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Results for "mlops (machine learning operations)"

  • Status: Preview
    Preview
    C

    Coursera Instructor Network

    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

  • G

    Google Cloud

    MLOps with Vertex AI: Manage Features - 한국어

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Feature Engineering, Data Modeling, Data Storage Technologies, Data Management, Data Storage, Data Quality, Data Import/Export

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera Project Network

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Feature Engineering, Data Pipelines, Data Science, Data Analysis, Data Processing, Application Deployment

    4.5
    Rating, 4.5 out of 5 stars
    ·
    813 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    T

    The University of Chicago

    Machine Learning: Concepts and Applications

    Skills you'll gain: Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Statistical Methods, Tensorflow, Feature Engineering, Artificial Neural Networks, Pandas (Python Package)

    3.8
    Rating, 3.8 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera Instructor Network

    Data and Machine Learning for Technical Product Managers

    Skills you'll gain: Technical Communication, Technical Product Management, Program Evaluation, Performance Metric, Data Analysis, Agile Methodology, Project Management, Analytics, Stakeholder Communications, Communication, Data-Driven Decision-Making, Machine Learning, Large Language Modeling, R Programming, Data Visualization

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    MLOps with Vertex AI: Manage Features - Español

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Real-World Applications & Model Deployment in Java

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Jenkins, Applied Machine Learning, CI/CD, Java, Continuous Deployment, Java Programming, Artificial Intelligence, Machine Learning, Spring Framework, Application Deployment, Reinforcement Learning, Spring Boot, Enterprise Application Management, Continuous Monitoring, Enterprise Architecture

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Alberta Machine Intelligence Institute

    Introduction to Applied Machine Learning

    Skills you'll gain: Data Ethics, Applied Machine Learning, Data Processing, Machine Learning, Machine Learning Algorithms, Product Lifecycle Management, Supervised Learning, Business Requirements, Data Quality, Business Analysis, Unsupervised Learning, Artificial Intelligence, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
    ·
    745 reviews

    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

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Applied Machine Learning: Techniques and Applications

    Skills you'll gain: Computer Vision, Machine Learning Algorithms, Image Analysis, Supervised Learning, Applied Machine Learning, Feature Engineering, Data Cleansing, Scikit Learn (Machine Learning Library), Data Transformation, Predictive Modeling, Machine Learning, Data Analysis

    3.7
    Rating, 3.7 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    Azure ML: Designing and Preparing Machine Learning Solutions

    Skills you'll gain: Data Management, Data Pipelines, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

Searches related to mlops (machine learning operations)

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machine learning operations (mlops): getting started - español
machine learning operations (mlops): getting started - français
machine learning operations (mlops): getting started - 한국어
machine learning operations (mlops) with vertex ai: manage features
machine learning operations (mlops) with vertex ai: model evaluation - deutsch
machine learning operations (mlops): getting started - português brasileiro
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In summary, here are 10 of our most popular mlops (machine learning operations) courses

  • Operationalizing ML Models: MLOps for Scalable AI: Coursera Instructor Network
  • MLOps with Vertex AI: Manage Features - 한국어: Google Cloud
  • Machine Learning Pipelines with Azure ML Studio: Coursera Project Network
  • Machine Learning: Concepts and Applications: The University of Chicago
  • Data and Machine Learning for Technical Product Managers: Coursera Instructor Network
  • MLOps with Vertex AI: Manage Features - Español: Google Cloud
  • Real-World Applications & Model Deployment in Java : Board Infinity
  • Introduction to Applied Machine Learning: Alberta Machine Intelligence Institute
  • ML Algorithms: Whizlabs
  • Advanced Methods in Machine Learning Applications: Johns Hopkins University

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