Machine Learning Engineer with Microsoft Azure
About Course
Machine learning is a critical business operation for many organizations. Learn how to configure machine learning pipelines in Azure. Identify use cases for Automated Machine Learning. Use the Azure ML SDK to design, create, and manage machine learning pipelines in Azure.eDiploma Credit: 2 Points
This goal of this Nanodegree Program is to
enhance your skills by building and deploying
sophisticated Machine Learning (ML)
Solutions using popular open source tools
and frameworks such as scikit-learn. You will
also gain experience in understanding ML
models, protecting people and their data, and
controlling the end-to-end ML lifecycle at scale.
A graduate of this program will be able to:
- Analyze how to manage data
- Run complex machine learning tasks using Azure labs
- Identify use cases for Automated Machine
Learning - Use the Azure ML SDK to design, create and
manage machine learning pipelines in Azure - Analyze model interpretations
Course Curriculum
Using Azure Machine Learning
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INTRODUCTION TO AZURE ML
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WORKSPACES AND THE AZURE ML STUDIO
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DATASTORES AND DATASETS
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TRAINING MODELS IN AZURE ML
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THE AZUREML SDK
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AUTOML AND HYPERPARAMETER
Machine Learning Operations
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ENABLING SECURITY
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DEPLOY A ML MODEL
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ML ENDPOINTS
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PIPELINE AUTOMATION
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