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Results for "dataops"


  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Engineering with Rust

    Skills you'll gain: Data Pipelines, Rust (Programming Language), Restful API, Amazon Web Services, Cloud API, Data Structures, Data Processing, Cloud Deployment, Real Time Data, Data Manipulation, System Programming, Cryptography, Encryption, Python Programming, Command-Line Interface, Software Testing

    3.4
    Rating, 3.4 out of 5 stars
    ·
    61 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    DevOps to MLOps Bootcamp– Build & Deploy ML Systems

    Skills you'll gain: Model Deployment, Data Preprocessing, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Put It All Together: Prepare for a Cloud Data Analyst Job

    Skills you'll gain: Responsible AI, Generative AI, Data Ethics, Data Analysis, Google Cloud Platform, Analytical Skills, Professional Development, Data Presentation, Problem Solving, Communication Strategies

    4.7
    Rating, 4.7 out of 5 stars
    ·
    36 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Building Batch Data Pipelines on Google Cloud - 한국어

    Skills you'll gain: Data Pipelines, Dataflow, Apache Airflow, Extract, Transform, Load, Data Quality, Data Lakes, PySpark, Data Warehousing, Google Cloud Platform, Workflow Management, Apache Spark, Data Integration, Apache Hadoop, Big Data, Data Processing, Business Intelligence Software, Data Transformation, Cloud Storage

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Deployment, MLOps, and Generative AI in Azure

    Skills you'll gain: Model Deployment, Large Language Modeling, Cloud Deployment, Data Ethics, CI/CD, Transfer Learning, Model Evaluation, Performance Tuning

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Spark, Hadoop, and Snowflake for Data Engineering

    Skills you'll gain: PySpark, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, Database Architecture and Administration, DevOps, Distributed Computing, Data Transformation, SQL, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    62 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Mining Pipeline

    Skills you'll gain: Data Mining, Data Warehousing, Data Pipelines, Data Preprocessing, Data Modeling, Data Integration, Data Cleansing, Model Evaluation, Data Analysis, Exploratory Data Analysis, Data Manipulation, Data Quality, Applied Machine Learning, Statistical Modeling

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    108 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Data Engineering: Pipelines, ETL, Hadoop

    Skills you'll gain: Data Pipelines, Apache Hadoop, Extract, Transform, Load, Data Transformation, Apache Hive, Big Data, Data Warehousing, Strategic Decision-Making, Apache Spark, Data Integration, Data Processing, Data Management, Data Analysis, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Serverless Computing, Machine Learning, Python Programming

    3.7
    Rating, 3.7 out of 5 stars
    ·
    53 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Tools: MLflow and Hugging Face

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Hugging Face, Containerization, CI/CD, DevOps, Docker (Software), Microsoft Azure, Cloud Computing, Machine Learning Software, Transfer Learning, Model Evaluation, GitHub

    3.7
    Rating, 3.7 out of 5 stars
    ·
    59 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Serverless Data Processing with Dataflow: Develop Pipelines

    Skills you'll gain: Dataflow, Data Pipelines, Data Processing, Real Time Data, File I/O, Data Transformation, Jupyter, Performance Tuning, JSON, SQL

    4
    Rating, 4 out of 5 stars
    ·
    43 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Engineering Data Ecosystems: Pipelines, ETL, Spark

    Skills you'll gain: Extract, Transform, Load, Apache Spark, Data Pipelines, Data Integration, Big Data, Data Processing, Data Warehousing, Data Management, Data Architecture, Database Design, Scalability

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular dataops courses

  • Data Engineering with Rust: Duke University
  • DevOps to MLOps Bootcamp– Build & Deploy ML Systems: Packt
  • Put It All Together: Prepare for a Cloud Data Analyst Job: Google Cloud
  • Building Batch Data Pipelines on Google Cloud - 한국어: Google Cloud
  • Advanced Deployment, MLOps, and Generative AI in Azure: Packt
  • Spark, Hadoop, and Snowflake for Data Engineering: Duke University
  • Data Mining Pipeline: University of Colorado Boulder
  • Data Engineering: Pipelines, ETL, Hadoop: Coursera
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • MLOps Tools: MLflow and Hugging Face: Duke University

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