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    DP-100 Azure Machine Learning in Python-Basic to Advance

    Posted By: ELK1nG
    DP-100 Azure Machine Learning in Python-Basic to Advance

    DP-100AzureMachineLearninginPython-BasictoAdvance
    Last Update: 7/2021
    Duration: 3h 24m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 1.1 GB
    Genre: eLearning | Language: English

    Machine learning workflow orchestration to automate model training, deployment, and management processes using python.

    What you'll learn:
    Azure ML Architecture
    Train a Machine learning with Azure ML in python
    Attached Storage with your Azure ML
    Deploy real time machine service
    Azure Auto ML
    Azure Designer Studio
    Requirements:
    Free or paid subscription to Microsoft Azure is required. It may ask for Phone and/or Credit Card for verification
    Python Basic knowledge
    Description:
    This course has been designed keeping in mind entry level Data Scientists or no background in programming. This course will also help the data scientists and python developers to learn the AzureML .
    This course is designed based on latest changes done in DP-100 Certification.
    This course would also be useful for the experts who needs to know how to create and deploy a machine learning environment in production. Environment could be cloud or on-premises
    In this course student will learn to:-
    Create Free Azure account and how to access AzureML studio
    We will learn complete architecture of Azure Machine learning
    How we can create a virtual env for python using yml file in your local machine
    Will train machine learning and deep learning algorithm in azure ml in local machine and same code will be executed in azure as well.
    How different storage can be attached to azure ml like Azure SQL DB
    How to deploy ML in azure and do real time prediction
    We will cover how to create machine learning pipeline and how to do hyperparameter tuning
    We will also learn how to implement Azure Auto ML
    How to create complete machine learning lifecycle without writing a single code with the help of azure machine learning studio.
    Understanding of the components and how they work together to assist in the process of building, deploying, and maintaining machine learning models.
    Provision an Azure Machine Learning workspace
    Use tools and interfaces to work with Azure Machine Learning.
    Run code-based experiments in an Azure Machine Learning workspace.

    Who this course is for:
    Developer or data scientist execute model in Azure
    Developers who want to start a career in or wants to learn about the exciting domain of Data Science and Machine Learning
    Business Analysts who want to apply Data Science to solve business problems