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Results for "dataops"


  • D

    DeepLearning.AI

    Introduction to Data Engineering

    Skills you'll gain: Data Pipelines, Data Architecture, Requirements Analysis, Amazon Web Services, Data Warehousing, Database Design, Amazon Redshift, AWS Kinesis, Data Processing, System Requirements, Performance Tuning, Security Controls, Cloud Computing, Scalability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    480 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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

    4.4
    Rating, 4.4 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Management with Databricks: Big Data with Delta Lakes

    Skills you'll gain: Databricks, Data Lakes, Data Pipelines, Data Integration, Dashboard, PySpark, SQL, Apache Spark, Data Management, Data Transformation, Version Control

    4.1
    Rating, 4.1 out of 5 stars
    ·
    32 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • 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

    3.5
    Rating, 3.5 out of 5 stars
    ·
    56 reviews

    Advanced · Course · 1 - 3 Months

  • P

    Packt

    Introduction to Data Engineering on AWS

    Skills you'll gain: Data Integration, Performance Tuning, Serverless Computing, Database Architecture and Administration, Data Quality, Data Transformation

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Orchestrating Data Pipelines and Advanced Data Strategies

    Skills you'll gain: Cloud Computing Architecture, Amazon Elastic Compute Cloud, Data Visualization Software, Cloud Storage, Dashboard, Scalability, Data Strategy, Data Integration, Real Time Data, Data Storage

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Cloud Machine Learning Engineering and MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Continuous Delivery, Applied Machine Learning, Google Cloud Platform, Model Deployment, Cloud Applications, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Microsoft Azure, Computer Vision, Application Programming Interface (API), Natural Language Processing, Flask (Web Framework)

    4.5
    Rating, 4.5 out of 5 stars
    ·
    90 reviews

    Intermediate · Course · 1 - 4 Weeks

  • E

    Edureka

    Introduction to Analytics Engineering

    Skills you'll gain: SQL, Star Schema, Data Modeling, Data Quality, Data Pipelines, Database Design, Data Mart, Data Validation, Extract, Transform, Load, Data Analysis, Data Warehousing, Data Transformation, Data Management, Version Control

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Serverless Data Processing with Dataflow: Operations

    Skills you'll gain: Dataflow, Data Pipelines, Data Integrity, Performance Tuning, CI/CD, Data Processing, Debugging, System Monitoring, Data Transformation, Unit Testing, Disaster Recovery

    3.5
    Rating, 3.5 out of 5 stars
    ·
    20 reviews

    Advanced · Course · 1 - 3 Months

  • G

    Google Cloud

    Serverless Data Processing with Dataflow: Develop Pipelines em Português Brasileiro

    Skills you'll gain: Dataflow, Data Pipelines, Apache Kafka, Real Time Data, Data Processing, Google Cloud Platform, Data Transformation, JSON, SQL, Data Storage Technologies, Analytics

    Advanced · Course · 1 - 3 Months

  • 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

  • G

    Google Cloud

    MLOps with Vertex AI: Manage Features - 한국어

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

    Intermediate · Course · 1 - 4 Weeks

1…6789

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

  • Introduction to Data Engineering: DeepLearning.AI
  • Engineering Data Ecosystems: Pipelines, ETL, Spark: Coursera
  • Data Management with Databricks: Big Data with Delta Lakes: Coursera
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • Introduction to Data Engineering on AWS: Packt
  • Orchestrating Data Pipelines and Advanced Data Strategies: Packt
  • Cloud Machine Learning Engineering and MLOps: Duke University
  • Introduction to Analytics Engineering: Edureka
  • Serverless Data Processing with Dataflow: Operations: Google Cloud
  • Serverless Data Processing with Dataflow: Develop Pipelines em Português Brasileiro: Google Cloud

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