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探索 MLOps 课程目录
- 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
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: 计算机编程, 命令行界面, 云计算, 无服务器计算, 数据管道, Docker (软件), 詹金斯, 亚马逊网络服务, 普罗米修斯(软件), CI/CD, 还原式 API, 开发测试, 生成式人工智能, Devops, 可维护性, 自然语言处理, 集装箱化, 拉斯特(编程语言), 软件测试, 大型语言模型
- 状态:免费试用
Duke University
您将获得的技能: 微软 Azure, 云工程, 机器学习算法, 数据分析, 亚马逊 S3, 无服务器计算, Python 程序设计, MLOps(机器学习 Operator), 数据管道, Machine Learning 方法, 亚马逊网络服务, AWS SageMaker, 探索性数据分析, 云计算解决方案, 机器学习, 人工智能和机器学习(AI/ML), 功能工程, 应用机器学习
- 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: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: 数据管理, MLOps(机器学习 Operator), 数据科学, 无监督学习, 以人为本的设计, 项目管理, 人机交互, 回归分析, 机器学习, 分类与回归树 (CART), 产品管理, 技术管理, 应用机器学习, 用户体验设计, 产品设计, 深度学习, 数据伦理, 数据质量, 人为因素, 负责任的人工智能
- 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: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:免费试用
DeepLearning.AI
您将获得的技能: 计算机视觉, 数据导入/导出, 应用程序部署, 数据转换, MLOps(机器学习 Operator), 数据管道, 移动开发, iOS 开发, 机器学习, 深度学习, Keras(神经网络库), 数据整合, 摘录, Swift 编程, 数据处理, 安卓开发, Javascript, 张力流, 图像分析, 功能工程
- 状态:预览
NVIDIA
您将获得的技能: 人工智能, 云计算, MLOps(机器学习 Operator), 网络基础设施, 人工智能和机器学习(AI/ML), 计算机结构, 机器学习, 信息技术业务, 云基础设施, 基础设施架构, 深度学习, 生成式人工智能, 信息技术基础设施, 数据中心, 硬件架构, 大型语言模型, 数据基础设施
- 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
总之,以下是 10 最受欢迎的 mlops 课程
- Operationalizing ML Models: MLOps for Scalable AI: Coursera Instructor Network
- Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
- Rust 编程: Duke University
- MLOps 平台:亚马逊 SageMaker 和 Azure ML: Duke University
- Machine Learning with Scikit-learn, PyTorch & Hugging Face: Coursera
- Machine Learning on Google Cloud: Google Cloud
- 人工智能产品管理: Duke University
- Machine Learning Operations (MLOps) with Vertex AI: Manage Features: Google Cloud
- Advanced Machine Learning on Google Cloud: Google Cloud
- TensorFlow:数据与部署: DeepLearning.AI