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  • Mlops(机器学习 Operator)

Results for "mlops(机器学习 operator)"


  • Status: Preview
    Preview
    C

    Coursera

    Operationalizing ML Models: MLOps for Scalable AI

    Skills you'll gain: 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

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
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    Pearson

    Learn MLOps for Machine Learning

    Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, CI/CD, DevOps, Data Processing, Data Management, Machine Learning, Predictive Modeling, Automation, Data Pipelines, Applied Machine Learning, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    Google Cloud

    Data Engineering, Big Data, and Machine Learning on GCP

    Skills you'll gain: Feature Engineering, PySpark, Data Import/Export, Apache Spark, Apache Kafka, Apache Hadoop, Dashboard, Data Governance, Cloud Services, Metadata Management, Data Management, Applied Machine Learning, Apache Hive, Application Programming Interface (API), Jupyter, Data Quality, Big Data, Data Transformation, Looker (Software), Scalability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
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    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Cloud Engineering, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Amazon S3, Machine Learning, Machine Learning Algorithms, Python Programming

    3.7
    Rating, 3.7 out of 5 stars
    ·
    52 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
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    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - Español

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Cloud Management, Application Lifecycle Management, DevOps, Applied Machine Learning, Continuous Deployment, Application Deployment, Automation, Data Processing, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Machine Learning in Production

    Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Continuous Monitoring, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free
    Free
    A

    Amazon Web Services

    Developing Machine Learning Solutions

    Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Amazon Web Services, Machine Learning, Applied Machine Learning, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
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    95 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    Google Cloud

    Machine Learning Operations (MLOps) with Vertex AI: Manage Features

    Skills you'll gain: MLOps (Machine Learning Operations), Data Modeling, Google Cloud Platform, Feature Engineering, Application Deployment, DevOps, Data Processing, Data Management, Data Storage

    4.2
    Rating, 4.2 out of 5 stars
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    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow Google Cloud 日本語版

    Skills you'll gain: Feature Engineering, Tensorflow, Google Cloud Platform, Data Quality, Data Cleansing, Scikit Learn (Machine Learning Library), Keras (Neural Network Library), Machine Learning, Exploratory Data Analysis, Supervised Learning, MLOps (Machine Learning Operations), Data Transformation, Data Pipelines, Jupyter, Big Data, Artificial Neural Networks, Responsible AI, Data Processing, No-Code Development, Applied Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
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    152 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    Nanjing University

    心理学与生活

    Skills you'll gain: Child Development, Psychology, Culture, Human Development, Social Sciences, Human Learning, Personal Development, Self-Awareness, Cultural Diversity, Emotional Intelligence, Motivational Skills, Creativity, Social Skills, Cognitive flexibility, Behavior Management, Empathy, Stress Management

    4.8
    Rating, 4.8 out of 5 stars
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    886 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
    Preview
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    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - 日本語版

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, DevOps, Applied Machine Learning, CI/CD, Continuous Deployment, Automation, Data Management, Continuous Monitoring, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    ML Algorithms

    Skills you'll gain: Machine Learning Algorithms, Image Analysis, Reinforcement Learning, Forecasting, Algorithms, AWS SageMaker, Machine Learning, Text Mining, Time Series Analysis and Forecasting, Supervised Learning, Unsupervised Learning, Regression Analysis, Classification And Regression Tree (CART)

    3.4
    Rating, 3.4 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular mlops(机器学习 operator) courses

  • Operationalizing ML Models: MLOps for Scalable AI: Coursera
  • Learn MLOps for Machine Learning: Pearson
  • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • Machine Learning Operations (MLOps): Getting Started - Español: Google Cloud
  • Machine Learning in Production: DeepLearning.AI
  • Developing Machine Learning Solutions: Amazon Web Services
  • Machine Learning Operations (MLOps) with Vertex AI: Manage Features: Google Cloud
  • Machine Learning with TensorFlow Google Cloud 日本語版: Google Cloud
  • 心理学与生活: Nanjing University

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