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Gain the necessary knowledge about how to use Azure services to develop, train, and deploy, machine learning solutions. The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, Azure Machine Learning service, to automate the data science pipeline. This course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.
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Course Contents
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- Doing Data Science on Azure
- Doing Data Science with Azure Machine Learning service
- Automate Machine Learning with Azure Machine Learning service
- Manage and Monitor Machine Learning Models with the Azure Machine Learning service
The original Microsoft courseware is made available to you online.
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Target Group
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This course is aimed at data scientists and those with significant responsibilities in training and deploying machine learning models.
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Knowledge Prerequisites
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Before attending this course, students must have:
- Azure Fundamentals
- Understanding of data science including how to prepare data, train models, and evaluate competing models to select the best one.
- How to program in the Python programming language and use the Python libraries: pandas, scikit-learn, matplotlib, and seaborn.
| Module 1: Doing Data Science on Azure |
| The student will learn about the data science process and the role of the data scientist. This is then applied to understand how Azure services can support and augment the data science process. |
| Introduce the Data Science Process |
| Overview of Azure Data Science Options |
| Introduce Azure Notebooks |
| Module 2: Doing Data Science with Azure Machine Learning service |
| The student will learn how to use Azure Machine Learning service to automate the data science process end to end. |
| Introduce Azure Machine Learning (AML) service |
| Register and deploy ML models with AML service |
| Module 3: Automate Machine Learning with Azure Machine Learning service |
| In this module, the student will learn about the machine learning pipeline and how the Azure Machine Learning service's AutoML and HyperDrive can automate some of the laborious parts of it. |
| Automate Machine Learning Model Selection |
| Automate Hyperparameter Tuning with HyperDrive |
| Module 4: Manage and Monitor Machine Learning Models with the Azure Machine Learning service |
| In this module, the student will learn how to automatically manage and monitor machine learning models in the Azure Machine Learning service. |
| Manage and Monitor Machine Learning Models |
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Classroom training
- Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
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Online training
- You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
-
Tailor-made courses
-
You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
Request for customized courses
You can find the complete description of this course with dates and prices ready for download at as PDF.-
Gain the necessary knowledge about how to use Azure services to develop, train, and deploy, machine learning solutions. The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, Azure Machine Learning service, to automate the data science pipeline. This course is focused on Azure and does not teach the student how to do data science. It is assumed students already know that.
-
Course Contents
-
- Doing Data Science on Azure
- Doing Data Science with Azure Machine Learning service
- Automate Machine Learning with Azure Machine Learning service
- Manage and Monitor Machine Learning Models with the Azure Machine Learning service
The original Microsoft courseware is made available to you online.
-
Target Group
-
This course is aimed at data scientists and those with significant responsibilities in training and deploying machine learning models.
-
Knowledge Prerequisites
-
Before attending this course, students must have:
- Azure Fundamentals
- Understanding of data science including how to prepare data, train models, and evaluate competing models to select the best one.
- How to program in the Python programming language and use the Python libraries: pandas, scikit-learn, matplotlib, and seaborn.
| Module 1: Doing Data Science on Azure |
| The student will learn about the data science process and the role of the data scientist. This is then applied to understand how Azure services can support and augment the data science process. |
| Introduce the Data Science Process |
| Overview of Azure Data Science Options |
| Introduce Azure Notebooks |
| Module 2: Doing Data Science with Azure Machine Learning service |
| The student will learn how to use Azure Machine Learning service to automate the data science process end to end. |
| Introduce Azure Machine Learning (AML) service |
| Register and deploy ML models with AML service |
| Module 3: Automate Machine Learning with Azure Machine Learning service |
| In this module, the student will learn about the machine learning pipeline and how the Azure Machine Learning service's AutoML and HyperDrive can automate some of the laborious parts of it. |
| Automate Machine Learning Model Selection |
| Automate Hyperparameter Tuning with HyperDrive |
| Module 4: Manage and Monitor Machine Learning Models with the Azure Machine Learning service |
| In this module, the student will learn how to automatically manage and monitor machine learning models in the Azure Machine Learning service. |
| Manage and Monitor Machine Learning Models |
-
Classroom training
- Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
-
Online training
- You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
-
Tailor-made courses
-
You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
Request for customized courses
You can find the complete description of this course with dates and prices ready for download at as PDF.
Guaranteed date
Online Training
Trainer language German