, 集装箱化, 可维护性, 自然语言处理, 软件测试, 生成式人工智能, 拉斯特(编程语言)
- 状态:免费试用
您将获得的技能: Feature Engineering, MLOps (Machine Learning Operations), Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), Apache Airflow, Cloud Infrastructure, CI/CD, Data Pipelines, Systems Design, Cloud Platforms, Data Management, Data Governance, Hybrid Cloud Computing, Workflow Management, Artificial Intelligence, Machine Learning, Cloud Computing
- 状态:免费试用
Duke University
您将获得的技能: 机器学习, 数据管理, 无监督学习, MLOps(机器学习 Operator), 用户体验设计, 负责任的人工智能, 数据伦理, 回归分析, 以人为本的设计, 数据质量, 人机交互, 分类与回归树 (CART), 数据科学, 技术管理, 产品管理, 项目管理, 应用机器学习, 人为因素, 产品设计, 深度学习
- 状态:预览
Coursera Instructor Network
您将获得的技能: MLOps (Machine Learning Operations), CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Containerization, Scalability, Continuous Integration, DevOps, Data Infrastructure, IT Infrastructure, Infrastructure Architecture, Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Continuous Monitoring, Real Time Data, Version Control
- 状态:免费试用
Google Cloud
您将获得的技能: Feature Engineering, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), MLOps (Machine Learning Operations), Cloud Infrastructure, Data Pipelines, Cloud Platforms, Data Management, Data Governance, Workflow Management, Artificial Intelligence, Deep Learning, Applied Machine Learning, Machine Learning, Cloud Computing, Data Processing, Artificial Neural Networks
- 状态:免费试用
Duke University
您将获得的技能: 数据管道, 机器学习, 探索性数据分析, 数据分析, MLOps(机器学习 Operator), 亚马逊 S3, 亚马逊网络服务, 云工程, 机器学习算法, 云计算解决方案, AWS SageMaker, 人工智能和机器学习(AI/ML), Python 程序设计, 功能工程, 无服务器计算, 应用机器学习, 微软 Azure, Machine Learning 方法
- 状态:免费试用
Google Cloud
您将获得的技能: Natural Language Processing, MLOps (Machine Learning Operations), Tensorflow, Large Language Modeling, Reinforcement Learning, Computer Vision, Google Cloud Platform, Keras (Neural Network Library), Systems Design, Image Analysis, AI Personalization, Hybrid Cloud Computing, Applied Machine Learning, Systems Architecture, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms
- 状态:预览
您将获得的技能: MLOps (Machine Learning Operations), Data Modeling, Google Cloud Platform, Feature Engineering, Application Deployment, DevOps, Data Processing, Data Management, Data Storage
- 状态:新状态:免费试用
您将获得的技能: Generative AI, Supervised Learning, Generative Model Architectures, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Machine Learning Algorithms, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, Multimodal Prompts, Data Processing, Network Architecture
- 状态:预览
NVIDIA
您将获得的技能: 大型语言模型, 机器学习, MLOps(机器学习 Operator), 人工智能, 云计算, 张力流, 网络基础设施, 信息技术基础设施, 信息技术业务, 人工神经网络, 数据中心, 云基础设施, 硬件架构, 生成式人工智能, 数据基础设施, 基础设施架构, 计算机结构, PyTorch(机器学习库), 深度学习
- 状态:免费试用
您将获得的技能: Big Data, Apache Hadoop, Serverless Computing, Applied Machine Learning, Apache Spark, Looker (Software), Cloud Computing, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Jupyter, SQL, Data Transformation, Artificial Intelligence, Scalability, Performance Tuning
- 状态:预览
您将获得的技能: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Application Lifecycle Management, Continuous Deployment, Application Deployment, Machine Learning, Applied Machine Learning, Continuous Integration, Automation, Data Management
总之,以下是 10 最受欢迎的 mlops 课程
- Rust 编程: Duke University
- Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
- 人工智能产品管理: Duke University
- Operationalizing ML Models: MLOps for Scalable AI: Coursera Instructor Network
- Machine Learning on Google Cloud: Google Cloud
- MLOps 平台:亚马逊 SageMaker 和 Azure ML: Duke University
- Advanced Machine Learning on Google Cloud: Google Cloud
- Machine Learning Operations (MLOps) with Vertex AI: Manage Features: Google Cloud
- Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
- AI 基础设施和 Operator 基础知识: NVIDIA