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  • Hybrid Cloud Computing Machine Learning

Results for "hybrid cloud computing machine learning"


  • 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, Model Training, Amazon Web Services, Feature Engineering, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Machine Learning, Python Programming

    3.5
    Rating, 3.5 out of 5 stars
    ·
    56 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Build and Operate Machine Learning Solutions with Azure

    Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Store, Databricks, Cloud Management, Cloud Computing, Applied Machine Learning, Model Deployment, Data Pipelines, Model Training, Data Preprocessing, Model Optimization, Responsible AI, Machine Learning, Model Evaluation, Information Privacy, Data Security

    3.7
    Rating, 3.7 out of 5 stars
    ·
    71 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    C

    Coursera

    Operationalizing ML Models: MLOps for Scalable AI

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, CI/CD, Continuous Deployment, Docker (Software), Kubernetes, Model Training, Containerization, AI Workflows, Model Optimization, Scalability, Devops Tools, DevOps, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Google Cloud

    Introdução à IA e ao machine learning no Google Cloud

    Skills you'll gain: Google Cloud Platform, Google Gemini, Generative AI Agents, Generative AI, MLOps (Machine Learning Operations), Applied Machine Learning, AI Workflows, Artificial Intelligence, Model Training, Cloud Infrastructure, Big Data, Model Deployment, Data Infrastructure, Prompt Engineering, Large Language Modeling, Agentic Workflows, Natural Language Processing, Model Evaluation, Predictive Modeling, Cloud Storage

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Innovating with Google Cloud Artificial Intelligence - 日本語版

    Skills you'll gain: Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Data Ethics, Responsible AI, Digital Transformation, Artificial Intelligence, Data Quality, Application Programming Interface (API), Cloud API, Applied Machine Learning, Model Deployment, Machine Learning, MLOps (Machine Learning Operations), Natural Language Processing

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Learning TensorFlow: the Hello World of Machine Learning

    Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Data-Driven Decision-Making, Model Training, Applied Machine Learning, Machine Learning Methods, Artificial Neural Networks, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Development Environment

    4
    Rating, 4 out of 5 stars
    ·
    20 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow Google Cloud 日本語版

    Skills you'll gain: Model Optimization, Feature Engineering, Tensorflow, Model Deployment, Machine Learning, Machine Learning Methods, Google Cloud Platform, Machine Learning Software, Applied Machine Learning, Data Preprocessing, Cloud Storage, Keras (Neural Network Library), Data Quality, Cloud Computing, Model Training, Machine Learning Algorithms, Statistical Machine Learning, Embeddings, Fine-tuning, Dataflow

    4.4
    Rating, 4.4 out of 5 stars
    ·
    152 reviews

    Intermediate · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Pengantar AI dan Machine Learning di Google Cloud

    Skills you'll gain: Google Cloud Platform, Generative AI, Generative AI Agents, MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Agentic Workflows, Applied Machine Learning, Model Deployment, Model Training, Machine Learning, Prompt Engineering, Predictive Modeling

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Create Machine Learning Models in Microsoft Azure

    Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Convolutional Neural Networks, Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Classification Algorithms, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Model Training, Transfer Learning, Databricks, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    331 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Introduction to AI and Machine Learning on GC - 繁體中文

    Skills you'll gain: Prompt Engineering, Generative AI, Google Cloud Platform, Generative AI Agents, Google Gemini, MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Agentic Workflows, Infrastructure Architecture, Artificial Intelligence, AI literacy, AI Orchestration, Big Data, Applied Machine Learning, Model Deployment, Model Training, Data Preprocessing, Machine Learning

    Beginner · Course · 1 - 3 Months

  • 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: Free
    Free
    C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Model Deployment, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Machine Learning Software, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Predictive Analytics, Model Training, Cloud Deployment, Feature Engineering, Machine Learning Algorithms, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    830 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • Build and Operate Machine Learning Solutions with Azure: Microsoft
  • Operationalizing ML Models: MLOps for Scalable AI: Coursera
  • Introdução à IA e ao machine learning no Google Cloud: Google Cloud
  • Innovating with Google Cloud Artificial Intelligence - 日本語版: Google Cloud
  • Learning TensorFlow: the Hello World of Machine Learning: Google Cloud
  • Machine Learning with TensorFlow Google Cloud 日本語版: Google Cloud
  • Pengantar AI dan Machine Learning di Google Cloud: Google Cloud
  • Create Machine Learning Models in Microsoft Azure: Microsoft
  • Introduction to AI and Machine Learning on GC - 繁體中文: Google Cloud

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