01_01. Agenda

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

01_02. Introduction of Azure Machine learning

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

01_03. Create Azure Free Account

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

02_01. AzureML Architecture-Part1

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

02_02. AzureML Architecture-Part2

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

02_03. AzureML Architecture-Part3

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

03_01. Create and execute ML in local Virtual environment-Part1

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

03_02. Create and execute ML in local Virtual environment-Part2

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

03_03. Machine Learning in Local environment

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

04_01. Create Workspace

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

04_02. Workspace Capabilities

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

05_01. Importing Python AzureML Libraries

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

05_02. Workspace creation using Python SDK

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

05_03. Explore Workspace in Azure Portal

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

05_03. Explore Workspace in Azure Portal.mp4.jpg

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

05_04. Azure compute cluster creation using Python

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

06_01. Train Model-Part1

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

06_02. Train Model-Part2

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

06_03. Learn to pass argument at runtime in Python

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

06_04. Runtime argument in AzureML

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

06_05. Log the metrices

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

06_06. Register the Model

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

06_07. Deploy Model in Azure ML-Part1

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

06_08. Deploy Model Azure ML-Part2

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

06_09. Deploy Model Azure ML-Part3

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

06_10. Deploy Model Azure ML-Part4

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

06_11. ScorePredict the Model in AzureML

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

07_01. Creating YML file to create virtual environment

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

07_02. Pytorch Deep Learning Train Model

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

07_03. Train Model

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

07_04. Pytorch Train Model in AzureML using Python SDK

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

08_01. Register azure SQLDB to AzureML-Part1

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

08_02. Register azure SQLDB to AzureML-Part2

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

08_03. Register azure SQLDB to AzureML-Part3

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

09_01. AzureML Pipeline-Part1

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

09_02. AzureML Pipeline-Part2

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