Azure AI Fundamentals: Machine Learning with Azure Services
Azure
| Beginner
- 18 videos | 1h 50m 41s
- Includes Assessment
- Earns a Badge
Azure ML provides a suite of services to help with machine learning by providing a single interface to build, manage, deploy, test, and collaborate via the Azure Machine Learning Studio. In this course, you'll learn about the Azure ML services provided, including as Machine Learning designer and automated machine learning. You'll explore how to access and use the Azure Machine Learning Studio and review the Machine Learning features available in the service. In particular, you'll learn about the features of the Computer Vision, Custom Vision, Face, and Form Recognizer services. This course is one of a collection that prepares learners for the Microsoft Azure AI Fundamentals (AI-900) exam.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this course
Describe the machine learning services provided by azure
Describe the azure machine learning studio
Register and signup for an azure machine learning studio account and access the studio dashboard
Inspect the azure ml studio sidebar components used for creating machine learning workflows
Describe the features and services provided by the azure computer vision service
Describe the uses of the custom vision service
Describe the features and services provided by the azure face service
Describe the features and capabilities of the form recognizer service -
Identify the process and functions of azure ml studio for creating, running, and maintaining ai workloads
Identify and describe the features of a compute target
Describe a dataset and how they are created and managed
Manage pipelines in the azure ml studio interface
Describe the limitations and features of automated ml model training
Describe an experiment and how to run it in azure ml studio
Identify and interpret the evaluation metrics for a run of a classification model
Identify and interpret the evaluation metrics for a run of a regression model
Summarize the key concepts covered in this course
IN THIS COURSE
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1m 19s
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8m 22sIn this video, find out how to describe the machine learning services provided by Microsoft Azure. FREE ACCESS
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3. Azure Machine Learning Studio7m 3sUpon completion of this video, you will be able to describe Azure Machine Learning Studio. FREE ACCESS
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4. Signing up for an Azure ML Studio Account4m 37sDuring this video, you will learn how to register and sign up for an Azure Machine Learning Studio account and access the studio dashboard. FREE ACCESS
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5. Inspecting the Azure Machine Learning Features8m 47sTo learn how to inspect the Azure ML Studio sidebar components used for creating machine learning workflows, keep reading. FREE ACCESS
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6. Features of the Computer Vision Service5m 34sLearn how to describe the features and services provided by the Azure Computer Vision Service. FREE ACCESS
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7. Features of the Custom Vision Service5m 34sIn this video, you will learn how to describe the uses of the Custom Vision Service. FREE ACCESS
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8. Features of the Face Service6m 26sDuring this video, you will learn how to describe the features and services provided by the Azure Face service. FREE ACCESS
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9. Features of the Form Recognizer Service5m 30sIn this video, you will learn how to describe the features and capabilities of the Form Recognizer service. FREE ACCESS
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10. Identifying Azure ML Workloads6m 19sDiscover how to identify the process and functions of Azure ML Studio for creating, running, and maintaining AI workloads. FREE ACCESS
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11. Compute Resources6m 5sIn this video, you will identify and describe the features of a computer target. FREE ACCESS
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12. Creating and Managing Datasets in Azure ML Studio6m 30sAfter completing this video, you will be able to describe a dataset and how it is created and managed. FREE ACCESS
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13. Managing Pipelines in Azure ML Studio6m 28sIn this video, find out how to manage pipelines in the Azure ML Studio interface. FREE ACCESS
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14. Algorithms Used for Model Training7m 28sUpon completion of this video, you will be able to describe the limitations and features of automated machine learning model training. FREE ACCESS
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15. Azure ML Services Experiments8m 49sDuring this video, you will learn how to describe an experiment and how to run it in Azure ML studio. FREE ACCESS
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16. Interpreting Evaluation Metrics for Classification7m 14sFind out how to identify and interpret the evaluation metrics for a run of a classification model. FREE ACCESS
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17. Interpreting Model Evaluation Metrics for Regression7m 41sLearn how to identify and interpret the evaluation metrics for a Regression model. FREE ACCESS
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18. Course Summary55sIn this video, we will summarize the key concepts covered in this course. FREE ACCESS
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