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  • Databricks Mlops

Results for "databricks+mlops"


  • G

    Google Cloud

    MLOps with Vertex AI: Manage Features - 日本語版

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Data Modeling, Data Store, Feature Engineering, Applied Machine Learning, Machine Learning Methods, AI Workflows, Data Storage, Data Management, Data Processing

    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 Store, Model Deployment, Data Processing, Data Modeling, Data Management, Data Storage, Data Import/Export

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Test & Debug Java ML Pipelines

    Skills you'll gain: JUnit, MLOps (Machine Learning Operations), CI/CD, Continuous Integration, Jenkins, Test Automation, Unit Testing, DevOps, Development Testing, Debugging, Code Coverage, Test Engineering, Data Pipelines

    Advanced · Course · 1 - 4 Weeks

  • I

    IBM

    Scalable Machine Learning on Big Data using Apache Spark

    Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage Technologies, Statistical Machine Learning, Data Preprocessing, Data Storage, Data Pipelines, Machine Learning Algorithms, Machine Learning, Data Processing, Data Science, Model Evaluation, Descriptive Statistics

    3.8
    Rating, 3.8 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Parse & Normalize Data for ML Pipelines

    Skills you'll gain: Data Preprocessing, Data Pipelines, Java Programming, Java, Data Processing, Feature Engineering, Data Import/Export, Data Cleansing, Data Quality, Model Training, Data Transformation, Data Validation, Data Integrity, Data Access, Continuous Monitoring, Apache Maven, Object Oriented Programming (OOP)

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - 한국어

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Training, Application Lifecycle Management, DevOps, Continuous Deployment, Cloud Deployment, Machine Learning Methods, CI/CD, AI Workflows, Automation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started - Français

    Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Model Deployment, Application Lifecycle Management, Model Training, DevOps, Applied Machine Learning, Cloud Deployment, AI Workflows, Devops Tools, Automation, CI/CD

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    MLOps with Vertex AI: Manage Features - 한국어

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Feature Engineering, Google Cloud Platform, Model Training, AI Workflows, Data Store, Metadata Management, Data Processing, Data Modeling, Data Management, Data Quality, Data Storage

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Microsoft

    MLOps and responsible AI practices

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Azure DevOps Pipelines, Azure DevOps, Generative AI, Microsoft Azure, Model Deployment, AI Workflows, Model Training, CI/CD, Version Control, Data Ethics, Model Evaluation, Continuous Integration, Git (Version Control System), Automation, Application Performance Management, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: Machine Learning & MLOps Foundations

    Skills you'll gain: MLOps (Machine Learning Operations), Data Preprocessing, AWS SageMaker, Model Evaluation, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Model Training, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Processing, Machine Learning, Supervised Learning, Machine Learning Algorithms, Unsupervised Learning, Classification Algorithms

    4.3
    Rating, 4.3 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Choose Optimal Data Structures for ML

    Skills you'll gain: Data Structures, Feature Engineering, MLOps (Machine Learning Operations), Java Programming, Java, Performance Tuning, Data Processing, Applied Machine Learning, System Monitoring, Scalability, Performance Analysis, Memory Management, Benchmarking, Graph Theory, Program Implementation

    Advanced · Course · 1 - 4 Weeks

  • 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), Model Deployment, Data Ethics, Jenkins, AI Security, Applied Machine Learning, CI/CD, Java, Continuous Deployment, Java Programming, Federated Learning, Artificial Intelligence, Machine Learning, Spring Framework, Reinforcement Learning, Spring Boot, Enterprise Application Management

    Intermediate · Course · 1 - 4 Weeks

1…6789

In summary, here are 10 of our most popular databricks+mlops courses

  • MLOps with Vertex AI: Manage Features - 日本語版: Google Cloud
  • MLOps with Vertex AI: Manage Features - Español: Google Cloud
  • Test & Debug Java ML Pipelines: Coursera
  • Scalable Machine Learning on Big Data using Apache Spark: IBM
  • Parse & Normalize Data for ML Pipelines: Coursera
  • Machine Learning Operations (MLOps): Getting Started - 한국어: Google Cloud
  • Machine Learning Operations (MLOps): Getting Started - Français: Google Cloud
  • MLOps with Vertex AI: Manage Features - 한국어: Google Cloud
  • MLOps and responsible AI practices: Microsoft
  • AWS: Machine Learning & MLOps Foundations: Whizlabs

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