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  • Hybrid Cloud Computing Machine Learning

Results for "hybrid cloud computing machine learning"


  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineering, Big Data, and Machine Learning on GCP

    Skills you'll gain: Feature Engineering, PySpark, Data Import/Export, Apache Spark, Apache Kafka, Apache Hadoop, Dashboard, Data Governance, Cloud Services, Metadata Management, Data Management, Applied Machine Learning, Apache Hive, Application Programming Interface (API), Jupyter, Data Quality, Big Data, Data Transformation, Looker (Software), Scalability

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.4K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Enterprise Model Deployment

    Skills you'll gain: Apache Spark, Data Pipelines, MLOps (Machine Learning Operations), PySpark, Application Deployment, IBM Cloud, Machine Learning, Containerization, Data Science, Python Programming, Performance Tuning, Scalability

    4.3
    Rating, 4.3 out of 5 stars
    ·
    59 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs

    Skills you'll gain: Data Warehousing, Google Cloud Platform, Big Data, Apache Spark, Database Management, Data Integration, Dataflow, SQL, Data Pipelines, Metadata Management, Data Management, Real Time Data, Tensorflow, Data Science, Command-Line Interface, Applied Machine Learning, Cloud-Based Integration, Apache Hadoop, Query Languages, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    125 reviews

    Intermediate · Specialization · 1 - 3 Months

  • I

    IBM

    Scalable Machine Learning on Big Data using Apache Spark

    Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Data Storage Technologies, Statistical Machine Learning, Data Pipelines, Machine Learning Algorithms, Machine Learning, Data Processing, Data Science, Statistical Analysis

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

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Machine Learning in the Enterprise - 日本語版

    Skills you'll gain: MLOps (Machine Learning Operations), Workflow Management, Data Governance, Data Management, Google Cloud Platform, Data Processing, Applied Machine Learning, Tensorflow, Data Pipelines, Machine Learning, Feature Engineering, Data Transformation, Artificial Neural Networks

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Web Frameworks, Rust (Programming Language), Microsoft Copilot, DevOps, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Command-Line Interface, Big Data

    4.2
    Rating, 4.2 out of 5 stars
    ·
    205 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Fundamentals of Machine Learning for Healthcare

    Skills you'll gain: Healthcare Ethics, Data Ethics, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Responsible AI, Artificial Neural Networks, Healthcare Industry Knowledge, Medical Science and Research, Health Care, Artificial Intelligence and Machine Learning (AI/ML), Reinforcement Learning, Supervised Learning, Health Informatics, Deep Learning, Health Policy, Data Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    596 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Machine Learning with PySpark

    Skills you'll gain: PySpark, Performance Tuning, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Managing Machine Learning Projects with Google Cloud

    Skills you'll gain: Data Ethics, Google Cloud Platform, Responsible AI, Machine Learning, Data Strategy, Data Governance, Innovation, AI Product Strategy, Feasibility Studies, Business Analysis, Business Priorities, Project Management Life Cycle

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Production Machine Learning Systems

    Skills you'll gain: MLOps (Machine Learning Operations), Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Systems Architecture, Performance Tuning, Applied Machine Learning, Machine Learning, Distributed Computing, Scalability, Data Pipelines

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1K reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    P

    Pearson

    AWS Certified Machine Learning - Specialty

    Skills you'll gain: Exploratory Data Analysis, Data Analysis, Amazon Elastic Compute Cloud, Amazon CloudWatch, Application Deployment, Predictive Modeling, Data Pipelines, Data Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Managing Google Cloud's Apigee API Platform for Hybrid Cloud

    Skills you'll gain: API Gateway, Cloud API, Application Programming Interface (API), Kubernetes, Google Cloud Platform, Hybrid Cloud Computing, Application Performance Management, Capacity Management, Scalability, Application Security, Cloud-Native Computing, Security Controls, System Monitoring, Application Deployment, Patch Management, Proxy Servers, Restful API, Data Security, Network Troubleshooting, Configuration Management

    4.6
    Rating, 4.6 out of 5 stars
    ·
    57 reviews

    Beginner · Specialization · 1 - 3 Months

1234…777

In summary, here are 10 of our most popular hybrid cloud computing machine learning courses

  • Data Engineering, Big Data, and Machine Learning on GCP: Google Cloud
  • AI Workflow: Enterprise Model Deployment: IBM
  • Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs: Google Cloud
  • Scalable Machine Learning on Big Data using Apache Spark: IBM
  • Machine Learning in the Enterprise - 日本語版: Google Cloud
  • DevOps, DataOps, MLOps: Duke University
  • Fundamentals of Machine Learning for Healthcare: Stanford University
  • Machine Learning with PySpark: Edureka
  • Managing Machine Learning Projects with Google Cloud: Google Cloud
  • Production Machine Learning Systems: Google Cloud

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