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Results for "dataops"


  • G

    Google Cloud

    Machine Learning Operations (MLOps): Getting Started

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Evaluation, DevOps, Cloud Deployment, Continuous Deployment, Machine Learning, Continuous Integration, Automation, Data Pipelines

    4
    Rating, 4 out of 5 stars
    ·
    481 reviews

    Intermediate · Course · 1 - 4 Weeks

  • A

    Amazon Web Services

    AWS FinOps - Creating Cloud Business KPIs (Unit Economics)

    Skills you'll gain: Key Performance Indicators (KPIs), Performance Measurement, Performance Metric, Business Metrics, Amazon Web Services, Return On Investment, Organizational Effectiveness, Cloud Platforms, Operating Cost

    4.3
    Rating, 4.3 out of 5 stars
    ·
    31 reviews

    Mixed · Course · 1 - 4 Weeks

  • S

    SkillUp

    Prep for Microsoft Azure Data Engineer Associate Cert DP-203

    Skills you'll gain: Azure Synapse Analytics, Data Security, Databricks, Data Quality, Microsoft Azure, Data Storage Technologies, Data Storage, Data Transformation, Database Management, Data Processing, Data Cleansing, Data Lakes, Query Languages, Performance Tuning, Data Integration, Data Pipelines, Apache Spark, Encryption, Data Analysis, Real Time Data

    4.2
    Rating, 4.2 out of 5 stars
    ·
    17 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to Data Engineering on Google Cloud

    Skills you'll gain: Metadata Management, Data Sharing, Data Pipelines, Extract, Transform, Load, Google Cloud Platform, Data Migration, Data Warehousing, Data Infrastructure, Apache Airflow, Data Processing, Big Data, Data Management, Information Management, Cloud Storage, Apache Spark, Automation

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 3 Months

  • G

    Google Cloud

    Build Batch Data Pipelines on Google Cloud

    Skills you'll gain: Data Warehousing, Data Quality, Data Cleansing, Performance Tuning, Data Validation, Scalability, Database Management, System Monitoring, Serverless Computing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.7K reviews

    Intermediate · Course · 1 - 4 Weeks

  • A

    Amazon Web Services

    DevOps and AI on AWS: AIOps

    Skills you'll gain: Amazon CloudWatch, DevOps, Devops Tools, Code Review, Amazon Web Services, AI Security, Application Performance Management, Artificial Intelligence and Machine Learning (AI/ML), Anomaly Detection, Continuous Monitoring, System Monitoring, Vulnerability Scanning, Predictive Analytics

    5
    Rating, 5 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • I

    IBM

    Data Engineering Career Guide and Interview Preparation

    Skills you'll gain: Professional Networking, Technical Communication, Professional Development, Relationship Building, Data Infrastructure, Data Warehousing, Data Pipelines, Data Processing, Professionalism, Data Storage, Verbal Communication Skills, Communication Strategies, Problem Solving

    4.7
    Rating, 4.7 out of 5 stars
    ·
    98 reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Build Data Lakes and Data Warehouses on Google Cloud

    Skills you'll gain: Data Lakes, Data Warehousing, Data Architecture, Data Governance, Data Infrastructure, Google Cloud Platform, Metadata Management, Cloud Storage, Data Storage, Data Management, Data Integration, Data Storage Technologies, Big Data, Advanced Analytics, Operational Databases, Data Security

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.9K reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Pearson

    Learn MLOps for Machine Learning

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, AWS SageMaker, CI/CD, Data Management, Cloud Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Automation, Data Pipelines, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Python Essentials for MLOps

    Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Model Deployment, Data Manipulation, Software Testing, Data Import/Export, Test Automation, Python Programming, Debugging, Data Structures, Machine Learning, Object Oriented Programming (OOP), Scripting, Numerical Analysis, Application Programming Interface (API), Command-Line Interface

    4.2
    Rating, 4.2 out of 5 stars
    ·
    354 reviews

    Intermediate · Course · 1 - 3 Months

  • 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
    ·
    479 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Advanced Data Engineering

    Skills you'll gain: Performance Analysis, Apache Airflow, Workflow Management, Vector Databases, Scalability, Database Management Systems, Database Management, Data Pipelines, Data Architecture, Real Time Data, MySQL, Complex Problem Solving, Data Import/Export, Data Transformation, Graph Theory

    4.2
    Rating, 4.2 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 4 Weeks

1…456…9

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

  • Machine Learning Operations (MLOps): Getting Started: Google Cloud
  • AWS FinOps - Creating Cloud Business KPIs (Unit Economics): Amazon Web Services
  • Prep for Microsoft Azure Data Engineer Associate Cert DP-203: SkillUp
  • Introduction to Data Engineering on Google Cloud: Google Cloud
  • Build Batch Data Pipelines on Google Cloud: Google Cloud
  • DevOps and AI on AWS: AIOps: Amazon Web Services
  • Data Engineering Career Guide and Interview Preparation: IBM
  • Build Data Lakes and Data Warehouses on Google Cloud: Google Cloud
  • Learn MLOps for Machine Learning: Pearson
  • Python Essentials for MLOps: Duke University

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