Create ML Models in Microsoft Azure

Create ML Models in Microsoft Azure

(0 reviews)
Share icon

The course outlines techniques for establishing a data science environment on Azure and conducting predictive model training and data experimentation.

Key AI Functions:Modeling,Microsoft Azure,Machine Learning,Experiment

Description for Create ML Models in Microsoft Azure

Features of Course

  • How to effectively plan and establish a working environment for data science workloads on Azure
  • Predictive model training and data experimentation
  • Level: Intermediate

    Certification Degree: Yes

    Languages the Course is Available: 21

    Offered by: On Coursera provided by Microsoft

    Duration: 12 hours (approximately)

    Schedule: Flexible

    Reviews for Create ML Models in Microsoft Azure

    0 / 5

    from 0 reviews

    Ease of Use

    Ease of Customization

    Intuitive Interface

    Value for Money

    Support Team Responsiveness

    Alternative Tools for Create ML Models in Microsoft Azure

    icon
    Paid

    The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.

    #research #marketing
    icon
    icon
    Freemium

    The AI tool offers real-time behavior segmentation across industries, integrating diverse data sources and leveraging the Personalive� system for personalized insights, with resources available for data scientists.

    #marketing #social media
    icon
    icon
    Paid

    Sturppy Plus, acting as a dedicated CFO powered by AI, streamlines financial management processes for startups and small businesses, offering cost-effective insights and financial modeling utilities without the need for prior finance knowledge.

    #finance #startups
    icon

    Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.

    #Artificial Intelligence (AI) #Data Science
    icon

    Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.

    #Artificial Intelligence (AI) #Python Programming
    icon

    Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world

    #Tensorflow #Machine Learning
    icon

    Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.

    #Generative AI #Large Language Models
    icon

    Learn the significance, use cases, history, and pros and cons of generative AI in a business context, with a focus on its relationship to machine learning and services at Amazon.

    #Generative AI #Amazon Web Services
    icon

    Acquire practical skills to build a generative AI application by constructing a retrieval augmented generation (RAG) system using data, Qdrant, and LLMs.

    #Python Programming #Machine Learning
    icon

    The "Introduction to Vertex AI" course provides a four-hour, practical, and fundamental overview of Vertex AI, ideal for professionals and enthusiasts aiming to leverage AI effectively.

    #Critical Thinking #MLOps (Machine Learning Operations)
    icon