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  • Azure Ai Models

Results for "azure ai models"


  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    Azure ML: Designing and Preparing Machine Learning Solutions

    Skills you'll gain: Data Management, Statistical Modeling

    Intermediate · Course · 1 - 4 Weeks

  • H

    H2O.ai

    H2O Gen AI Ecosystem Overview - Level 1

    Skills you'll gain: Large Language Modeling, LLM Application, Generative AI, Prompt Engineering, Data Processing, Application Development, MLOps (Machine Learning Operations), Open Source Technology

    Intermediate · Course · 1 - 3 Months

  • H

    H2O.ai

    H2O Cloud AI Developer Services

    Skills you'll gain: Large Language Modeling, Image Analysis, Cloud Services, Applied Machine Learning, Computer Vision, MLOps (Machine Learning Operations), Artificial Intelligence, Generative AI, Natural Language Processing, Document Management, Integrated Development Environments, Data Integration, Application Deployment

    Intermediate · Course · 1 - 3 Months

  • L

    LearnQuest

    Developing AI Applications on Azure

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Microsoft Azure, Applied Machine Learning, Python Programming, Machine Learning, Machine Learning Algorithms, Data Science, Image Analysis, Computer Vision, Application Deployment, Natural Language Processing, Application Programming Interface (API)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    978 reviews

    Advanced · Course · 1 - 3 Months

  • C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Applied Machine Learning, Classification And Regression Tree (CART), Predictive Modeling, Microsoft Azure, No-Code Development, Machine Learning, Feature Engineering, Data Pipelines, Data Science, Data Analysis, Data Processing, Application Deployment

    4.5
    Rating, 4.5 out of 5 stars
    ·
    817 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    A

    Amazon Web Services

    AWS Services for AI Solutions

    Skills you'll gain: Prompt Engineering, Amazon Bedrock, AWS SageMaker, Generative AI Agents, Generative AI, Amazon Web Services, Solution Architecture, Artificial Intelligence, Data Quality, Computer Vision, Scalability, Data Pipelines, Natural Language Processing, Personally Identifiable Information

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    A

    Amazon Web Services

    AI Fundamentals and the Cloud

    Skills you'll gain: Responsible AI, Amazon Bedrock, AWS SageMaker, Amazon Web Services, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Cloud Development, Large Language Modeling, Application Development

    4.6
    Rating, 4.6 out of 5 stars
    ·
    65 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Building AI-Powered Application with .NET

    Skills you'll gain: .NET Framework, Machine Learning, Artificial Intelligence, Microsoft Copilot, Generative AI, Applied Machine Learning, OpenAI, Microsoft Azure, MLOps (Machine Learning Operations), Development Environment, Microsoft Development Tools, Image Analysis, Responsible AI, Computer Vision, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    I

    IBM

    Machine Learning Rapid Prototyping with IBM Watson Studio

    Skills you'll gain: Feature Engineering, Data Transformation, Data Processing, Data Cleansing, Applied Machine Learning, MLOps (Machine Learning Operations), Predictive Modeling, Exploratory Data Analysis, Automation, Machine Learning Methods, Machine Learning, Scikit Learn (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Data Science, IBM Cloud, Python Programming, Performance Tuning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    16 reviews

    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, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Cloud Engineering, Artificial Intelligence and Machine Learning (AI/ML), Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Amazon S3, Machine Learning, Machine Learning Algorithms, Python Programming

    3.7
    Rating, 3.7 out of 5 stars
    ·
    53 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: AI in Production

    Skills you'll gain: Application Deployment, MLOps (Machine Learning Operations), Unit Testing, Docker (Software), Containerization, Kubernetes, IBM Cloud, Continuous Deployment, Microservices, User Feedback, Machine Learning, Performance Analysis, Responsible AI, Business Metrics, Natural Language Processing, Time Series Analysis and Forecasting, Continuous Monitoring, Data Science, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    54 reviews

    Advanced · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Explore and Evaluate Models using Model Garden

    Skills you'll gain: Google Cloud Platform, Cloud Computing, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods

    Intermediate · Project · Less Than 2 Hours

Searches related to azure ai models

azure ai & ml: optimize language models for ai applications
1…789…402

In summary, here are 10 of our most popular azure ai models courses

  • Azure ML: Designing and Preparing Machine Learning Solutions: Whizlabs
  • H2O Gen AI Ecosystem Overview - Level 1: H2O.ai
  • H2O Cloud AI Developer Services: H2O.ai
  • Developing AI Applications on Azure: LearnQuest
  • Machine Learning Pipelines with Azure ML Studio: Coursera
  • AWS Services for AI Solutions: Amazon Web Services
  • AI Fundamentals and the Cloud: Amazon Web Services
  • Building AI-Powered Application with .NET: Packt
  • Machine Learning Rapid Prototyping with IBM Watson Studio: IBM
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University

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