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  • Mlops

MLOps 课程

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。


热门 MLOps 课程和认证


  • C

    Coursera

    Optimize Java Memory for ML Performance

    您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Containerization, Performance Tuning, Docker (Software), Java, Application Performance Management, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Data Structures

    高级设置 · 课程 · 1-4 周

  • P

    Packt

    Generative AI Application Integration Patterns

    您将获得的技能: Responsible AI, Generative AI, Generative Model Architectures, LLM Application, Prompt Engineering, ChatGPT, AI Enablement, AI Security, Cloud Development, AI Workflows, Data Ethics, Real Time Data, Large Language Modeling, Model Deployment, Cloud Computing Architecture, Artificial Intelligence, MLOps (Machine Learning Operations), Deep Learning, Scalability, System Monitoring

    初级 · 课程 · 1-3 个月

  • P

    Packt

    Data Science Model Deployments and Cloud Computing on GCP

    您将获得的技能: Docker (Software), CI/CD, Model Deployment, Cloud Deployment, Cloud Development, Application Performance Management, Google App Engine

    中级 · 课程 · 1-3 个月

  • G

    Google Cloud

    Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어

    您将获得的技能: Tensorflow, Model Deployment, Keras (Neural Network Library), Google Cloud Platform, Cloud Deployment, Deep Learning, MLOps (Machine Learning Operations), Data Preprocessing, Machine Learning Methods, Artificial Neural Networks, Data Pipelines, Application Programming Interface (API)

    中级 · 课程 · 1-3 个月

  • C

    Coursera

    Orchestrate, Evaluate, and Release GenAI Systems

    您将获得的技能: Model Deployment, MLOps (Machine Learning Operations), AI Orchestration, Dependency Analysis, Application Deployment, Continuous Deployment, Generative AI, Release Management, Regression Testing, Cloud Deployment, Verification And Validation, Site Reliability Engineering, CI/CD, Model Evaluation, Continuous Delivery, Data-Driven Decision-Making, Application Performance Management, Software Technical Review, Kubernetes, System Requirements

    中级 · 课程 · 1-4 周

  • P

    Packt

    The Ultimate Guide to Snowpark

    您将获得的技能: Snowflake Schema, Model Deployment, Data Pipelines, Pandas (Python Package), Data Import/Export, Data Transformation, Large Language Modeling, Data Processing, Containerization, Python Programming, MLOps (Machine Learning Operations), Application Deployment, Application Development, Data Science, Cloud Computing, SQL, Data Analysis, Machine Learning

    中级 · 课程 · 1-3 个月

  • H

    H2O.ai

    H2O Cloud AI Developer Services

    您将获得的技能: AI Enablement, Cloud Development, Large Language Modeling, Image Analysis, AI Workflows, Feature Engineering, Cloud Services, Applied Machine Learning, Computer Vision, MLOps (Machine Learning Operations), Artificial Intelligence, Transfer Learning, Model Deployment, Generative AI, Natural Language Processing, Data Integration

    中级 · 课程 · 1-3 个月

  • G

    Google Cloud

    生成 AI: 現在の状況を知る

    您将获得的技能: Google Gemini, Responsible AI, Gemini, Google Cloud Platform, Generative AI, AI Enablement, Cloud Management, Cloud Infrastructure, Cloud Solutions, Model Deployment, Artificial Intelligence, MLOps (Machine Learning Operations), Innovation

    初级 · 课程 · 1-3 个月

  • G

    Google Cloud

    Utiliser des notebooks dans Vertex AI

    您将获得的技能: Jupyter, MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, AI Workflows, Data Preprocessing, Computing Platforms

    初级 · 课程 · 1-4 周

  • C

    Coursera

    AppDynamics Monitoring

    您将获得的技能: MLOps (Machine Learning Operations), Application Performance Management, System Monitoring, Model Deployment, Model Evaluation, Continuous Monitoring, Performance Tuning, Process Optimization, Anomaly Detection, Artificial Intelligence and Machine Learning (AI/ML), Root Cause Analysis, Performance Metric, Performance Analysis

    初级 · 课程 · 1-4 周

  • G

    Google Cloud

    Trabalhar com Notebooks na Vertex AI

    您将获得的技能: Jupyter, Google Cloud Platform, MLOps (Machine Learning Operations), Model Deployment, Development Environment, Exploratory Data Analysis

    初级 · 课程 · 1-4 周

  • G

    Google Cloud

    프로덕션 머신러닝 시스템

    您将获得的技能: MLOps (Machine Learning Operations), Model Deployment, Systems Design, Tensorflow, Model Evaluation, Applied Machine Learning, Machine Learning, Hybrid Cloud Computing, Performance Tuning, Google Cloud Platform, Distributed Computing, Scalability, Data Pipelines, Debugging, Data Validation

    高级设置 · 课程 · 1-3 个月

1…323334…35

总之,以下是 10 最受欢迎的 mlops 课程

  • Optimize Java Memory for ML Performance: Coursera
  • Generative AI Application Integration Patterns: Packt
  • Data Science Model Deployments and Cloud Computing on GCP: Packt
  • Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어: Google Cloud
  • Orchestrate, Evaluate, and Release GenAI Systems: Coursera
  • The Ultimate Guide to Snowpark: Packt
  • H2O Cloud AI Developer Services: H2O.ai
  • 生成 AI: 現在の状況を知る: Google Cloud
  • Utiliser des notebooks dans Vertex AI: Google Cloud
  • AppDynamics Monitoring: Coursera

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